commit 856faa896eebdd8a43e20c9f123c414ab6804d2d Author: Leivur R. Djurhuus Date: Sat Feb 28 20:58:48 2026 -0600 Initial scaffold: Next.js 16, TypeScript, Tailwind CSS 4, ESLint, Prettier - App Router with src/ directory structure - Design system CSS variables (Oliver/Brandtech palette, light + dark mode) - Montserrat + Inter + JetBrains Mono font configuration - next-themes provider for theme toggle - Full folder structure per implementation plan - nvm configured for Node 22 Co-Authored-By: Claude Opus 4.6 diff --git a/.agents/skills/anthropics-applying-brand-guidelines/REFERENCE.md b/.agents/skills/anthropics-applying-brand-guidelines/REFERENCE.md new file mode 100644 index 0000000..c453dca --- /dev/null +++ b/.agents/skills/anthropics-applying-brand-guidelines/REFERENCE.md @@ -0,0 +1,137 @@ +# Brand Guidelines Reference + +## Quick Reference Card + +### Must-Have Elements +✅ Company logo on first page/slide +✅ Correct brand colors (no variations) +✅ Approved fonts only +✅ Consistent formatting throughout +✅ Professional tone of voice + +### Never Use +❌ Competitor logos or references +❌ Unapproved colors or gradients +❌ Decorative or script fonts +❌ Pixelated or stretched logos +❌ Informal language or slang + +## Color Codes Reference + +### For Digital (RGB/Hex) +| Color Name | Hex Code | RGB | Usage | +|------------|----------|-----|-------| +| Acme Blue | #0066CC | 0, 102, 204 | Primary headers, CTAs | +| Acme Navy | #003366 | 0, 51, 102 | Body text, secondary | +| Success Green | #28A745 | 40, 167, 69 | Positive values | +| Warning Amber | #FFC107 | 255, 193, 7 | Warnings, attention | +| Error Red | #DC3545 | 220, 53, 69 | Errors, negative | +| Neutral Gray | #6C757D | 108, 117, 125 | Muted text | +| Light Gray | #F8F9FA | 248, 249, 250 | Backgrounds | + +### For Print (CMYK) +| Color Name | CMYK | Pantone | +|------------|------|---------| +| Acme Blue | 100, 50, 0, 20 | 2935 C | +| Acme Navy | 100, 50, 0, 60 | 2965 C | + +## Document Templates + +### Email Signature +``` +[Name] +[Title] +Acme Corporation | Innovation Through Excellence +[Phone] | [Email] +www.acmecorp.example +``` + +### Slide Footer +``` +© 2025 Acme Corporation | Confidential | Page [X] +``` + +### Report Header +``` +[Logo] [Document Title] Page [X] of [Y] +``` + +## Accessibility Standards + +### Color Contrast +- Text on white background: Use Acme Navy (#003366) +- Text on blue background: Use white (#FFFFFF) +- Minimum contrast ratio: 4.5:1 for body text +- Minimum contrast ratio: 3:1 for large text + +### Font Sizes +- Minimum body text: 11pt (print), 14px (digital) +- Minimum caption text: 9pt (print), 12px (digital) + +## File Naming Conventions + +### Standard Format +``` +YYYY-MM-DD_DocumentType_Version_Status.ext +``` + +### Examples +- `2025-01-15_QuarterlyReport_v2_FINAL.pptx` +- `2025-01-15_BudgetAnalysis_v1_DRAFT.xlsx` +- `2025-01-15_Proposal_v3_APPROVED.pdf` + +## Common Mistakes to Avoid + +1. **Wrong Blue**: Using generic blue instead of Acme Blue #0066CC +2. **Stretched Logo**: Always maintain aspect ratio +3. **Too Many Colors**: Stick to the approved palette +4. **Inconsistent Fonts**: Don't mix font families +5. **Missing Logo**: Always include on first page +6. **Wrong Date Format**: Use "Month DD, YYYY" +7. **Decimal Places**: Be consistent (currency: 2, percentage: 1) + +## Department-Specific Guidelines + +### Finance +- Always right-align numbers in tables +- Use parentheses for negative values: ($1,234) +- Include data source citations + +### Marketing +- Can use full secondary color palette +- May include approved imagery +- Follow social media specific guidelines when applicable + +### Legal +- Use numbered sections (1.0, 1.1, 1.2) +- Include document control information +- Apply "Confidential" watermark when needed + +## International Considerations + +### Date Formats by Region +- **US**: Month DD, YYYY (January 15, 2025) +- **UK**: DD Month YYYY (15 January 2025) +- **ISO**: YYYY-MM-DD (2025-01-15) + +### Currency Display +- **USD**: $1,234.56 +- **EUR**: €1.234,56 +- **GBP**: £1,234.56 + +## Version History + +| Version | Date | Changes | +|---------|------|---------| +| 2.0 | Jan 2025 | Added digital color codes | +| 1.5 | Oct 2024 | Updated font guidelines | +| 1.0 | Jan 2024 | Initial brand guidelines | + +## Contact for Questions + +**Brand Team** +Email: brand@acmecorp.example +Slack: #brand-guidelines + +**For Exceptions** +Submit request to brand team with business justification \ No newline at end of file diff --git a/.agents/skills/anthropics-applying-brand-guidelines/SKILL.md b/.agents/skills/anthropics-applying-brand-guidelines/SKILL.md new file mode 100644 index 0000000..6921723 --- /dev/null +++ b/.agents/skills/anthropics-applying-brand-guidelines/SKILL.md @@ -0,0 +1,172 @@ +--- +name: anthropics-applying-brand-guidelines +description: This skill applies consistent corporate branding and styling to all + generated documents including colors, fonts, layouts, and messaging +--- + +# Corporate Brand Guidelines Skill + +This skill ensures all generated documents adhere to corporate brand standards for consistent, professional communication. + +## Brand Identity + +### Company: Acme Corporation +**Tagline**: "Innovation Through Excellence" +**Industry**: Technology Solutions + +## Visual Standards + +### Color Palette + +**Primary Colors**: +- **Acme Blue**: #0066CC (RGB: 0, 102, 204) - Headers, primary buttons +- **Acme Navy**: #003366 (RGB: 0, 51, 102) - Text, accents +- **White**: #FFFFFF - Backgrounds, reverse text + +**Secondary Colors**: +- **Success Green**: #28A745 (RGB: 40, 167, 69) - Positive metrics +- **Warning Amber**: #FFC107 (RGB: 255, 193, 7) - Cautions +- **Error Red**: #DC3545 (RGB: 220, 53, 69) - Negative values +- **Neutral Gray**: #6C757D (RGB: 108, 117, 125) - Secondary text + +### Typography + +**Primary Font Family**: Segoe UI, system-ui, -apple-system, sans-serif + +**Font Hierarchy**: +- **H1**: 32pt, Bold, Acme Blue +- **H2**: 24pt, Semibold, Acme Navy +- **H3**: 18pt, Semibold, Acme Navy +- **Body**: 11pt, Regular, Acme Navy +- **Caption**: 9pt, Regular, Neutral Gray + +### Logo Usage + +- Position: Top-left corner on first page/slide +- Size: 120px width (maintain aspect ratio) +- Clear space: Minimum 20px padding on all sides +- Never distort, rotate, or apply effects + +## Document Standards + +### PowerPoint Presentations + +**Slide Templates**: +1. **Title Slide**: Company logo, presentation title, date, presenter +2. **Section Divider**: Section title with blue background +3. **Content Slide**: Title bar with blue background, white content area +4. **Data Slide**: For charts/graphs, maintain color palette + +**Layout Rules**: +- Margins: 0.5 inches all sides +- Title position: Top 15% of slide +- Bullet indentation: 0.25 inches per level +- Maximum 6 bullet points per slide +- Charts use brand colors exclusively + +### Excel Spreadsheets + +**Formatting Standards**: +- **Headers**: Row 1, Bold, White text on Acme Blue background +- **Subheaders**: Bold, Acme Navy text +- **Data cells**: Regular, Acme Navy text +- **Borders**: Thin, Neutral Gray +- **Alternating rows**: Light gray (#F8F9FA) for readability + +**Chart Defaults**: +- Primary series: Acme Blue +- Secondary series: Success Green +- Gridlines: Neutral Gray, 0.5pt +- No 3D effects or gradients + +### PDF Documents + +**Page Layout**: +- **Header**: Company logo left, document title center, page number right +- **Footer**: Copyright notice left, date center, classification right +- **Margins**: 1 inch all sides +- **Line spacing**: 1.15 +- **Paragraph spacing**: 12pt after + +**Section Formatting**: +- Main headings: Acme Blue, 16pt, bold +- Subheadings: Acme Navy, 14pt, semibold +- Body text: Acme Navy, 11pt, regular + +## Content Guidelines + +### Tone of Voice + +- **Professional**: Formal but approachable +- **Clear**: Avoid jargon, use simple language +- **Active**: Use active voice, action-oriented +- **Positive**: Focus on solutions and benefits + +### Standard Phrases + +**Opening Statements**: +- "At Acme Corporation, we..." +- "Our commitment to innovation..." +- "Delivering excellence through..." + +**Closing Statements**: +- "Thank you for your continued partnership." +- "We look forward to serving your needs." +- "Together, we achieve excellence." + +### Data Presentation + +**Numbers**: +- Use comma separators for thousands +- Currency: $X,XXX.XX format +- Percentages: XX.X% (one decimal) +- Dates: Month DD, YYYY + +**Tables**: +- Headers in brand blue +- Alternating row colors +- Right-align numbers +- Left-align text + +## Quality Standards + +### Before Finalizing + +Always ensure: +1. Logo is properly placed and sized +2. All colors match brand palette exactly +3. Fonts are consistent throughout +4. No typos or grammatical errors +5. Data is accurately presented +6. Professional tone maintained + +### Prohibited Elements + +Never use: +- Clip art or stock photos without approval +- Comic Sans, Papyrus, or decorative fonts +- Rainbow colors or gradients +- Animations or transitions (unless specified) +- Competitor branding or references + +## Application Instructions + +When creating any document: +1. Start with brand colors and fonts +2. Apply appropriate template structure +3. Include logo on first page/slide +4. Use consistent formatting throughout +5. Review against brand standards +6. Ensure professional appearance + +## Scripts + +- `apply_brand.py`: Automatically applies brand formatting to documents +- `validate_brand.py`: Checks documents for brand compliance + +## Notes + +- These guidelines apply to all external communications +- Internal documents may use simplified formatting +- Special projects may have exceptions (request approval) +- Brand guidelines updated quarterly - check for latest version diff --git a/.agents/skills/anthropics-applying-brand-guidelines/apply_brand.py b/.agents/skills/anthropics-applying-brand-guidelines/apply_brand.py new file mode 100644 index 0000000..246146a --- /dev/null +++ b/.agents/skills/anthropics-applying-brand-guidelines/apply_brand.py @@ -0,0 +1,432 @@ +""" +Brand application module for corporate document styling. +Applies consistent branding to Excel, PowerPoint, and PDF documents. +""" + +from typing import Any + + +class BrandFormatter: + """Apply corporate brand guidelines to documents.""" + + # Brand color definitions + COLORS = { + "primary": { + "acme_blue": {"hex": "#0066CC", "rgb": (0, 102, 204)}, + "acme_navy": {"hex": "#003366", "rgb": (0, 51, 102)}, + "white": {"hex": "#FFFFFF", "rgb": (255, 255, 255)}, + }, + "secondary": { + "success_green": {"hex": "#28A745", "rgb": (40, 167, 69)}, + "warning_amber": {"hex": "#FFC107", "rgb": (255, 193, 7)}, + "error_red": {"hex": "#DC3545", "rgb": (220, 53, 69)}, + "neutral_gray": {"hex": "#6C757D", "rgb": (108, 117, 125)}, + "light_gray": {"hex": "#F8F9FA", "rgb": (248, 249, 250)}, + }, + } + + # Font definitions + FONTS = { + "primary": "Segoe UI", + "fallback": ["system-ui", "-apple-system", "sans-serif"], + "sizes": {"h1": 32, "h2": 24, "h3": 18, "body": 11, "caption": 9}, + "weights": {"regular": 400, "semibold": 600, "bold": 700}, + } + + # Company information + COMPANY = { + "name": "Acme Corporation", + "tagline": "Innovation Through Excellence", + "copyright": "© 2025 Acme Corporation. All rights reserved.", + "website": "www.acmecorp.example", + "logo_path": "assets/acme_logo.png", + } + + def __init__(self): + """Initialize brand formatter with standard settings.""" + self.colors = self.COLORS + self.fonts = self.FONTS + self.company = self.COMPANY + + def format_excel(self, workbook_config: dict[str, Any]) -> dict[str, Any]: + """ + Apply brand formatting to Excel workbook configuration. + + Args: + workbook_config: Excel workbook configuration dictionary + + Returns: + Branded workbook configuration + """ + branded_config = workbook_config.copy() + + # Apply header formatting + branded_config["header_style"] = { + "font": { + "name": self.fonts["primary"], + "size": self.fonts["sizes"]["body"], + "bold": True, + "color": self.colors["primary"]["white"]["hex"], + }, + "fill": {"type": "solid", "color": self.colors["primary"]["acme_blue"]["hex"]}, + "alignment": {"horizontal": "center", "vertical": "center"}, + "border": {"style": "thin", "color": self.colors["secondary"]["neutral_gray"]["hex"]}, + } + + # Apply data cell formatting + branded_config["cell_style"] = { + "font": { + "name": self.fonts["primary"], + "size": self.fonts["sizes"]["body"], + "color": self.colors["primary"]["acme_navy"]["hex"], + }, + "alignment": {"horizontal": "left", "vertical": "center"}, + } + + # Apply alternating row colors + branded_config["alternating_rows"] = { + "enabled": True, + "color": self.colors["secondary"]["light_gray"]["hex"], + } + + # Chart color scheme + branded_config["chart_colors"] = [ + self.colors["primary"]["acme_blue"]["hex"], + self.colors["secondary"]["success_green"]["hex"], + self.colors["secondary"]["warning_amber"]["hex"], + self.colors["secondary"]["neutral_gray"]["hex"], + ] + + return branded_config + + def format_powerpoint(self, presentation_config: dict[str, Any]) -> dict[str, Any]: + """ + Apply brand formatting to PowerPoint presentation configuration. + + Args: + presentation_config: PowerPoint configuration dictionary + + Returns: + Branded presentation configuration + """ + branded_config = presentation_config.copy() + + # Slide master settings + branded_config["master"] = { + "background_color": self.colors["primary"]["white"]["hex"], + "title_area": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["h1"], + "color": self.colors["primary"]["acme_blue"]["hex"], + "bold": True, + "position": {"x": 0.5, "y": 0.15, "width": 9, "height": 1}, + }, + "content_area": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["body"], + "color": self.colors["primary"]["acme_navy"]["hex"], + "position": {"x": 0.5, "y": 2, "width": 9, "height": 5}, + }, + "footer": { + "show_slide_number": True, + "show_date": True, + "company_name": self.company["name"], + }, + } + + # Title slide template + branded_config["title_slide"] = { + "background": self.colors["primary"]["acme_blue"]["hex"], + "title_color": self.colors["primary"]["white"]["hex"], + "subtitle_color": self.colors["primary"]["white"]["hex"], + "include_logo": True, + "logo_position": {"x": 0.5, "y": 0.5, "width": 2}, + } + + # Content slide template + branded_config["content_slide"] = { + "title_bar": { + "background": self.colors["primary"]["acme_blue"]["hex"], + "text_color": self.colors["primary"]["white"]["hex"], + "height": 1, + }, + "bullet_style": {"level1": "•", "level2": "○", "level3": "▪", "indent": 0.25}, + } + + # Chart defaults + branded_config["charts"] = { + "color_scheme": [ + self.colors["primary"]["acme_blue"]["hex"], + self.colors["secondary"]["success_green"]["hex"], + self.colors["secondary"]["warning_amber"]["hex"], + self.colors["secondary"]["neutral_gray"]["hex"], + ], + "gridlines": {"color": self.colors["secondary"]["neutral_gray"]["hex"], "width": 0.5}, + "font": {"name": self.fonts["primary"], "size": self.fonts["sizes"]["caption"]}, + } + + return branded_config + + def format_pdf(self, document_config: dict[str, Any]) -> dict[str, Any]: + """ + Apply brand formatting to PDF document configuration. + + Args: + document_config: PDF document configuration dictionary + + Returns: + Branded document configuration + """ + branded_config = document_config.copy() + + # Page layout + branded_config["page"] = { + "margins": {"top": 1, "bottom": 1, "left": 1, "right": 1}, + "size": "letter", + "orientation": "portrait", + } + + # Header configuration + branded_config["header"] = { + "height": 0.75, + "content": { + "left": {"type": "logo", "width": 1.5}, + "center": { + "type": "text", + "content": document_config.get("title", "Document"), + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["body"], + "color": self.colors["primary"]["acme_navy"]["hex"], + }, + "right": {"type": "page_number", "format": "Page {page} of {total}"}, + }, + } + + # Footer configuration + branded_config["footer"] = { + "height": 0.5, + "content": { + "left": { + "type": "text", + "content": self.company["copyright"], + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["caption"], + "color": self.colors["secondary"]["neutral_gray"]["hex"], + }, + "center": {"type": "date", "format": "%B %d, %Y"}, + "right": {"type": "text", "content": "Confidential"}, + }, + } + + # Text styles + branded_config["styles"] = { + "heading1": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["h1"], + "color": self.colors["primary"]["acme_blue"]["hex"], + "bold": True, + "spacing_after": 12, + }, + "heading2": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["h2"], + "color": self.colors["primary"]["acme_navy"]["hex"], + "bold": True, + "spacing_after": 10, + }, + "heading3": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["h3"], + "color": self.colors["primary"]["acme_navy"]["hex"], + "bold": False, + "spacing_after": 8, + }, + "body": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["body"], + "color": self.colors["primary"]["acme_navy"]["hex"], + "line_spacing": 1.15, + "paragraph_spacing": 12, + }, + "caption": { + "font": self.fonts["primary"], + "size": self.fonts["sizes"]["caption"], + "color": self.colors["secondary"]["neutral_gray"]["hex"], + "italic": True, + }, + } + + # Table formatting + branded_config["table_style"] = { + "header": { + "background": self.colors["primary"]["acme_blue"]["hex"], + "text_color": self.colors["primary"]["white"]["hex"], + "bold": True, + }, + "rows": { + "alternating_color": self.colors["secondary"]["light_gray"]["hex"], + "border_color": self.colors["secondary"]["neutral_gray"]["hex"], + }, + } + + return branded_config + + def validate_colors(self, colors_used: list[str]) -> dict[str, Any]: + """ + Validate that colors match brand guidelines. + + Args: + colors_used: List of color codes used in document + + Returns: + Validation results with corrections if needed + """ + results = {"valid": True, "corrections": [], "warnings": []} + + approved_colors = [] + for category in self.colors.values(): + for color in category.values(): + approved_colors.append(color["hex"].upper()) + + for color in colors_used: + color_upper = color.upper() + if color_upper not in approved_colors: + results["valid"] = False + # Find closest brand color + closest = self._find_closest_brand_color(color) + results["corrections"].append( + { + "original": color, + "suggested": closest, + "message": f"Non-brand color {color} should be replaced with {closest}", + } + ) + + return results + + def _find_closest_brand_color(self, color: str) -> str: + """Find the closest brand color to a given color.""" + # Simplified - in reality would calculate color distance + return self.colors["primary"]["acme_blue"]["hex"] + + def apply_watermark(self, document_type: str) -> dict[str, Any]: + """ + Generate watermark configuration for documents. + + Args: + document_type: Type of document (draft, confidential, etc.) + + Returns: + Watermark configuration + """ + watermarks = { + "draft": { + "text": "DRAFT", + "color": self.colors["secondary"]["neutral_gray"]["hex"], + "opacity": 0.1, + "angle": 45, + "font_size": 72, + }, + "confidential": { + "text": "CONFIDENTIAL", + "color": self.colors["secondary"]["error_red"]["hex"], + "opacity": 0.1, + "angle": 45, + "font_size": 60, + }, + "sample": { + "text": "SAMPLE", + "color": self.colors["secondary"]["warning_amber"]["hex"], + "opacity": 0.15, + "angle": 45, + "font_size": 72, + }, + } + + return watermarks.get(document_type, watermarks["draft"]) + + def get_chart_palette(self, num_series: int = 4) -> list[str]: + """ + Get color palette for charts. + + Args: + num_series: Number of data series + + Returns: + List of hex color codes + """ + palette = [ + self.colors["primary"]["acme_blue"]["hex"], + self.colors["secondary"]["success_green"]["hex"], + self.colors["secondary"]["warning_amber"]["hex"], + self.colors["secondary"]["neutral_gray"]["hex"], + self.colors["primary"]["acme_navy"]["hex"], + self.colors["secondary"]["error_red"]["hex"], + ] + + return palette[:num_series] + + def format_number(self, value: float, format_type: str = "general") -> str: + """ + Format numbers according to brand standards. + + Args: + value: Numeric value to format + format_type: Type of formatting (currency, percentage, general) + + Returns: + Formatted string + """ + if format_type == "currency": + return f"${value:,.2f}" + elif format_type == "percentage": + return f"{value:.1f}%" + elif format_type == "large_number": + if value >= 1_000_000: + return f"{value / 1_000_000:.1f}M" + elif value >= 1_000: + return f"{value / 1_000:.1f}K" + else: + return f"{value:.0f}" + else: + return f"{value:,.0f}" if value >= 1000 else f"{value:.2f}" + + +def apply_brand_to_document(document_type: str, config: dict[str, Any]) -> dict[str, Any]: + """ + Main function to apply branding to any document type. + + Args: + document_type: Type of document ('excel', 'powerpoint', 'pdf') + config: Document configuration + + Returns: + Branded configuration + """ + formatter = BrandFormatter() + + if document_type.lower() == "excel": + return formatter.format_excel(config) + elif document_type.lower() in ["powerpoint", "pptx"]: + return formatter.format_powerpoint(config) + elif document_type.lower() == "pdf": + return formatter.format_pdf(config) + else: + raise ValueError(f"Unsupported document type: {document_type}") + + +# Example usage +if __name__ == "__main__": + # Example Excel configuration + excel_config = {"title": "Quarterly Report", "sheets": ["Summary", "Details"]} + + branded_excel = apply_brand_to_document("excel", excel_config) + print("Branded Excel Configuration:") + print(branded_excel) + + # Example PowerPoint configuration + ppt_config = {"title": "Business Review", "num_slides": 10} + + branded_ppt = apply_brand_to_document("powerpoint", ppt_config) + print("\nBranded PowerPoint Configuration:") + print(branded_ppt) diff --git a/.agents/skills/anthropics-applying-brand-guidelines/validate_brand.py b/.agents/skills/anthropics-applying-brand-guidelines/validate_brand.py new file mode 100644 index 0000000..d2c4173 --- /dev/null +++ b/.agents/skills/anthropics-applying-brand-guidelines/validate_brand.py @@ -0,0 +1,325 @@ +#!/usr/bin/env python3 +""" +Brand Validation Script +Validates content against brand guidelines including colors, fonts, tone, and messaging. +""" + +import json +import re +from dataclasses import asdict, dataclass + + +@dataclass +class BrandGuidelines: + """Brand guidelines configuration""" + + brand_name: str + primary_colors: list[str] + secondary_colors: list[str] + fonts: list[str] + tone_keywords: list[str] + prohibited_words: list[str] + tagline: str | None = None + logo_usage_rules: dict | None = None + + +@dataclass +class ValidationResult: + """Result of brand validation""" + + passed: bool + score: float + violations: list[str] + warnings: list[str] + suggestions: list[str] + + +class BrandValidator: + """Validates content against brand guidelines""" + + def __init__(self, guidelines: BrandGuidelines): + self.guidelines = guidelines + + def validate_colors(self, content: str) -> tuple[list[str], list[str]]: + """ + Validate color usage in content (hex codes, RGB, color names) + Returns: (violations, warnings) + """ + violations = [] + warnings = [] + + # Find hex colors + hex_pattern = r"#[0-9A-Fa-f]{6}|#[0-9A-Fa-f]{3}" + found_colors = re.findall(hex_pattern, content) + + # Find RGB colors + rgb_pattern = r"rgb\s*\(\s*\d{1,3}\s*,\s*\d{1,3}\s*,\s*\d{1,3}\s*\)" + found_colors.extend(re.findall(rgb_pattern, content, re.IGNORECASE)) + + approved_colors = self.guidelines.primary_colors + self.guidelines.secondary_colors + + for color in found_colors: + if color.upper() not in [c.upper() for c in approved_colors]: + violations.append(f"Unapproved color used: {color}") + + return violations, warnings + + def validate_fonts(self, content: str) -> tuple[list[str], list[str]]: + """ + Validate font usage in content + Returns: (violations, warnings) + """ + violations = [] + warnings = [] + + # Common font specification patterns + font_patterns = [ + r'font-family\s*:\s*["\']?([^;"\']+)["\']?', + r"font:\s*[^;]*\s+([A-Za-z][A-Za-z\s]+)(?:,|;|\s+\d)", + ] + + found_fonts = [] + for pattern in font_patterns: + matches = re.findall(pattern, content, re.IGNORECASE) + found_fonts.extend(matches) + + for font in found_fonts: + font_clean = font.strip().lower() + # Check if any approved font is in the found font string + if not any(approved.lower() in font_clean for approved in self.guidelines.fonts): + violations.append(f"Unapproved font used: {font}") + + return violations, warnings + + def validate_tone(self, content: str) -> tuple[list[str], list[str]]: + """ + Validate tone and messaging + Returns: (violations, warnings) + """ + violations = [] + warnings = [] + + # Check for prohibited words + content_lower = content.lower() + for word in self.guidelines.prohibited_words: + if word.lower() in content_lower: + violations.append(f"Prohibited word/phrase used: '{word}'") + + # Check for tone keywords (should have at least some) + tone_matches = sum( + 1 for keyword in self.guidelines.tone_keywords if keyword.lower() in content_lower + ) + + if tone_matches == 0 and len(content) > 100: + warnings.append( + f"Content may not align with brand tone. " + f"Consider using terms like: {', '.join(self.guidelines.tone_keywords[:5])}" + ) + + return violations, warnings + + def validate_brand_name(self, content: str) -> tuple[list[str], list[str]]: + """ + Validate brand name usage and capitalization + Returns: (violations, warnings) + """ + violations = [] + warnings = [] + + # Find all variations of the brand name + brand_pattern = re.compile(re.escape(self.guidelines.brand_name), re.IGNORECASE) + matches = brand_pattern.findall(content) + + for match in matches: + if match != self.guidelines.brand_name: + violations.append( + f"Incorrect brand name capitalization: '{match}' " + f"should be '{self.guidelines.brand_name}'" + ) + + return violations, warnings + + def calculate_score(self, violations: list[str], warnings: list[str]) -> float: + """Calculate compliance score (0-100)""" + violation_penalty = len(violations) * 10 + warning_penalty = len(warnings) * 3 + + score = max(0, 100 - violation_penalty - warning_penalty) + return round(score, 2) + + def generate_suggestions(self, violations: list[str], warnings: list[str]) -> list[str]: + """Generate helpful suggestions based on violations and warnings""" + suggestions = [] + + if any("color" in v.lower() for v in violations): + suggestions.append( + f"Use approved colors: Primary: {', '.join(self.guidelines.primary_colors[:3])}" + ) + + if any("font" in v.lower() for v in violations): + suggestions.append(f"Use approved fonts: {', '.join(self.guidelines.fonts)}") + + if any("tone" in w.lower() for w in warnings): + suggestions.append( + f"Incorporate brand tone keywords: {', '.join(self.guidelines.tone_keywords[:5])}" + ) + + if any("brand name" in v.lower() for v in violations): + suggestions.append(f"Always capitalize brand name as: {self.guidelines.brand_name}") + + return suggestions + + def validate(self, content: str) -> ValidationResult: + """ + Perform complete brand validation + Returns: ValidationResult + """ + all_violations = [] + all_warnings = [] + + # Run all validation checks + color_v, color_w = self.validate_colors(content) + all_violations.extend(color_v) + all_warnings.extend(color_w) + + font_v, font_w = self.validate_fonts(content) + all_violations.extend(font_v) + all_warnings.extend(font_w) + + tone_v, tone_w = self.validate_tone(content) + all_violations.extend(tone_v) + all_warnings.extend(tone_w) + + brand_v, brand_w = self.validate_brand_name(content) + all_violations.extend(brand_v) + all_warnings.extend(brand_w) + + # Calculate score and generate suggestions + score = self.calculate_score(all_violations, all_warnings) + suggestions = self.generate_suggestions(all_violations, all_warnings) + + return ValidationResult( + passed=len(all_violations) == 0, + score=score, + violations=all_violations, + warnings=all_warnings, + suggestions=suggestions, + ) + + +def load_guidelines_from_json(filepath: str) -> BrandGuidelines: + """ + Load brand guidelines from JSON file + + Args: + filepath: Path to JSON file containing brand guidelines + + Returns: + BrandGuidelines object + + Raises: + FileNotFoundError: If the file doesn't exist + json.JSONDecodeError: If the file contains invalid JSON + TypeError: If required fields are missing + """ + try: + with open(filepath) as f: + data = json.load(f) + return BrandGuidelines(**data) + except FileNotFoundError as e: + raise FileNotFoundError(f"Brand guidelines file not found: {filepath}") from e + except json.JSONDecodeError as e: + raise json.JSONDecodeError( + f"Invalid JSON in brand guidelines file: {e.msg}", e.doc, e.pos + ) from e + except TypeError as e: + raise TypeError(f"Missing required fields in brand guidelines: {e}") from e + + +def get_acme_corporation_guidelines() -> BrandGuidelines: + """ + Get default Acme Corporation brand guidelines. + + These guidelines match the standards defined in the SKILL.md reference. + Users should customize these for their own organization. + + Returns: + BrandGuidelines object with Acme Corporation standards + """ + return BrandGuidelines( + brand_name="Acme Corporation", + primary_colors=["#0066CC", "#003366", "#FFFFFF"], # Acme Blue, Acme Navy, White + secondary_colors=[ + "#28A745", + "#FFC107", + "#DC3545", + "#6C757D", + "#F8F9FA", + ], # Success Green, Warning Amber, Error Red, Neutral Gray, Light Gray + fonts=["Segoe UI", "system-ui", "-apple-system", "sans-serif"], + tone_keywords=[ + "innovation", + "excellence", + "professional", + "solutions", + "trusted", + "reliable", + ], + prohibited_words=["cheap", "outdated", "inferior", "unprofessional", "sloppy"], + tagline="Innovation Through Excellence", + ) + + +def main(): + """Example usage demonstrating brand validation""" + # Load Acme Corporation brand guidelines + # Users should customize this for their own organization + guidelines = get_acme_corporation_guidelines() + + # Example content to validate (intentionally contains violations for demonstration) + test_content = """ + Welcome to acme corporation! + + We are a cheap solution provider with outdated technology. + + Our innovation and excellence in professional solutions are trusted by many. + + Contact us at: font-family: 'Comic Sans MS' + Color scheme: #FF0000 + Background: rgb(255, 0, 0) + """ + + # Validate + validator = BrandValidator(guidelines) + result = validator.validate(test_content) + + # Print results + print("=" * 60) + print("BRAND VALIDATION REPORT") + print("=" * 60) + print(f"\nOverall Status: {'✓ PASSED' if result.passed else '✗ FAILED'}") + print(f"Compliance Score: {result.score}/100") + + if result.violations: + print(f"\n❌ VIOLATIONS ({len(result.violations)}):") + for i, violation in enumerate(result.violations, 1): + print(f" {i}. {violation}") + + if result.warnings: + print(f"\n⚠️ WARNINGS ({len(result.warnings)}):") + for i, warning in enumerate(result.warnings, 1): + print(f" {i}. {warning}") + + if result.suggestions: + print("\n💡 SUGGESTIONS:") + for i, suggestion in enumerate(result.suggestions, 1): + print(f" {i}. {suggestion}") + + print("\n" + "=" * 60) + + # Return JSON for programmatic use + return asdict(result) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-frontend-design/SKILL.md b/.agents/skills/anthropics-frontend-design/SKILL.md new file mode 100644 index 0000000..69d510f --- /dev/null +++ b/.agents/skills/anthropics-frontend-design/SKILL.md @@ -0,0 +1,45 @@ +--- +name: anthropics-frontend-design +description: Create distinctive, production-grade frontend interfaces with high + design quality. Use this skill when the user asks to build web components, + pages, or applications. Generates creative, polished code that avoids generic + AI aesthetics. +license: Complete terms in LICENSE.txt +--- + +This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. + +The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. + +## Design Thinking + +Before coding, understand the context and commit to a BOLD aesthetic direction: +- **Purpose**: What problem does this interface solve? Who uses it? +- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction. +- **Constraints**: Technical requirements (framework, performance, accessibility). +- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember? + +**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity. + +Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is: +- Production-grade and functional +- Visually striking and memorable +- Cohesive with a clear aesthetic point-of-view +- Meticulously refined in every detail + +## Frontend Aesthetics Guidelines + +Focus on: +- **Typography**: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font. +- **Color & Theme**: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes. +- **Motion**: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise. +- **Spatial Composition**: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density. +- **Backgrounds & Visual Details**: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays. + +NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character. + +Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations. + +**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well. + +Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision. \ No newline at end of file diff --git a/.agents/skills/anthropics-mcp-integration/SKILL.md b/.agents/skills/anthropics-mcp-integration/SKILL.md new file mode 100644 index 0000000..6a82b83 --- /dev/null +++ b/.agents/skills/anthropics-mcp-integration/SKILL.md @@ -0,0 +1,559 @@ +--- +name: anthropics-mcp-integration +description: This skill should be used when the user asks to "add MCP server", + "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model + Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} + with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). + Provides comprehensive guidance for integrating Model Context Protocol servers + into Claude Code plugins for external tool and service integration. +version: 0.1.0 +--- + +# MCP Integration for Claude Code Plugins + +## Overview + +Model Context Protocol (MCP) enables Claude Code plugins to integrate with external services and APIs by providing structured tool access. Use MCP integration to expose external service capabilities as tools within Claude Code. + +**Key capabilities:** +- Connect to external services (databases, APIs, file systems) +- Provide 10+ related tools from a single service +- Handle OAuth and complex authentication flows +- Bundle MCP servers with plugins for automatic setup + +## MCP Server Configuration Methods + +Plugins can bundle MCP servers in two ways: + +### Method 1: Dedicated .mcp.json (Recommended) + +Create `.mcp.json` at plugin root: + +```json +{ + "database-tools": { + "command": "${CLAUDE_PLUGIN_ROOT}/servers/db-server", + "args": ["--config", "${CLAUDE_PLUGIN_ROOT}/config.json"], + "env": { + "DB_URL": "${DB_URL}" + } + } +} +``` + +**Benefits:** +- Clear separation of concerns +- Easier to maintain +- Better for multiple servers + +### Method 2: Inline in plugin.json + +Add `mcpServers` field to plugin.json: + +```json +{ + "name": "my-plugin", + "version": "1.0.0", + "mcpServers": { + "plugin-api": { + "command": "${CLAUDE_PLUGIN_ROOT}/servers/api-server", + "args": ["--port", "8080"] + } + } +} +``` + +**Benefits:** +- Single configuration file +- Good for simple single-server plugins + +## MCP Server Types + +### stdio (Local Process) + +Execute local MCP servers as child processes. Best for local tools and custom servers. + +**Configuration:** +```json +{ + "filesystem": { + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", "/allowed/path"], + "env": { + "LOG_LEVEL": "debug" + } + } +} +``` + +**Use cases:** +- File system access +- Local database connections +- Custom MCP servers +- NPM-packaged MCP servers + +**Process management:** +- Claude Code spawns and manages the process +- Communicates via stdin/stdout +- Terminates when Claude Code exits + +### SSE (Server-Sent Events) + +Connect to hosted MCP servers with OAuth support. Best for cloud services. + +**Configuration:** +```json +{ + "asana": { + "type": "sse", + "url": "https://mcp.asana.com/sse" + } +} +``` + +**Use cases:** +- Official hosted MCP servers (Asana, GitHub, etc.) +- Cloud services with MCP endpoints +- OAuth-based authentication +- No local installation needed + +**Authentication:** +- OAuth flows handled automatically +- User prompted on first use +- Tokens managed by Claude Code + +### HTTP (REST API) + +Connect to RESTful MCP servers with token authentication. + +**Configuration:** +```json +{ + "api-service": { + "type": "http", + "url": "https://api.example.com/mcp", + "headers": { + "Authorization": "Bearer ${API_TOKEN}", + "X-Custom-Header": "value" + } + } +} +``` + +**Use cases:** +- REST API-based MCP servers +- Token-based authentication +- Custom API backends +- Stateless interactions + +### WebSocket (Real-time) + +Connect to WebSocket MCP servers for real-time bidirectional communication. + +**Configuration:** +```json +{ + "realtime-service": { + "type": "ws", + "url": "wss://mcp.example.com/ws", + "headers": { + "Authorization": "Bearer ${TOKEN}" + } + } +} +``` + +**Use cases:** +- Real-time data streaming +- Persistent connections +- Push notifications from server +- Low-latency requirements + +## Environment Variable Expansion + +All MCP configurations support environment variable substitution: + +**${CLAUDE_PLUGIN_ROOT}** - Plugin directory (always use for portability): +```json +{ + "command": "${CLAUDE_PLUGIN_ROOT}/servers/my-server" +} +``` + +**User environment variables** - From user's shell: +```json +{ + "env": { + "API_KEY": "${MY_API_KEY}", + "DATABASE_URL": "${DB_URL}" + } +} +``` + +**Best practice:** Document all required environment variables in plugin README. + +## MCP Tool Naming + +When MCP servers provide tools, they're automatically prefixed: + +**Format:** `mcp__plugin____` + +**Example:** +- Plugin: `asana` +- Server: `asana` +- Tool: `create_task` +- **Full name:** `mcp__plugin_asana_asana__asana_create_task` + +### Using MCP Tools in Commands + +Pre-allow specific MCP tools in command frontmatter: + +```markdown +--- +allowed-tools: [ + "mcp__plugin_asana_asana__asana_create_task", + "mcp__plugin_asana_asana__asana_search_tasks" +] +--- +``` + +**Wildcard (use sparingly):** +```markdown +--- +allowed-tools: ["mcp__plugin_asana_asana__*"] +--- +``` + +**Best practice:** Pre-allow specific tools, not wildcards, for security. + +## Lifecycle Management + +**Automatic startup:** +- MCP servers start when plugin enables +- Connection established before first tool use +- Restart required for configuration changes + +**Lifecycle:** +1. Plugin loads +2. MCP configuration parsed +3. Server process started (stdio) or connection established (SSE/HTTP/WS) +4. Tools discovered and registered +5. Tools available as `mcp__plugin_...__...` + +**Viewing servers:** +Use `/mcp` command to see all servers including plugin-provided ones. + +## Authentication Patterns + +### OAuth (SSE/HTTP) + +OAuth handled automatically by Claude Code: + +```json +{ + "type": "sse", + "url": "https://mcp.example.com/sse" +} +``` + +User authenticates in browser on first use. No additional configuration needed. + +### Token-Based (Headers) + +Static or environment variable tokens: + +```json +{ + "type": "http", + "url": "https://api.example.com", + "headers": { + "Authorization": "Bearer ${API_TOKEN}" + } +} +``` + +Document required environment variables in README. + +### Environment Variables (stdio) + +Pass configuration to MCP server: + +```json +{ + "command": "python", + "args": ["-m", "my_mcp_server"], + "env": { + "DATABASE_URL": "${DB_URL}", + "API_KEY": "${API_KEY}", + "LOG_LEVEL": "info" + } +} +``` + +## Integration Patterns + +### Pattern 1: Simple Tool Wrapper + +Commands use MCP tools with user interaction: + +```markdown +# Command: create-item.md +--- +allowed-tools: ["mcp__plugin_name_server__create_item"] +--- + +Steps: +1. Gather item details from user +2. Use mcp__plugin_name_server__create_item +3. Confirm creation +``` + +**Use for:** Adding validation or preprocessing before MCP calls. + +### Pattern 2: Autonomous Agent + +Agents use MCP tools autonomously: + +```markdown +# Agent: data-analyzer.md + +Analysis Process: +1. Query data via mcp__plugin_db_server__query +2. Process and analyze results +3. Generate insights report +``` + +**Use for:** Multi-step MCP workflows without user interaction. + +### Pattern 3: Multi-Server Plugin + +Integrate multiple MCP servers: + +```json +{ + "github": { + "type": "sse", + "url": "https://mcp.github.com/sse" + }, + "jira": { + "type": "sse", + "url": "https://mcp.jira.com/sse" + } +} +``` + +**Use for:** Workflows spanning multiple services. + +## Security Best Practices + +### Use HTTPS/WSS + +Always use secure connections: + +```json +✅ "url": "https://mcp.example.com/sse" +❌ "url": "http://mcp.example.com/sse" +``` + +### Token Management + +**DO:** +- ✅ Use environment variables for tokens +- ✅ Document required env vars in README +- ✅ Let OAuth flow handle authentication + +**DON'T:** +- ❌ Hardcode tokens in configuration +- ❌ Commit tokens to git +- ❌ Share tokens in documentation + +### Permission Scoping + +Pre-allow only necessary MCP tools: + +```markdown +✅ allowed-tools: [ + "mcp__plugin_api_server__read_data", + "mcp__plugin_api_server__create_item" +] + +❌ allowed-tools: ["mcp__plugin_api_server__*"] +``` + +## Error Handling + +### Connection Failures + +Handle MCP server unavailability: +- Provide fallback behavior in commands +- Inform user of connection issues +- Check server URL and configuration + +### Tool Call Errors + +Handle failed MCP operations: +- Validate inputs before calling MCP tools +- Provide clear error messages +- Check rate limiting and quotas + +### Configuration Errors + +Validate MCP configuration: +- Test server connectivity during development +- Validate JSON syntax +- Check required environment variables + +## Performance Considerations + +### Lazy Loading + +MCP servers connect on-demand: +- Not all servers connect at startup +- First tool use triggers connection +- Connection pooling managed automatically + +### Batching + +Batch similar requests when possible: + +``` +# Good: Single query with filters +tasks = search_tasks(project="X", assignee="me", limit=50) + +# Avoid: Many individual queries +for id in task_ids: + task = get_task(id) +``` + +## Testing MCP Integration + +### Local Testing + +1. Configure MCP server in `.mcp.json` +2. Install plugin locally (`.claude-plugin/`) +3. Run `/mcp` to verify server appears +4. Test tool calls in commands +5. Check `claude --debug` logs for connection issues + +### Validation Checklist + +- [ ] MCP configuration is valid JSON +- [ ] Server URL is correct and accessible +- [ ] Required environment variables documented +- [ ] Tools appear in `/mcp` output +- [ ] Authentication works (OAuth or tokens) +- [ ] Tool calls succeed from commands +- [ ] Error cases handled gracefully + +## Debugging + +### Enable Debug Logging + +```bash +claude --debug +``` + +Look for: +- MCP server connection attempts +- Tool discovery logs +- Authentication flows +- Tool call errors + +### Common Issues + +**Server not connecting:** +- Check URL is correct +- Verify server is running (stdio) +- Check network connectivity +- Review authentication configuration + +**Tools not available:** +- Verify server connected successfully +- Check tool names match exactly +- Run `/mcp` to see available tools +- Restart Claude Code after config changes + +**Authentication failing:** +- Clear cached auth tokens +- Re-authenticate +- Check token scopes and permissions +- Verify environment variables set + +## Quick Reference + +### MCP Server Types + +| Type | Transport | Best For | Auth | +|------|-----------|----------|------| +| stdio | Process | Local tools, custom servers | Env vars | +| SSE | HTTP | Hosted services, cloud APIs | OAuth | +| HTTP | REST | API backends, token auth | Tokens | +| ws | WebSocket | Real-time, streaming | Tokens | + +### Configuration Checklist + +- [ ] Server type specified (stdio/SSE/HTTP/ws) +- [ ] Type-specific fields complete (command or url) +- [ ] Authentication configured +- [ ] Environment variables documented +- [ ] HTTPS/WSS used (not HTTP/WS) +- [ ] ${CLAUDE_PLUGIN_ROOT} used for paths + +### Best Practices + +**DO:** +- ✅ Use ${CLAUDE_PLUGIN_ROOT} for portable paths +- ✅ Document required environment variables +- ✅ Use secure connections (HTTPS/WSS) +- ✅ Pre-allow specific MCP tools in commands +- ✅ Test MCP integration before publishing +- ✅ Handle connection and tool errors gracefully + +**DON'T:** +- ❌ Hardcode absolute paths +- ❌ Commit credentials to git +- ❌ Use HTTP instead of HTTPS +- ❌ Pre-allow all tools with wildcards +- ❌ Skip error handling +- ❌ Forget to document setup + +## Additional Resources + +### Reference Files + +For detailed information, consult: + +- **`references/server-types.md`** - Deep dive on each server type +- **`references/authentication.md`** - Authentication patterns and OAuth +- **`references/tool-usage.md`** - Using MCP tools in commands and agents + +### Example Configurations + +Working examples in `examples/`: + +- **`stdio-server.json`** - Local stdio MCP server +- **`sse-server.json`** - Hosted SSE server with OAuth +- **`http-server.json`** - REST API with token auth + +### External Resources + +- **Official MCP Docs**: https://modelcontextprotocol.io/ +- **Claude Code MCP Docs**: https://docs.claude.com/en/docs/claude-code/mcp +- **MCP SDK**: @modelcontextprotocol/sdk +- **Testing**: Use `claude --debug` and `/mcp` command + +## Implementation Workflow + +To add MCP integration to a plugin: + +1. Choose MCP server type (stdio, SSE, HTTP, ws) +2. Create `.mcp.json` at plugin root with configuration +3. Use ${CLAUDE_PLUGIN_ROOT} for all file references +4. Document required environment variables in README +5. Test locally with `/mcp` command +6. Pre-allow MCP tools in relevant commands +7. Handle authentication (OAuth or tokens) +8. Test error cases (connection failures, auth errors) +9. Document MCP integration in plugin README + +Focus on stdio for custom/local servers, SSE for hosted services with OAuth. diff --git a/.agents/skills/anthropics-mcp-integration/examples/http-server.json b/.agents/skills/anthropics-mcp-integration/examples/http-server.json new file mode 100644 index 0000000..e96448f --- /dev/null +++ b/.agents/skills/anthropics-mcp-integration/examples/http-server.json @@ -0,0 +1,20 @@ +{ + "_comment": "Example HTTP MCP server configuration for REST APIs", + "rest-api": { + "type": "http", + "url": "https://api.example.com/mcp", + "headers": { + "Authorization": "Bearer ${API_TOKEN}", + "Content-Type": "application/json", + "X-API-Version": "2024-01-01" + } + }, + "internal-service": { + "type": "http", + "url": "https://api.example.com/mcp", + "headers": { + "Authorization": "Bearer ${API_TOKEN}", + "X-Service-Name": "claude-plugin" + } + } +} diff --git a/.agents/skills/anthropics-mcp-integration/examples/sse-server.json b/.agents/skills/anthropics-mcp-integration/examples/sse-server.json new file mode 100644 index 0000000..e6ec71c --- /dev/null +++ b/.agents/skills/anthropics-mcp-integration/examples/sse-server.json @@ -0,0 +1,19 @@ +{ + "_comment": "Example SSE MCP server configuration for hosted cloud services", + "asana": { + "type": "sse", + "url": "https://mcp.asana.com/sse" + }, + "github": { + "type": "sse", + "url": "https://mcp.github.com/sse" + }, + "custom-service": { + "type": "sse", + "url": "https://mcp.example.com/sse", + "headers": { + "X-API-Version": "v1", + "X-Client-ID": "${CLIENT_ID}" + } + } +} diff --git a/.agents/skills/anthropics-mcp-integration/examples/stdio-server.json b/.agents/skills/anthropics-mcp-integration/examples/stdio-server.json new file mode 100644 index 0000000..60af1c6 --- /dev/null +++ b/.agents/skills/anthropics-mcp-integration/examples/stdio-server.json @@ -0,0 +1,26 @@ +{ + "_comment": "Example stdio MCP server configuration for local file system access", + "filesystem": { + "command": "npx", + "args": ["-y", "@modelcontextprotocol/server-filesystem", "${CLAUDE_PROJECT_DIR}"], + "env": { + "LOG_LEVEL": "info" + } + }, + "database": { + "command": "${CLAUDE_PLUGIN_ROOT}/servers/db-server.js", + "args": ["--config", "${CLAUDE_PLUGIN_ROOT}/config/db.json"], + "env": { + "DATABASE_URL": "${DATABASE_URL}", + "DB_POOL_SIZE": "10" + } + }, + "custom-tools": { + "command": "python", + "args": ["-m", "my_mcp_server", "--port", "8080"], + "env": { + "API_KEY": "${CUSTOM_API_KEY}", + "DEBUG": "false" + } + } +} diff --git a/.agents/skills/anthropics-mcp-integration/references/authentication.md b/.agents/skills/anthropics-mcp-integration/references/authentication.md new file mode 100644 index 0000000..1d4ff38 --- /dev/null +++ b/.agents/skills/anthropics-mcp-integration/references/authentication.md @@ -0,0 +1,549 @@ +# MCP Authentication Patterns + +Complete guide to authentication methods for MCP servers in Claude Code plugins. + +## Overview + +MCP servers support multiple authentication methods depending on the server type and service requirements. Choose the method that best matches your use case and security requirements. + +## OAuth (Automatic) + +### How It Works + +Claude Code automatically handles the complete OAuth 2.0 flow for SSE and HTTP servers: + +1. User attempts to use MCP tool +2. Claude Code detects authentication needed +3. Opens browser for OAuth consent +4. User authorizes in browser +5. Tokens stored securely by Claude Code +6. Automatic token refresh + +### Configuration + +```json +{ + "service": { + "type": "sse", + "url": "https://mcp.example.com/sse" + } +} +``` + +No additional auth configuration needed! Claude Code handles everything. + +### Supported Services + +**Known OAuth-enabled MCP servers:** +- Asana: `https://mcp.asana.com/sse` +- GitHub (when available) +- Google services (when available) +- Custom OAuth servers + +### OAuth Scopes + +OAuth scopes are determined by the MCP server. Users see required scopes during the consent flow. + +**Document required scopes in your README:** +```markdown +## Authentication + +This plugin requires the following Asana permissions: +- Read tasks and projects +- Create and update tasks +- Access workspace data +``` + +### Token Storage + +Tokens are stored securely by Claude Code: +- Not accessible to plugins +- Encrypted at rest +- Automatic refresh +- Cleared on sign-out + +### Troubleshooting OAuth + +**Authentication loop:** +- Clear cached tokens (sign out and sign in) +- Check OAuth redirect URLs +- Verify server OAuth configuration + +**Scope issues:** +- User may need to re-authorize for new scopes +- Check server documentation for required scopes + +**Token expiration:** +- Claude Code auto-refreshes +- If refresh fails, prompts re-authentication + +## Token-Based Authentication + +### Bearer Tokens + +Most common for HTTP and WebSocket servers. + +**Configuration:** +```json +{ + "api": { + "type": "http", + "url": "https://api.example.com/mcp", + "headers": { + "Authorization": "Bearer ${API_TOKEN}" + } + } +} +``` + +**Environment variable:** +```bash +export API_TOKEN="your-secret-token-here" +``` + +### API Keys + +Alternative to Bearer tokens, often in custom headers. + +**Configuration:** +```json +{ + "api": { + "type": "http", + "url": "https://api.example.com/mcp", + "headers": { + "X-API-Key": "${API_KEY}", + "X-API-Secret": "${API_SECRET}" + } + } +} +``` + +### Custom Headers + +Services may use custom authentication headers. + +**Configuration:** +```json +{ + "service": { + "type": "sse", + "url": "https://mcp.example.com/sse", + "headers": { + "X-Auth-Token": "${AUTH_TOKEN}", + "X-User-ID": "${USER_ID}", + "X-Tenant-ID": "${TENANT_ID}" + } + } +} +``` + +### Documenting Token Requirements + +Always document in your README: + +```markdown +## Setup + +### Required Environment Variables + +Set these environment variables before using the plugin: + +\`\`\`bash +export API_TOKEN="your-token-here" +export API_SECRET="your-secret-here" +\`\`\` + +### Obtaining Tokens + +1. Visit https://api.example.com/tokens +2. Create a new API token +3. Copy the token and secret +4. Set environment variables as shown above + +### Token Permissions + +The API token needs the following permissions: +- Read access to resources +- Write access for creating items +- Delete access (optional, for cleanup operations) +\`\`\` +``` + +## Environment Variable Authentication (stdio) + +### Passing Credentials to Server + +For stdio servers, pass credentials via environment variables: + +```json +{ + "database": { + "command": "python", + "args": ["-m", "mcp_server_db"], + "env": { + "DATABASE_URL": "${DATABASE_URL}", + "DB_USER": "${DB_USER}", + "DB_PASSWORD": "${DB_PASSWORD}" + } + } +} +``` + +### User Environment Variables + +```bash +# User sets these in their shell +export DATABASE_URL="postgresql://localhost/mydb" +export DB_USER="myuser" +export DB_PASSWORD="mypassword" +``` + +### Documentation Template + +```markdown +## Database Configuration + +Set these environment variables: + +\`\`\`bash +export DATABASE_URL="postgresql://host:port/database" +export DB_USER="username" +export DB_PASSWORD="password" +\`\`\` + +Or create a `.env` file (add to `.gitignore`): + +\`\`\` +DATABASE_URL=postgresql://localhost:5432/mydb +DB_USER=myuser +DB_PASSWORD=mypassword +\`\`\` + +Load with: \`source .env\` or \`export $(cat .env | xargs)\` +\`\`\` +``` + +## Dynamic Headers + +### Headers Helper Script + +For tokens that change or expire, use a helper script: + +```json +{ + "api": { + "type": "sse", + "url": "https://api.example.com", + "headersHelper": "${CLAUDE_PLUGIN_ROOT}/scripts/get-headers.sh" + } +} +``` + +**Script (get-headers.sh):** +```bash +#!/bin/bash +# Generate dynamic authentication headers + +# Fetch fresh token +TOKEN=$(get-fresh-token-from-somewhere) + +# Output JSON headers +cat <___`. Use these tools in commands and agents just like built-in Claude Code tools. + +## Tool Naming Convention + +### Format + +``` +mcp__plugin____ +``` + +### Examples + +**Asana plugin with asana server:** +- `mcp__plugin_asana_asana__asana_create_task` +- `mcp__plugin_asana_asana__asana_search_tasks` +- `mcp__plugin_asana_asana__asana_get_project` + +**Custom plugin with database server:** +- `mcp__plugin_myplug_database__query` +- `mcp__plugin_myplug_database__execute` +- `mcp__plugin_myplug_database__list_tables` + +### Discovering Tool Names + +**Use `/mcp` command:** +```bash +/mcp +``` + +This shows: +- All available MCP servers +- Tools provided by each server +- Tool schemas and descriptions +- Full tool names for use in configuration + +## Using Tools in Commands + +### Pre-Allowing Tools + +Specify MCP tools in command frontmatter: + +```markdown +--- +description: Create a new Asana task +allowed-tools: [ + "mcp__plugin_asana_asana__asana_create_task" +] +--- + +# Create Task Command + +To create a task: +1. Gather task details from user +2. Use mcp__plugin_asana_asana__asana_create_task with the details +3. Confirm creation to user +``` + +### Multiple Tools + +```markdown +--- +allowed-tools: [ + "mcp__plugin_asana_asana__asana_create_task", + "mcp__plugin_asana_asana__asana_search_tasks", + "mcp__plugin_asana_asana__asana_get_project" +] +--- +``` + +### Wildcard (Use Sparingly) + +```markdown +--- +allowed-tools: ["mcp__plugin_asana_asana__*"] +--- +``` + +**Caution:** Only use wildcards if the command truly needs access to all tools from a server. + +### Tool Usage in Command Instructions + +**Example command:** +```markdown +--- +description: Search and create Asana tasks +allowed-tools: [ + "mcp__plugin_asana_asana__asana_search_tasks", + "mcp__plugin_asana_asana__asana_create_task" +] +--- + +# Asana Task Management + +## Searching Tasks + +To search for tasks: +1. Use mcp__plugin_asana_asana__asana_search_tasks +2. Provide search filters (assignee, project, etc.) +3. Display results to user + +## Creating Tasks + +To create a task: +1. Gather task details: + - Title (required) + - Description + - Project + - Assignee + - Due date +2. Use mcp__plugin_asana_asana__asana_create_task +3. Show confirmation with task link +``` + +## Using Tools in Agents + +### Agent Configuration + +Agents can use MCP tools autonomously without pre-allowing them: + +```markdown +--- +name: asana-status-updater +description: This agent should be used when the user asks to "update Asana status", "generate project report", or "sync Asana tasks" +model: inherit +color: blue +--- + +## Role + +Autonomous agent for generating Asana project status reports. + +## Process + +1. **Query tasks**: Use mcp__plugin_asana_asana__asana_search_tasks to get all tasks +2. **Analyze progress**: Calculate completion rates and identify blockers +3. **Generate report**: Create formatted status update +4. **Update Asana**: Use mcp__plugin_asana_asana__asana_create_comment to post report + +## Available Tools + +The agent has access to all Asana MCP tools without pre-approval. +``` + +### Agent Tool Access + +Agents have broader tool access than commands: +- Can use any tool Claude determines is necessary +- Don't need pre-allowed lists +- Should document which tools they typically use + +## Tool Call Patterns + +### Pattern 1: Simple Tool Call + +Single tool call with validation: + +```markdown +Steps: +1. Validate user provided required fields +2. Call mcp__plugin_api_server__create_item with validated data +3. Check for errors +4. Display confirmation +``` + +### Pattern 2: Sequential Tools + +Chain multiple tool calls: + +```markdown +Steps: +1. Search for existing items: mcp__plugin_api_server__search +2. If not found, create new: mcp__plugin_api_server__create +3. Add metadata: mcp__plugin_api_server__update_metadata +4. Return final item ID +``` + +### Pattern 3: Batch Operations + +Multiple calls with same tool: + +```markdown +Steps: +1. Get list of items to process +2. For each item: + - Call mcp__plugin_api_server__update_item + - Track success/failure +3. Report results summary +``` + +### Pattern 4: Error Handling + +Graceful error handling: + +```markdown +Steps: +1. Try to call mcp__plugin_api_server__get_data +2. If error (rate limit, network, etc.): + - Wait and retry (max 3 attempts) + - If still failing, inform user + - Suggest checking configuration +3. On success, process data +``` + +## Tool Parameters + +### Understanding Tool Schemas + +Each MCP tool has a schema defining its parameters. View with `/mcp`. + +**Example schema:** +```json +{ + "name": "asana_create_task", + "description": "Create a new Asana task", + "inputSchema": { + "type": "object", + "properties": { + "name": { + "type": "string", + "description": "Task title" + }, + "notes": { + "type": "string", + "description": "Task description" + }, + "workspace": { + "type": "string", + "description": "Workspace GID" + } + }, + "required": ["name", "workspace"] + } +} +``` + +### Calling Tools with Parameters + +Claude automatically structures tool calls based on schema: + +```typescript +// Claude generates this internally +{ + toolName: "mcp__plugin_asana_asana__asana_create_task", + input: { + name: "Review PR #123", + notes: "Code review for new feature", + workspace: "12345", + assignee: "67890", + due_on: "2025-01-15" + } +} +``` + +### Parameter Validation + +**In commands, validate before calling:** + +```markdown +Steps: +1. Check required parameters: + - Title is not empty + - Workspace ID is provided + - Due date is valid format (YYYY-MM-DD) +2. If validation fails, ask user to provide missing data +3. If validation passes, call MCP tool +4. Handle tool errors gracefully +``` + +## Response Handling + +### Success Responses + +```markdown +Steps: +1. Call MCP tool +2. On success: + - Extract relevant data from response + - Format for user display + - Provide confirmation message + - Include relevant links or IDs +``` + +### Error Responses + +```markdown +Steps: +1. Call MCP tool +2. On error: + - Check error type (auth, rate limit, validation, etc.) + - Provide helpful error message + - Suggest remediation steps + - Don't expose internal error details to user +``` + +### Partial Success + +```markdown +Steps: +1. Batch operation with multiple MCP calls +2. Track successes and failures separately +3. Report summary: + - "Successfully processed 8 of 10 items" + - "Failed items: [item1, item2] due to [reason]" + - Suggest retry or manual intervention +``` + +## Performance Optimization + +### Batching Requests + +**Good: Single query with filters** +```markdown +Steps: +1. Call mcp__plugin_api_server__search with filters: + - project_id: "123" + - status: "active" + - limit: 100 +2. Process all results +``` + +**Avoid: Many individual queries** +```markdown +Steps: +1. For each item ID: + - Call mcp__plugin_api_server__get_item + - Process item +``` + +### Caching Results + +```markdown +Steps: +1. Call expensive MCP operation: mcp__plugin_api_server__analyze +2. Store results in variable for reuse +3. Use cached results for subsequent operations +4. Only re-fetch if data changes +``` + +### Parallel Tool Calls + +When tools don't depend on each other, call in parallel: + +```markdown +Steps: +1. Make parallel calls (Claude handles this automatically): + - mcp__plugin_api_server__get_project + - mcp__plugin_api_server__get_users + - mcp__plugin_api_server__get_tags +2. Wait for all to complete +3. Combine results +``` + +## Integration Best Practices + +### User Experience + +**Provide feedback:** +```markdown +Steps: +1. Inform user: "Searching Asana tasks..." +2. Call mcp__plugin_asana_asana__asana_search_tasks +3. Show progress: "Found 15 tasks, analyzing..." +4. Present results +``` + +**Handle long operations:** +```markdown +Steps: +1. Warn user: "This may take a minute..." +2. Break into smaller steps with updates +3. Show incremental progress +4. Final summary when complete +``` + +### Error Messages + +**Good error messages:** +``` +❌ "Could not create task. Please check: + 1. You're logged into Asana + 2. You have access to workspace 'Engineering' + 3. The project 'Q1 Goals' exists" +``` + +**Poor error messages:** +``` +❌ "Error: MCP tool returned 403" +``` + +### Documentation + +**Document MCP tool usage in command:** +```markdown +## MCP Tools Used + +This command uses the following Asana MCP tools: +- **asana_search_tasks**: Search for tasks matching criteria +- **asana_create_task**: Create new task with details +- **asana_update_task**: Update existing task properties + +Ensure you're authenticated to Asana before running this command. +``` + +## Testing Tool Usage + +### Local Testing + +1. **Configure MCP server** in `.mcp.json` +2. **Install plugin locally** in `.claude-plugin/` +3. **Verify tools available** with `/mcp` +4. **Test command** that uses tools +5. **Check debug output**: `claude --debug` + +### Test Scenarios + +**Test successful calls:** +```markdown +Steps: +1. Create test data in external service +2. Run command that queries this data +3. Verify correct results returned +``` + +**Test error cases:** +```markdown +Steps: +1. Test with missing authentication +2. Test with invalid parameters +3. Test with non-existent resources +4. Verify graceful error handling +``` + +**Test edge cases:** +```markdown +Steps: +1. Test with empty results +2. Test with maximum results +3. Test with special characters +4. Test with concurrent access +``` + +## Common Patterns + +### Pattern: CRUD Operations + +```markdown +--- +allowed-tools: [ + "mcp__plugin_api_server__create_item", + "mcp__plugin_api_server__read_item", + "mcp__plugin_api_server__update_item", + "mcp__plugin_api_server__delete_item" +] +--- + +# Item Management + +## Create +Use create_item with required fields... + +## Read +Use read_item with item ID... + +## Update +Use update_item with item ID and changes... + +## Delete +Use delete_item with item ID (ask for confirmation first)... +``` + +### Pattern: Search and Process + +```markdown +Steps: +1. **Search**: mcp__plugin_api_server__search with filters +2. **Filter**: Apply additional local filtering if needed +3. **Transform**: Process each result +4. **Present**: Format and display to user +``` + +### Pattern: Multi-Step Workflow + +```markdown +Steps: +1. **Setup**: Gather all required information +2. **Validate**: Check data completeness +3. **Execute**: Chain of MCP tool calls: + - Create parent resource + - Create child resources + - Link resources together + - Add metadata +4. **Verify**: Confirm all steps succeeded +5. **Report**: Provide summary to user +``` + +## Troubleshooting + +### Tools Not Available + +**Check:** +- MCP server configured correctly +- Server connected (check `/mcp`) +- Tool names match exactly (case-sensitive) +- Restart Claude Code after config changes + +### Tool Calls Failing + +**Check:** +- Authentication is valid +- Parameters match tool schema +- Required parameters provided +- Check `claude --debug` logs + +### Performance Issues + +**Check:** +- Batching queries instead of individual calls +- Caching results when appropriate +- Not making unnecessary tool calls +- Parallel calls when possible + +## Conclusion + +Effective MCP tool usage requires: +1. **Understanding tool schemas** via `/mcp` +2. **Pre-allowing tools** in commands appropriately +3. **Handling errors gracefully** +4. **Optimizing performance** with batching and caching +5. **Providing good UX** with feedback and clear errors +6. **Testing thoroughly** before deployment + +Follow these patterns for robust MCP tool integration in your plugin commands and agents. diff --git a/.agents/skills/anthropics-skill-creator/LICENSE.txt b/.agents/skills/anthropics-skill-creator/LICENSE.txt new file mode 100644 index 0000000..7a4a3ea --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/LICENSE.txt @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Use when users want to create a skill from scratch, update + or optimize an existing skill, run evals to test a skill, benchmark skill + performance with variance analysis, or optimize a skill's description for + better triggering accuracy. +--- + +# Skill Creator + +A skill for creating new skills and iteratively improving them. + +At a high level, the process of creating a skill goes like this: + +- Decide what you want the skill to do and roughly how it should do it +- Write a draft of the skill +- Create a few test prompts and run claude-with-access-to-the-skill on them +- Help the user evaluate the results both qualitatively and quantitatively + - While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you can either use as is or modify if you feel something needs to change about them). Then explain them to the user (or if they already existed, explain the ones that already exist) + - Use the `eval-viewer/generate_review.py` script to show the user the results for them to look at, and also let them look at the quantitative metrics +- Rewrite the skill based on feedback from the user's evaluation of the results (and also if there are any glaring flaws that become apparent from the quantitative benchmarks) +- Repeat until you're satisfied +- Expand the test set and try again at larger scale + +Your job when using this skill is to figure out where the user is in this process and then jump in and help them progress through these stages. So for instance, maybe they're like "I want to make a skill for X". You can help narrow down what they mean, write a draft, write the test cases, figure out how they want to evaluate, run all the prompts, and repeat. + +On the other hand, maybe they already have a draft of the skill. In this case you can go straight to the eval/iterate part of the loop. + +Of course, you should always be flexible and if the user is like "I don't need to run a bunch of evaluations, just vibe with me", you can do that instead. + +Then after the skill is done (but again, the order is flexible), you can also run the skill description improver, which we have a whole separate script for, to optimize the triggering of the skill. + +Cool? Cool. + +## Communicating with the user + +The skill creator is liable to be used by people across a wide range of familiarity with coding jargon. If you haven't heard (and how could you, it's only very recently that it started), there's a trend now where the power of Claude is inspiring plumbers to open up their terminals, parents and grandparents to google "how to install npm". On the other hand, the bulk of users are probably fairly computer-literate. + +So please pay attention to context cues to understand how to phrase your communication! In the default case, just to give you some idea: + +- "evaluation" and "benchmark" are borderline, but OK +- for "JSON" and "assertion" you want to see serious cues from the user that they know what those things are before using them without explaining them + +It's OK to briefly explain terms if you're in doubt, and feel free to clarify terms with a short definition if you're unsure if the user will get it. + +--- + +## Creating a skill + +### Capture Intent + +Start by understanding the user's intent. The current conversation might already contain a workflow the user wants to capture (e.g., they say "turn this into a skill"). If so, extract answers from the conversation history first — the tools used, the sequence of steps, corrections the user made, input/output formats observed. The user may need to fill the gaps, and should confirm before proceeding to the next step. + +1. What should this skill enable Claude to do? +2. When should this skill trigger? (what user phrases/contexts) +3. What's the expected output format? +4. Should we set up test cases to verify the skill works? Skills with objectively verifiable outputs (file transforms, data extraction, code generation, fixed workflow steps) benefit from test cases. Skills with subjective outputs (writing style, art) often don't need them. Suggest the appropriate default based on the skill type, but let the user decide. + +### Interview and Research + +Proactively ask questions about edge cases, input/output formats, example files, success criteria, and dependencies. Wait to write test prompts until you've got this part ironed out. + +Check available MCPs - if useful for research (searching docs, finding similar skills, looking up best practices), research in parallel via subagents if available, otherwise inline. Come prepared with context to reduce burden on the user. + +### Write the SKILL.md + +Based on the user interview, fill in these components: + +- **name**: Skill identifier +- **description**: When to trigger, what it does. This is the primary triggering mechanism - include both what the skill does AND specific contexts for when to use it. All "when to use" info goes here, not in the body. Note: currently Claude has a tendency to "undertrigger" skills -- to not use them when they'd be useful. To combat this, please make the skill descriptions a little bit "pushy". So for instance, instead of "How to build a simple fast dashboard to display internal Anthropic data.", you might write "How to build a simple fast dashboard to display internal Anthropic data. Make sure to use this skill whenever the user mentions dashboards, data visualization, internal metrics, or wants to display any kind of company data, even if they don't explicitly ask for a 'dashboard.'" +- **compatibility**: Required tools, dependencies (optional, rarely needed) +- **the rest of the skill :)** + +### Skill Writing Guide + +#### Anatomy of a Skill + +``` +skill-name/ +├── SKILL.md (required) +│ ├── YAML frontmatter (name, description required) +│ └── Markdown instructions +└── Bundled Resources (optional) + ├── scripts/ - Executable code for deterministic/repetitive tasks + ├── references/ - Docs loaded into context as needed + └── assets/ - Files used in output (templates, icons, fonts) +``` + +#### Progressive Disclosure + +Skills use a three-level loading system: +1. **Metadata** (name + description) - Always in context (~100 words) +2. **SKILL.md body** - In context whenever skill triggers (<500 lines ideal) +3. **Bundled resources** - As needed (unlimited, scripts can execute without loading) + +These word counts are approximate and you can feel free to go longer if needed. + +**Key patterns:** +- Keep SKILL.md under 500 lines; if you're approaching this limit, add an additional layer of hierarchy along with clear pointers about where the model using the skill should go next to follow up. +- Reference files clearly from SKILL.md with guidance on when to read them +- For large reference files (>300 lines), include a table of contents + +**Domain organization**: When a skill supports multiple domains/frameworks, organize by variant: +``` +cloud-deploy/ +├── SKILL.md (workflow + selection) +└── references/ + ├── aws.md + ├── gcp.md + └── azure.md +``` +Claude reads only the relevant reference file. + +#### Principle of Lack of Surprise + +This goes without saying, but skills must not contain malware, exploit code, or any content that could compromise system security. A skill's contents should not surprise the user in their intent if described. Don't go along with requests to create misleading skills or skills designed to facilitate unauthorized access, data exfiltration, or other malicious activities. Things like a "roleplay as an XYZ" are OK though. + +#### Writing Patterns + +Prefer using the imperative form in instructions. + +**Defining output formats** - You can do it like this: +```markdown +## Report structure +ALWAYS use this exact template: +# [Title] +## Executive summary +## Key findings +## Recommendations +``` + +**Examples pattern** - It's useful to include examples. You can format them like this (but if "Input" and "Output" are in the examples you might want to deviate a little): +```markdown +## Commit message format +**Example 1:** +Input: Added user authentication with JWT tokens +Output: feat(auth): implement JWT-based authentication +``` + +### Writing Style + +Try to explain to the model why things are important in lieu of heavy-handed musty MUSTs. Use theory of mind and try to make the skill general and not super-narrow to specific examples. Start by writing a draft and then look at it with fresh eyes and improve it. + +### Test Cases + +After writing the skill draft, come up with 2-3 realistic test prompts — the kind of thing a real user would actually say. Share them with the user: [you don't have to use this exact language] "Here are a few test cases I'd like to try. Do these look right, or do you want to add more?" Then run them. + +Save test cases to `evals/evals.json`. Don't write assertions yet — just the prompts. You'll draft assertions in the next step while the runs are in progress. + +```json +{ + "skill_name": "example-skill", + "evals": [ + { + "id": 1, + "prompt": "User's task prompt", + "expected_output": "Description of expected result", + "files": [] + } + ] +} +``` + +See `references/schemas.md` for the full schema (including the `assertions` field, which you'll add later). + +## Running and evaluating test cases + +This section is one continuous sequence — don't stop partway through. Do NOT use `/skill-test` or any other testing skill. + +Put results in `-workspace/` as a sibling to the skill directory. Within the workspace, organize results by iteration (`iteration-1/`, `iteration-2/`, etc.) and within that, each test case gets a directory (`eval-0/`, `eval-1/`, etc.). Don't create all of this upfront — just create directories as you go. + +### Step 1: Spawn all runs (with-skill AND baseline) in the same turn + +For each test case, spawn two subagents in the same turn — one with the skill, one without. This is important: don't spawn the with-skill runs first and then come back for baselines later. Launch everything at once so it all finishes around the same time. + +**With-skill run:** + +``` +Execute this task: +- Skill path: +- Task: +- Input files: +- Save outputs to: /iteration-/eval-/with_skill/outputs/ +- Outputs to save: +``` + +**Baseline run** (same prompt, but the baseline depends on context): +- **Creating a new skill**: no skill at all. Same prompt, no skill path, save to `without_skill/outputs/`. +- **Improving an existing skill**: the old version. Before editing, snapshot the skill (`cp -r /skill-snapshot/`), then point the baseline subagent at the snapshot. Save to `old_skill/outputs/`. + +Write an `eval_metadata.json` for each test case (assertions can be empty for now). Give each eval a descriptive name based on what it's testing — not just "eval-0". Use this name for the directory too. If this iteration uses new or modified eval prompts, create these files for each new eval directory — don't assume they carry over from previous iterations. + +```json +{ + "eval_id": 0, + "eval_name": "descriptive-name-here", + "prompt": "The user's task prompt", + "assertions": [] +} +``` + +### Step 2: While runs are in progress, draft assertions + +Don't just wait for the runs to finish — you can use this time productively. Draft quantitative assertions for each test case and explain them to the user. If assertions already exist in `evals/evals.json`, review them and explain what they check. + +Good assertions are objectively verifiable and have descriptive names — they should read clearly in the benchmark viewer so someone glancing at the results immediately understands what each one checks. Subjective skills (writing style, design quality) are better evaluated qualitatively — don't force assertions onto things that need human judgment. + +Update the `eval_metadata.json` files and `evals/evals.json` with the assertions once drafted. Also explain to the user what they'll see in the viewer — both the qualitative outputs and the quantitative benchmark. + +### Step 3: As runs complete, capture timing data + +When each subagent task completes, you receive a notification containing `total_tokens` and `duration_ms`. Save this data immediately to `timing.json` in the run directory: + +```json +{ + "total_tokens": 84852, + "duration_ms": 23332, + "total_duration_seconds": 23.3 +} +``` + +This is the only opportunity to capture this data — it comes through the task notification and isn't persisted elsewhere. Process each notification as it arrives rather than trying to batch them. + +### Step 4: Grade, aggregate, and launch the viewer + +Once all runs are done: + +1. **Grade each run** — spawn a grader subagent (or grade inline) that reads `agents/grader.md` and evaluates each assertion against the outputs. Save results to `grading.json` in each run directory. The grading.json expectations array must use the fields `text`, `passed`, and `evidence` (not `name`/`met`/`details` or other variants) — the viewer depends on these exact field names. For assertions that can be checked programmatically, write and run a script rather than eyeballing it — scripts are faster, more reliable, and can be reused across iterations. + +2. **Aggregate into benchmark** — run the aggregation script from the skill-creator directory: + ```bash + python -m scripts.aggregate_benchmark /iteration-N --skill-name + ``` + This produces `benchmark.json` and `benchmark.md` with pass_rate, time, and tokens for each configuration, with mean ± stddev and the delta. If generating benchmark.json manually, see `references/schemas.md` for the exact schema the viewer expects. +Put each with_skill version before its baseline counterpart. + +3. **Do an analyst pass** — read the benchmark data and surface patterns the aggregate stats might hide. See `agents/analyzer.md` (the "Analyzing Benchmark Results" section) for what to look for — things like assertions that always pass regardless of skill (non-discriminating), high-variance evals (possibly flaky), and time/token tradeoffs. + +4. **Launch the viewer** with both qualitative outputs and quantitative data: + ```bash + nohup python /eval-viewer/generate_review.py \ + /iteration-N \ + --skill-name "my-skill" \ + --benchmark /iteration-N/benchmark.json \ + > /dev/null 2>&1 & + VIEWER_PID=$! + ``` + For iteration 2+, also pass `--previous-workspace /iteration-`. + + **Cowork / headless environments:** If `webbrowser.open()` is not available or the environment has no display, use `--static ` to write a standalone HTML file instead of starting a server. Feedback will be downloaded as a `feedback.json` file when the user clicks "Submit All Reviews". After download, copy `feedback.json` into the workspace directory for the next iteration to pick up. + +Note: please use generate_review.py to create the viewer; there's no need to write custom HTML. + +5. **Tell the user** something like: "I've opened the results in your browser. There are two tabs — 'Outputs' lets you click through each test case and leave feedback, 'Benchmark' shows the quantitative comparison. When you're done, come back here and let me know." + +### What the user sees in the viewer + +The "Outputs" tab shows one test case at a time: +- **Prompt**: the task that was given +- **Output**: the files the skill produced, rendered inline where possible +- **Previous Output** (iteration 2+): collapsed section showing last iteration's output +- **Formal Grades** (if grading was run): collapsed section showing assertion pass/fail +- **Feedback**: a textbox that auto-saves as they type +- **Previous Feedback** (iteration 2+): their comments from last time, shown below the textbox + +The "Benchmark" tab shows the stats summary: pass rates, timing, and token usage for each configuration, with per-eval breakdowns and analyst observations. + +Navigation is via prev/next buttons or arrow keys. When done, they click "Submit All Reviews" which saves all feedback to `feedback.json`. + +### Step 5: Read the feedback + +When the user tells you they're done, read `feedback.json`: + +```json +{ + "reviews": [ + {"run_id": "eval-0-with_skill", "feedback": "the chart is missing axis labels", "timestamp": "..."}, + {"run_id": "eval-1-with_skill", "feedback": "", "timestamp": "..."}, + {"run_id": "eval-2-with_skill", "feedback": "perfect, love this", "timestamp": "..."} + ], + "status": "complete" +} +``` + +Empty feedback means the user thought it was fine. Focus your improvements on the test cases where the user had specific complaints. + +Kill the viewer server when you're done with it: + +```bash +kill $VIEWER_PID 2>/dev/null +``` + +--- + +## Improving the skill + +This is the heart of the loop. You've run the test cases, the user has reviewed the results, and now you need to make the skill better based on their feedback. + +### How to think about improvements + +1. **Generalize from the feedback.** The big picture thing that's happening here is that we're trying to create skills that can be used a million times (maybe literally, maybe even more who knows) across many different prompts. Here you and the user are iterating on only a few examples over and over again because it helps move faster. The user knows these examples in and out and it's quick for them to assess new outputs. But if the skill you and the user are codeveloping works only for those examples, it's useless. Rather than put in fiddly overfitty changes, or oppressively constrictive MUSTs, if there's some stubborn issue, you might try branching out and using different metaphors, or recommending different patterns of working. It's relatively cheap to try and maybe you'll land on something great. + +2. **Keep the prompt lean.** Remove things that aren't pulling their weight. Make sure to read the transcripts, not just the final outputs — if it looks like the skill is making the model waste a bunch of time doing things that are unproductive, you can try getting rid of the parts of the skill that are making it do that and seeing what happens. + +3. **Explain the why.** Try hard to explain the **why** behind everything you're asking the model to do. Today's LLMs are *smart*. They have good theory of mind and when given a good harness can go beyond rote instructions and really make things happen. Even if the feedback from the user is terse or frustrated, try to actually understand the task and why the user is writing what they wrote, and what they actually wrote, and then transmit this understanding into the instructions. If you find yourself writing ALWAYS or NEVER in all caps, or using super rigid structures, that's a yellow flag — if possible, reframe and explain the reasoning so that the model understands why the thing you're asking for is important. That's a more humane, powerful, and effective approach. + +4. **Look for repeated work across test cases.** Read the transcripts from the test runs and notice if the subagents all independently wrote similar helper scripts or took the same multi-step approach to something. If all 3 test cases resulted in the subagent writing a `create_docx.py` or a `build_chart.py`, that's a strong signal the skill should bundle that script. Write it once, put it in `scripts/`, and tell the skill to use it. This saves every future invocation from reinventing the wheel. + +This task is pretty important (we are trying to create billions a year in economic value here!) and your thinking time is not the blocker; take your time and really mull things over. I'd suggest writing a draft revision and then looking at it anew and making improvements. Really do your best to get into the head of the user and understand what they want and need. + +### The iteration loop + +After improving the skill: + +1. Apply your improvements to the skill +2. Rerun all test cases into a new `iteration-/` directory, including baseline runs. If you're creating a new skill, the baseline is always `without_skill` (no skill) — that stays the same across iterations. If you're improving an existing skill, use your judgment on what makes sense as the baseline: the original version the user came in with, or the previous iteration. +3. Launch the reviewer with `--previous-workspace` pointing at the previous iteration +4. Wait for the user to review and tell you they're done +5. Read the new feedback, improve again, repeat + +Keep going until: +- The user says they're happy +- The feedback is all empty (everything looks good) +- You're not making meaningful progress + +--- + +## Advanced: Blind comparison + +For situations where you want a more rigorous comparison between two versions of a skill (e.g., the user asks "is the new version actually better?"), there's a blind comparison system. Read `agents/comparator.md` and `agents/analyzer.md` for the details. The basic idea is: give two outputs to an independent agent without telling it which is which, and let it judge quality. Then analyze why the winner won. + +This is optional, requires subagents, and most users won't need it. The human review loop is usually sufficient. + +--- + +## Description Optimization + +The description field in SKILL.md frontmatter is the primary mechanism that determines whether Claude invokes a skill. After creating or improving a skill, offer to optimize the description for better triggering accuracy. + +### Step 1: Generate trigger eval queries + +Create 20 eval queries — a mix of should-trigger and should-not-trigger. Save as JSON: + +```json +[ + {"query": "the user prompt", "should_trigger": true}, + {"query": "another prompt", "should_trigger": false} +] +``` + +The queries must be realistic and something a Claude Code or Claude.ai user would actually type. Not abstract requests, but requests that are concrete and specific and have a good amount of detail. For instance, file paths, personal context about the user's job or situation, column names and values, company names, URLs. A little bit of backstory. Some might be in lowercase or contain abbreviations or typos or casual speech. Use a mix of different lengths, and focus on edge cases rather than making them clear-cut (the user will get a chance to sign off on them). + +Bad: `"Format this data"`, `"Extract text from PDF"`, `"Create a chart"` + +Good: `"ok so my boss just sent me this xlsx file (its in my downloads, called something like 'Q4 sales final FINAL v2.xlsx') and she wants me to add a column that shows the profit margin as a percentage. The revenue is in column C and costs are in column D i think"` + +For the **should-trigger** queries (8-10), think about coverage. You want different phrasings of the same intent — some formal, some casual. Include cases where the user doesn't explicitly name the skill or file type but clearly needs it. Throw in some uncommon use cases and cases where this skill competes with another but should win. + +For the **should-not-trigger** queries (8-10), the most valuable ones are the near-misses — queries that share keywords or concepts with the skill but actually need something different. Think adjacent domains, ambiguous phrasing where a naive keyword match would trigger but shouldn't, and cases where the query touches on something the skill does but in a context where another tool is more appropriate. + +The key thing to avoid: don't make should-not-trigger queries obviously irrelevant. "Write a fibonacci function" as a negative test for a PDF skill is too easy — it doesn't test anything. The negative cases should be genuinely tricky. + +### Step 2: Review with user + +Present the eval set to the user for review using the HTML template: + +1. Read the template from `assets/eval_review.html` +2. Replace the placeholders: + - `__EVAL_DATA_PLACEHOLDER__` → the JSON array of eval items (no quotes around it — it's a JS variable assignment) + - `__SKILL_NAME_PLACEHOLDER__` → the skill's name + - `__SKILL_DESCRIPTION_PLACEHOLDER__` → the skill's current description +3. Write to a temp file (e.g., `/tmp/eval_review_.html`) and open it: `open /tmp/eval_review_.html` +4. The user can edit queries, toggle should-trigger, add/remove entries, then click "Export Eval Set" +5. The file downloads to `~/Downloads/eval_set.json` — check the Downloads folder for the most recent version in case there are multiple (e.g., `eval_set (1).json`) + +This step matters — bad eval queries lead to bad descriptions. + +### Step 3: Run the optimization loop + +Tell the user: "This will take some time — I'll run the optimization loop in the background and check on it periodically." + +Save the eval set to the workspace, then run in the background: + +```bash +python -m scripts.run_loop \ + --eval-set \ + --skill-path \ + --model \ + --max-iterations 5 \ + --verbose +``` + +Use the model ID from your system prompt (the one powering the current session) so the triggering test matches what the user actually experiences. + +While it runs, periodically tail the output to give the user updates on which iteration it's on and what the scores look like. + +This handles the full optimization loop automatically. It splits the eval set into 60% train and 40% held-out test, evaluates the current description (running each query 3 times to get a reliable trigger rate), then calls Claude with extended thinking to propose improvements based on what failed. It re-evaluates each new description on both train and test, iterating up to 5 times. When it's done, it opens an HTML report in the browser showing the results per iteration and returns JSON with `best_description` — selected by test score rather than train score to avoid overfitting. + +### How skill triggering works + +Understanding the triggering mechanism helps design better eval queries. Skills appear in Claude's `available_skills` list with their name + description, and Claude decides whether to consult a skill based on that description. The important thing to know is that Claude only consults skills for tasks it can't easily handle on its own — simple, one-step queries like "read this PDF" may not trigger a skill even if the description matches perfectly, because Claude can handle them directly with basic tools. Complex, multi-step, or specialized queries reliably trigger skills when the description matches. + +This means your eval queries should be substantive enough that Claude would actually benefit from consulting a skill. Simple queries like "read file X" are poor test cases — they won't trigger skills regardless of description quality. + +### Step 4: Apply the result + +Take `best_description` from the JSON output and update the skill's SKILL.md frontmatter. Show the user before/after and report the scores. + +--- + +### Package and Present (only if `present_files` tool is available) + +Check whether you have access to the `present_files` tool. If you don't, skip this step. If you do, package the skill and present the .skill file to the user: + +```bash +python -m scripts.package_skill +``` + +After packaging, direct the user to the resulting `.skill` file path so they can install it. + +--- + +## Claude.ai-specific instructions + +In Claude.ai, the core workflow is the same (draft → test → review → improve → repeat), but because Claude.ai doesn't have subagents, some mechanics change. Here's what to adapt: + +**Running test cases**: No subagents means no parallel execution. For each test case, read the skill's SKILL.md, then follow its instructions to accomplish the test prompt yourself. Do them one at a time. This is less rigorous than independent subagents (you wrote the skill and you're also running it, so you have full context), but it's a useful sanity check — and the human review step compensates. Skip the baseline runs — just use the skill to complete the task as requested. + +**Reviewing results**: If you can't open a browser (e.g., Claude.ai's VM has no display, or you're on a remote server), skip the browser reviewer entirely. Instead, present results directly in the conversation. For each test case, show the prompt and the output. If the output is a file the user needs to see (like a .docx or .xlsx), save it to the filesystem and tell them where it is so they can download and inspect it. Ask for feedback inline: "How does this look? Anything you'd change?" + +**Benchmarking**: Skip the quantitative benchmarking — it relies on baseline comparisons which aren't meaningful without subagents. Focus on qualitative feedback from the user. + +**The iteration loop**: Same as before — improve the skill, rerun the test cases, ask for feedback — just without the browser reviewer in the middle. You can still organize results into iteration directories on the filesystem if you have one. + +**Description optimization**: This section requires the `claude` CLI tool (specifically `claude -p`) which is only available in Claude Code. Skip it if you're on Claude.ai. + +**Blind comparison**: Requires subagents. Skip it. + +**Packaging**: The `package_skill.py` script works anywhere with Python and a filesystem. On Claude.ai, you can run it and the user can download the resulting `.skill` file. + +--- + +## Cowork-Specific Instructions + +If you're in Cowork, the main things to know are: + +- You have subagents, so the main workflow (spawn test cases in parallel, run baselines, grade, etc.) all works. (However, if you run into severe problems with timeouts, it's OK to run the test prompts in series rather than parallel.) +- You don't have a browser or display, so when generating the eval viewer, use `--static ` to write a standalone HTML file instead of starting a server. Then proffer a link that the user can click to open the HTML in their browser. +- For whatever reason, the Cowork setup seems to disincline Claude from generating the eval viewer after running the tests, so just to reiterate: whether you're in Cowork or in Claude Code, after running tests, you should always generate the eval viewer for the human to look at examples before revising the skill yourself and trying to make corrections, using `generate_review.py` (not writing your own boutique html code). Sorry in advance but I'm gonna go all caps here: GENERATE THE EVAL VIEWER *BEFORE* evaluating inputs yourself. You want to get them in front of the human ASAP! +- Feedback works differently: since there's no running server, the viewer's "Submit All Reviews" button will download `feedback.json` as a file. You can then read it from there (you may have to request access first). +- Packaging works — `package_skill.py` just needs Python and a filesystem. +- Description optimization (`run_loop.py` / `run_eval.py`) should work in Cowork just fine since it uses `claude -p` via subprocess, not a browser, but please save it until you've fully finished making the skill and the user agrees it's in good shape. + +--- + +## Reference files + +The agents/ directory contains instructions for specialized subagents. Read them when you need to spawn the relevant subagent. + +- `agents/grader.md` — How to evaluate assertions against outputs +- `agents/comparator.md` — How to do blind A/B comparison between two outputs +- `agents/analyzer.md` — How to analyze why one version beat another + +The references/ directory has additional documentation: +- `references/schemas.md` — JSON structures for evals.json, grading.json, etc. + +--- + +Repeating one more time the core loop here for emphasis: + +- Figure out what the skill is about +- Draft or edit the skill +- Run claude-with-access-to-the-skill on test prompts +- With the user, evaluate the outputs: + - Create benchmark.json and run `eval-viewer/generate_review.py` to help the user review them + - Run quantitative evals +- Repeat until you and the user are satisfied +- Package the final skill and return it to the user. + +Please add steps to your TodoList, if you have such a thing, to make sure you don't forget. If you're in Cowork, please specifically put "Create evals JSON and run `eval-viewer/generate_review.py` so human can review test cases" in your TodoList to make sure it happens. + +Good luck! diff --git a/.agents/skills/anthropics-skill-creator/agents/analyzer.md b/.agents/skills/anthropics-skill-creator/agents/analyzer.md new file mode 100644 index 0000000..14e41d6 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/agents/analyzer.md @@ -0,0 +1,274 @@ +# Post-hoc Analyzer Agent + +Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions. + +## Role + +After the blind comparator determines a winner, the Post-hoc Analyzer "unblids" the results by examining the skills and transcripts. The goal is to extract actionable insights: what made the winner better, and how can the loser be improved? + +## Inputs + +You receive these parameters in your prompt: + +- **winner**: "A" or "B" (from blind comparison) +- **winner_skill_path**: Path to the skill that produced the winning output +- **winner_transcript_path**: Path to the execution transcript for the winner +- **loser_skill_path**: Path to the skill that produced the losing output +- **loser_transcript_path**: Path to the execution transcript for the loser +- **comparison_result_path**: Path to the blind comparator's output JSON +- **output_path**: Where to save the analysis results + +## Process + +### Step 1: Read Comparison Result + +1. Read the blind comparator's output at comparison_result_path +2. Note the winning side (A or B), the reasoning, and any scores +3. Understand what the comparator valued in the winning output + +### Step 2: Read Both Skills + +1. Read the winner skill's SKILL.md and key referenced files +2. Read the loser skill's SKILL.md and key referenced files +3. Identify structural differences: + - Instructions clarity and specificity + - Script/tool usage patterns + - Example coverage + - Edge case handling + +### Step 3: Read Both Transcripts + +1. Read the winner's transcript +2. Read the loser's transcript +3. Compare execution patterns: + - How closely did each follow their skill's instructions? + - What tools were used differently? + - Where did the loser diverge from optimal behavior? + - Did either encounter errors or make recovery attempts? + +### Step 4: Analyze Instruction Following + +For each transcript, evaluate: +- Did the agent follow the skill's explicit instructions? +- Did the agent use the skill's provided tools/scripts? +- Were there missed opportunities to leverage skill content? +- Did the agent add unnecessary steps not in the skill? + +Score instruction following 1-10 and note specific issues. + +### Step 5: Identify Winner Strengths + +Determine what made the winner better: +- Clearer instructions that led to better behavior? +- Better scripts/tools that produced better output? +- More comprehensive examples that guided edge cases? +- Better error handling guidance? + +Be specific. Quote from skills/transcripts where relevant. + +### Step 6: Identify Loser Weaknesses + +Determine what held the loser back: +- Ambiguous instructions that led to suboptimal choices? +- Missing tools/scripts that forced workarounds? +- Gaps in edge case coverage? +- Poor error handling that caused failures? + +### Step 7: Generate Improvement Suggestions + +Based on the analysis, produce actionable suggestions for improving the loser skill: +- Specific instruction changes to make +- Tools/scripts to add or modify +- Examples to include +- Edge cases to address + +Prioritize by impact. Focus on changes that would have changed the outcome. + +### Step 8: Write Analysis Results + +Save structured analysis to `{output_path}`. + +## Output Format + +Write a JSON file with this structure: + +```json +{ + "comparison_summary": { + "winner": "A", + "winner_skill": "path/to/winner/skill", + "loser_skill": "path/to/loser/skill", + "comparator_reasoning": "Brief summary of why comparator chose winner" + }, + "winner_strengths": [ + "Clear step-by-step instructions for handling multi-page documents", + "Included validation script that caught formatting errors", + "Explicit guidance on fallback behavior when OCR fails" + ], + "loser_weaknesses": [ + "Vague instruction 'process the document appropriately' led to inconsistent behavior", + "No script for validation, agent had to improvise and made errors", + "No guidance on OCR failure, agent gave up instead of trying alternatives" + ], + "instruction_following": { + "winner": { + "score": 9, + "issues": [ + "Minor: skipped optional logging step" + ] + }, + "loser": { + "score": 6, + "issues": [ + "Did not use the skill's formatting template", + "Invented own approach instead of following step 3", + "Missed the 'always validate output' instruction" + ] + } + }, + "improvement_suggestions": [ + { + "priority": "high", + "category": "instructions", + "suggestion": "Replace 'process the document appropriately' with explicit steps: 1) Extract text, 2) Identify sections, 3) Format per template", + "expected_impact": "Would eliminate ambiguity that caused inconsistent behavior" + }, + { + "priority": "high", + "category": "tools", + "suggestion": "Add validate_output.py script similar to winner skill's validation approach", + "expected_impact": "Would catch formatting errors before final output" + }, + { + "priority": "medium", + "category": "error_handling", + "suggestion": "Add fallback instructions: 'If OCR fails, try: 1) different resolution, 2) image preprocessing, 3) manual extraction'", + "expected_impact": "Would prevent early failure on difficult documents" + } + ], + "transcript_insights": { + "winner_execution_pattern": "Read skill -> Followed 5-step process -> Used validation script -> Fixed 2 issues -> Produced output", + "loser_execution_pattern": "Read skill -> Unclear on approach -> Tried 3 different methods -> No validation -> Output had errors" + } +} +``` + +## Guidelines + +- **Be specific**: Quote from skills and transcripts, don't just say "instructions were unclear" +- **Be actionable**: Suggestions should be concrete changes, not vague advice +- **Focus on skill improvements**: The goal is to improve the losing skill, not critique the agent +- **Prioritize by impact**: Which changes would most likely have changed the outcome? +- **Consider causation**: Did the skill weakness actually cause the worse output, or is it incidental? +- **Stay objective**: Analyze what happened, don't editorialize +- **Think about generalization**: Would this improvement help on other evals too? + +## Categories for Suggestions + +Use these categories to organize improvement suggestions: + +| Category | Description | +|----------|-------------| +| `instructions` | Changes to the skill's prose instructions | +| `tools` | Scripts, templates, or utilities to add/modify | +| `examples` | Example inputs/outputs to include | +| `error_handling` | Guidance for handling failures | +| `structure` | Reorganization of skill content | +| `references` | External docs or resources to add | + +## Priority Levels + +- **high**: Would likely change the outcome of this comparison +- **medium**: Would improve quality but may not change win/loss +- **low**: Nice to have, marginal improvement + +--- + +# Analyzing Benchmark Results + +When analyzing benchmark results, the analyzer's purpose is to **surface patterns and anomalies** across multiple runs, not suggest skill improvements. + +## Role + +Review all benchmark run results and generate freeform notes that help the user understand skill performance. Focus on patterns that wouldn't be visible from aggregate metrics alone. + +## Inputs + +You receive these parameters in your prompt: + +- **benchmark_data_path**: Path to the in-progress benchmark.json with all run results +- **skill_path**: Path to the skill being benchmarked +- **output_path**: Where to save the notes (as JSON array of strings) + +## Process + +### Step 1: Read Benchmark Data + +1. Read the benchmark.json containing all run results +2. Note the configurations tested (with_skill, without_skill) +3. Understand the run_summary aggregates already calculated + +### Step 2: Analyze Per-Assertion Patterns + +For each expectation across all runs: +- Does it **always pass** in both configurations? (may not differentiate skill value) +- Does it **always fail** in both configurations? (may be broken or beyond capability) +- Does it **always pass with skill but fail without**? (skill clearly adds value here) +- Does it **always fail with skill but pass without**? (skill may be hurting) +- Is it **highly variable**? (flaky expectation or non-deterministic behavior) + +### Step 3: Analyze Cross-Eval Patterns + +Look for patterns across evals: +- Are certain eval types consistently harder/easier? +- Do some evals show high variance while others are stable? +- Are there surprising results that contradict expectations? + +### Step 4: Analyze Metrics Patterns + +Look at time_seconds, tokens, tool_calls: +- Does the skill significantly increase execution time? +- Is there high variance in resource usage? +- Are there outlier runs that skew the aggregates? + +### Step 5: Generate Notes + +Write freeform observations as a list of strings. Each note should: +- State a specific observation +- Be grounded in the data (not speculation) +- Help the user understand something the aggregate metrics don't show + +Examples: +- "Assertion 'Output is a PDF file' passes 100% in both configurations - may not differentiate skill value" +- "Eval 3 shows high variance (50% ± 40%) - run 2 had an unusual failure that may be flaky" +- "Without-skill runs consistently fail on table extraction expectations (0% pass rate)" +- "Skill adds 13s average execution time but improves pass rate by 50%" +- "Token usage is 80% higher with skill, primarily due to script output parsing" +- "All 3 without-skill runs for eval 1 produced empty output" + +### Step 6: Write Notes + +Save notes to `{output_path}` as a JSON array of strings: + +```json +[ + "Assertion 'Output is a PDF file' passes 100% in both configurations - may not differentiate skill value", + "Eval 3 shows high variance (50% ± 40%) - run 2 had an unusual failure", + "Without-skill runs consistently fail on table extraction expectations", + "Skill adds 13s average execution time but improves pass rate by 50%" +] +``` + +## Guidelines + +**DO:** +- Report what you observe in the data +- Be specific about which evals, expectations, or runs you're referring to +- Note patterns that aggregate metrics would hide +- Provide context that helps interpret the numbers + +**DO NOT:** +- Suggest improvements to the skill (that's for the improvement step, not benchmarking) +- Make subjective quality judgments ("the output was good/bad") +- Speculate about causes without evidence +- Repeat information already in the run_summary aggregates diff --git a/.agents/skills/anthropics-skill-creator/agents/comparator.md b/.agents/skills/anthropics-skill-creator/agents/comparator.md new file mode 100644 index 0000000..80e00eb --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/agents/comparator.md @@ -0,0 +1,202 @@ +# Blind Comparator Agent + +Compare two outputs WITHOUT knowing which skill produced them. + +## Role + +The Blind Comparator judges which output better accomplishes the eval task. You receive two outputs labeled A and B, but you do NOT know which skill produced which. This prevents bias toward a particular skill or approach. + +Your judgment is based purely on output quality and task completion. + +## Inputs + +You receive these parameters in your prompt: + +- **output_a_path**: Path to the first output file or directory +- **output_b_path**: Path to the second output file or directory +- **eval_prompt**: The original task/prompt that was executed +- **expectations**: List of expectations to check (optional - may be empty) + +## Process + +### Step 1: Read Both Outputs + +1. Examine output A (file or directory) +2. Examine output B (file or directory) +3. Note the type, structure, and content of each +4. If outputs are directories, examine all relevant files inside + +### Step 2: Understand the Task + +1. Read the eval_prompt carefully +2. Identify what the task requires: + - What should be produced? + - What qualities matter (accuracy, completeness, format)? + - What would distinguish a good output from a poor one? + +### Step 3: Generate Evaluation Rubric + +Based on the task, generate a rubric with two dimensions: + +**Content Rubric** (what the output contains): +| Criterion | 1 (Poor) | 3 (Acceptable) | 5 (Excellent) | +|-----------|----------|----------------|---------------| +| Correctness | Major errors | Minor errors | Fully correct | +| Completeness | Missing key elements | Mostly complete | All elements present | +| Accuracy | Significant inaccuracies | Minor inaccuracies | Accurate throughout | + +**Structure Rubric** (how the output is organized): +| Criterion | 1 (Poor) | 3 (Acceptable) | 5 (Excellent) | +|-----------|----------|----------------|---------------| +| Organization | Disorganized | Reasonably organized | Clear, logical structure | +| Formatting | Inconsistent/broken | Mostly consistent | Professional, polished | +| Usability | Difficult to use | Usable with effort | Easy to use | + +Adapt criteria to the specific task. For example: +- PDF form → "Field alignment", "Text readability", "Data placement" +- Document → "Section structure", "Heading hierarchy", "Paragraph flow" +- Data output → "Schema correctness", "Data types", "Completeness" + +### Step 4: Evaluate Each Output Against the Rubric + +For each output (A and B): + +1. **Score each criterion** on the rubric (1-5 scale) +2. **Calculate dimension totals**: Content score, Structure score +3. **Calculate overall score**: Average of dimension scores, scaled to 1-10 + +### Step 5: Check Assertions (if provided) + +If expectations are provided: + +1. Check each expectation against output A +2. Check each expectation against output B +3. Count pass rates for each output +4. Use expectation scores as secondary evidence (not the primary decision factor) + +### Step 6: Determine the Winner + +Compare A and B based on (in priority order): + +1. **Primary**: Overall rubric score (content + structure) +2. **Secondary**: Assertion pass rates (if applicable) +3. **Tiebreaker**: If truly equal, declare a TIE + +Be decisive - ties should be rare. One output is usually better, even if marginally. + +### Step 7: Write Comparison Results + +Save results to a JSON file at the path specified (or `comparison.json` if not specified). + +## Output Format + +Write a JSON file with this structure: + +```json +{ + "winner": "A", + "reasoning": "Output A provides a complete solution with proper formatting and all required fields. Output B is missing the date field and has formatting inconsistencies.", + "rubric": { + "A": { + "content": { + "correctness": 5, + "completeness": 5, + "accuracy": 4 + }, + "structure": { + "organization": 4, + "formatting": 5, + "usability": 4 + }, + "content_score": 4.7, + "structure_score": 4.3, + "overall_score": 9.0 + }, + "B": { + "content": { + "correctness": 3, + "completeness": 2, + "accuracy": 3 + }, + "structure": { + "organization": 3, + "formatting": 2, + "usability": 3 + }, + "content_score": 2.7, + "structure_score": 2.7, + "overall_score": 5.4 + } + }, + "output_quality": { + "A": { + "score": 9, + "strengths": ["Complete solution", "Well-formatted", "All fields present"], + "weaknesses": ["Minor style inconsistency in header"] + }, + "B": { + "score": 5, + "strengths": ["Readable output", "Correct basic structure"], + "weaknesses": ["Missing date field", "Formatting inconsistencies", "Partial data extraction"] + } + }, + "expectation_results": { + "A": { + "passed": 4, + "total": 5, + "pass_rate": 0.80, + "details": [ + {"text": "Output includes name", "passed": true}, + {"text": "Output includes date", "passed": true}, + {"text": "Format is PDF", "passed": true}, + {"text": "Contains signature", "passed": false}, + {"text": "Readable text", "passed": true} + ] + }, + "B": { + "passed": 3, + "total": 5, + "pass_rate": 0.60, + "details": [ + {"text": "Output includes name", "passed": true}, + {"text": "Output includes date", "passed": false}, + {"text": "Format is PDF", "passed": true}, + {"text": "Contains signature", "passed": false}, + {"text": "Readable text", "passed": true} + ] + } + } +} +``` + +If no expectations were provided, omit the `expectation_results` field entirely. + +## Field Descriptions + +- **winner**: "A", "B", or "TIE" +- **reasoning**: Clear explanation of why the winner was chosen (or why it's a tie) +- **rubric**: Structured rubric evaluation for each output + - **content**: Scores for content criteria (correctness, completeness, accuracy) + - **structure**: Scores for structure criteria (organization, formatting, usability) + - **content_score**: Average of content criteria (1-5) + - **structure_score**: Average of structure criteria (1-5) + - **overall_score**: Combined score scaled to 1-10 +- **output_quality**: Summary quality assessment + - **score**: 1-10 rating (should match rubric overall_score) + - **strengths**: List of positive aspects + - **weaknesses**: List of issues or shortcomings +- **expectation_results**: (Only if expectations provided) + - **passed**: Number of expectations that passed + - **total**: Total number of expectations + - **pass_rate**: Fraction passed (0.0 to 1.0) + - **details**: Individual expectation results + +## Guidelines + +- **Stay blind**: DO NOT try to infer which skill produced which output. Judge purely on output quality. +- **Be specific**: Cite specific examples when explaining strengths and weaknesses. +- **Be decisive**: Choose a winner unless outputs are genuinely equivalent. +- **Output quality first**: Assertion scores are secondary to overall task completion. +- **Be objective**: Don't favor outputs based on style preferences; focus on correctness and completeness. +- **Explain your reasoning**: The reasoning field should make it clear why you chose the winner. +- **Handle edge cases**: If both outputs fail, pick the one that fails less badly. If both are excellent, pick the one that's marginally better. diff --git a/.agents/skills/anthropics-skill-creator/agents/grader.md b/.agents/skills/anthropics-skill-creator/agents/grader.md new file mode 100644 index 0000000..558ab05 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/agents/grader.md @@ -0,0 +1,223 @@ +# Grader Agent + +Evaluate expectations against an execution transcript and outputs. + +## Role + +The Grader reviews a transcript and output files, then determines whether each expectation passes or fails. Provide clear evidence for each judgment. + +You have two jobs: grade the outputs, and critique the evals themselves. A passing grade on a weak assertion is worse than useless — it creates false confidence. When you notice an assertion that's trivially satisfied, or an important outcome that no assertion checks, say so. + +## Inputs + +You receive these parameters in your prompt: + +- **expectations**: List of expectations to evaluate (strings) +- **transcript_path**: Path to the execution transcript (markdown file) +- **outputs_dir**: Directory containing output files from execution + +## Process + +### Step 1: Read the Transcript + +1. Read the transcript file completely +2. Note the eval prompt, execution steps, and final result +3. Identify any issues or errors documented + +### Step 2: Examine Output Files + +1. List files in outputs_dir +2. Read/examine each file relevant to the expectations. If outputs aren't plain text, use the inspection tools provided in your prompt — don't rely solely on what the transcript says the executor produced. +3. Note contents, structure, and quality + +### Step 3: Evaluate Each Assertion + +For each expectation: + +1. **Search for evidence** in the transcript and outputs +2. **Determine verdict**: + - **PASS**: Clear evidence the expectation is true AND the evidence reflects genuine task completion, not just surface-level compliance + - **FAIL**: No evidence, or evidence contradicts the expectation, or the evidence is superficial (e.g., correct filename but empty/wrong content) +3. **Cite the evidence**: Quote the specific text or describe what you found + +### Step 4: Extract and Verify Claims + +Beyond the predefined expectations, extract implicit claims from the outputs and verify them: + +1. **Extract claims** from the transcript and outputs: + - Factual statements ("The form has 12 fields") + - Process claims ("Used pypdf to fill the form") + - Quality claims ("All fields were filled correctly") + +2. **Verify each claim**: + - **Factual claims**: Can be checked against the outputs or external sources + - **Process claims**: Can be verified from the transcript + - **Quality claims**: Evaluate whether the claim is justified + +3. **Flag unverifiable claims**: Note claims that cannot be verified with available information + +This catches issues that predefined expectations might miss. + +### Step 5: Read User Notes + +If `{outputs_dir}/user_notes.md` exists: +1. Read it and note any uncertainties or issues flagged by the executor +2. Include relevant concerns in the grading output +3. These may reveal problems even when expectations pass + +### Step 6: Critique the Evals + +After grading, consider whether the evals themselves could be improved. Only surface suggestions when there's a clear gap. + +Good suggestions test meaningful outcomes — assertions that are hard to satisfy without actually doing the work correctly. Think about what makes an assertion *discriminating*: it passes when the skill genuinely succeeds and fails when it doesn't. + +Suggestions worth raising: +- An assertion that passed but would also pass for a clearly wrong output (e.g., checking filename existence but not file content) +- An important outcome you observed — good or bad — that no assertion covers at all +- An assertion that can't actually be verified from the available outputs + +Keep the bar high. The goal is to flag things the eval author would say "good catch" about, not to nitpick every assertion. + +### Step 7: Write Grading Results + +Save results to `{outputs_dir}/../grading.json` (sibling to outputs_dir). + +## Grading Criteria + +**PASS when**: +- The transcript or outputs clearly demonstrate the expectation is true +- Specific evidence can be cited +- The evidence reflects genuine substance, not just surface compliance (e.g., a file exists AND contains correct content, not just the right filename) + +**FAIL when**: +- No evidence found for the expectation +- Evidence contradicts the expectation +- The expectation cannot be verified from available information +- The evidence is superficial — the assertion is technically satisfied but the underlying task outcome is wrong or incomplete +- The output appears to meet the assertion by coincidence rather than by actually doing the work + +**When uncertain**: The burden of proof to pass is on the expectation. + +### Step 8: Read Executor Metrics and Timing + +1. If `{outputs_dir}/metrics.json` exists, read it and include in grading output +2. If `{outputs_dir}/../timing.json` exists, read it and include timing data + +## Output Format + +Write a JSON file with this structure: + +```json +{ + "expectations": [ + { + "text": "The output includes the name 'John Smith'", + "passed": true, + "evidence": "Found in transcript Step 3: 'Extracted names: John Smith, Sarah Johnson'" + }, + { + "text": "The spreadsheet has a SUM formula in cell B10", + "passed": false, + "evidence": "No spreadsheet was created. The output was a text file." + }, + { + "text": "The assistant used the skill's OCR script", + "passed": true, + "evidence": "Transcript Step 2 shows: 'Tool: Bash - python ocr_script.py image.png'" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "total": 3, + "pass_rate": 0.67 + }, + "execution_metrics": { + "tool_calls": { + "Read": 5, + "Write": 2, + "Bash": 8 + }, + "total_tool_calls": 15, + "total_steps": 6, + "errors_encountered": 0, + "output_chars": 12450, + "transcript_chars": 3200 + }, + "timing": { + "executor_duration_seconds": 165.0, + "grader_duration_seconds": 26.0, + "total_duration_seconds": 191.0 + }, + "claims": [ + { + "claim": "The form has 12 fillable fields", + "type": "factual", + "verified": true, + "evidence": "Counted 12 fields in field_info.json" + }, + { + "claim": "All required fields were populated", + "type": "quality", + "verified": false, + "evidence": "Reference section was left blank despite data being available" + } + ], + "user_notes_summary": { + "uncertainties": ["Used 2023 data, may be stale"], + "needs_review": [], + "workarounds": ["Fell back to text overlay for non-fillable fields"] + }, + "eval_feedback": { + "suggestions": [ + { + "assertion": "The output includes the name 'John Smith'", + "reason": "A hallucinated document that mentions the name would also pass — consider checking it appears as the primary contact with matching phone and email from the input" + }, + { + "reason": "No assertion checks whether the extracted phone numbers match the input — I observed incorrect numbers in the output that went uncaught" + } + ], + "overall": "Assertions check presence but not correctness. Consider adding content verification." + } +} +``` + +## Field Descriptions + +- **expectations**: Array of graded expectations + - **text**: The original expectation text + - **passed**: Boolean - true if expectation passes + - **evidence**: Specific quote or description supporting the verdict +- **summary**: Aggregate statistics + - **passed**: Count of passed expectations + - **failed**: Count of failed expectations + - **total**: Total expectations evaluated + - **pass_rate**: Fraction passed (0.0 to 1.0) +- **execution_metrics**: Copied from executor's metrics.json (if available) + - **output_chars**: Total character count of output files (proxy for tokens) + - **transcript_chars**: Character count of transcript +- **timing**: Wall clock timing from timing.json (if available) + - **executor_duration_seconds**: Time spent in executor subagent + - **total_duration_seconds**: Total elapsed time for the run +- **claims**: Extracted and verified claims from the output + - **claim**: The statement being verified + - **type**: "factual", "process", or "quality" + - **verified**: Boolean - whether the claim holds + - **evidence**: Supporting or contradicting evidence +- **user_notes_summary**: Issues flagged by the executor + - **uncertainties**: Things the executor wasn't sure about + - **needs_review**: Items requiring human attention + - **workarounds**: Places where the skill didn't work as expected +- **eval_feedback**: Improvement suggestions for the evals (only when warranted) + - **suggestions**: List of concrete suggestions, each with a `reason` and optionally an `assertion` it relates to + - **overall**: Brief assessment — can be "No suggestions, evals look solid" if nothing to flag + +## Guidelines + +- **Be objective**: Base verdicts on evidence, not assumptions +- **Be specific**: Quote the exact text that supports your verdict +- **Be thorough**: Check both transcript and output files +- **Be consistent**: Apply the same standard to each expectation +- **Explain failures**: Make it clear why evidence was insufficient +- **No partial credit**: Each expectation is pass or fail, not partial diff --git a/.agents/skills/anthropics-skill-creator/assets/eval_review.html b/.agents/skills/anthropics-skill-creator/assets/eval_review.html new file mode 100644 index 0000000..938ff32 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/assets/eval_review.html @@ -0,0 +1,146 @@ + + + + + + Eval Set Review - __SKILL_NAME_PLACEHOLDER__ + + + + + + +

Eval Set Review: __SKILL_NAME_PLACEHOLDER__

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Current description: __SKILL_DESCRIPTION_PLACEHOLDER__

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QueryShould TriggerActions
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+ + + + diff --git a/.agents/skills/anthropics-skill-creator/eval-viewer/generate_review.py b/.agents/skills/anthropics-skill-creator/eval-viewer/generate_review.py new file mode 100644 index 0000000..7fa5978 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/eval-viewer/generate_review.py @@ -0,0 +1,471 @@ +#!/usr/bin/env python3 +"""Generate and serve a review page for eval results. + +Reads the workspace directory, discovers runs (directories with outputs/), +embeds all output data into a self-contained HTML page, and serves it via +a tiny HTTP server. Feedback auto-saves to feedback.json in the workspace. + +Usage: + python generate_review.py [--port PORT] [--skill-name NAME] + python generate_review.py --previous-feedback /path/to/old/feedback.json + +No dependencies beyond the Python stdlib are required. +""" + +import argparse +import base64 +import json +import mimetypes +import os +import re +import signal +import subprocess +import sys +import time +import webbrowser +from functools import partial +from http.server import HTTPServer, BaseHTTPRequestHandler +from pathlib import Path + +# Files to exclude from output listings +METADATA_FILES = {"transcript.md", "user_notes.md", "metrics.json"} + +# Extensions we render as inline text +TEXT_EXTENSIONS = { + ".txt", ".md", ".json", ".csv", ".py", ".js", ".ts", ".tsx", ".jsx", + ".yaml", ".yml", ".xml", ".html", ".css", ".sh", ".rb", ".go", ".rs", + ".java", ".c", ".cpp", ".h", ".hpp", ".sql", ".r", ".toml", +} + +# Extensions we render as inline images +IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".gif", ".svg", ".webp"} + +# MIME type overrides for common types +MIME_OVERRIDES = { + ".svg": "image/svg+xml", + ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", +} + + +def get_mime_type(path: Path) -> str: + ext = path.suffix.lower() + if ext in MIME_OVERRIDES: + return MIME_OVERRIDES[ext] + mime, _ = mimetypes.guess_type(str(path)) + return mime or "application/octet-stream" + + +def find_runs(workspace: Path) -> list[dict]: + """Recursively find directories that contain an outputs/ subdirectory.""" + runs: list[dict] = [] + _find_runs_recursive(workspace, workspace, runs) + runs.sort(key=lambda r: (r.get("eval_id", float("inf")), r["id"])) + return runs + + +def _find_runs_recursive(root: Path, current: Path, runs: list[dict]) -> None: + if not current.is_dir(): + return + + outputs_dir = current / "outputs" + if outputs_dir.is_dir(): + run = build_run(root, current) + if run: + runs.append(run) + return + + skip = {"node_modules", ".git", "__pycache__", "skill", "inputs"} + for child in sorted(current.iterdir()): + if child.is_dir() and child.name not in skip: + _find_runs_recursive(root, child, runs) + + +def build_run(root: Path, run_dir: Path) -> dict | None: + """Build a run dict with prompt, outputs, and grading data.""" + prompt = "" + eval_id = None + + # Try eval_metadata.json + for candidate in [run_dir / "eval_metadata.json", run_dir.parent / "eval_metadata.json"]: + if candidate.exists(): + try: + metadata = json.loads(candidate.read_text()) + prompt = metadata.get("prompt", "") + eval_id = metadata.get("eval_id") + except (json.JSONDecodeError, OSError): + pass + if prompt: + break + + # Fall back to transcript.md + if not prompt: + for candidate in [run_dir / "transcript.md", run_dir / "outputs" / "transcript.md"]: + if candidate.exists(): + try: + text = candidate.read_text() + match = re.search(r"## Eval Prompt\n\n([\s\S]*?)(?=\n##|$)", text) + if match: + prompt = match.group(1).strip() + except OSError: + pass + if prompt: + break + + if not prompt: + prompt = "(No prompt found)" + + run_id = str(run_dir.relative_to(root)).replace("/", "-").replace("\\", "-") + + # Collect output files + outputs_dir = run_dir / "outputs" + output_files: list[dict] = [] + if outputs_dir.is_dir(): + for f in sorted(outputs_dir.iterdir()): + if f.is_file() and f.name not in METADATA_FILES: + output_files.append(embed_file(f)) + + # Load grading if present + grading = None + for candidate in [run_dir / "grading.json", run_dir.parent / "grading.json"]: + if candidate.exists(): + try: + grading = json.loads(candidate.read_text()) + except (json.JSONDecodeError, OSError): + pass + if grading: + break + + return { + "id": run_id, + "prompt": prompt, + "eval_id": eval_id, + "outputs": output_files, + "grading": grading, + } + + +def embed_file(path: Path) -> dict: + """Read a file and return an embedded representation.""" + ext = path.suffix.lower() + mime = get_mime_type(path) + + if ext in TEXT_EXTENSIONS: + try: + content = path.read_text(errors="replace") + except OSError: + content = "(Error reading file)" + return { + "name": path.name, + "type": "text", + "content": content, + } + elif ext in IMAGE_EXTENSIONS: + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "image", + "mime": mime, + "data_uri": f"data:{mime};base64,{b64}", + } + elif ext == ".pdf": + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "pdf", + "data_uri": f"data:{mime};base64,{b64}", + } + elif ext == ".xlsx": + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "xlsx", + "data_b64": b64, + } + else: + # Binary / unknown — base64 download link + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "binary", + "mime": mime, + "data_uri": f"data:{mime};base64,{b64}", + } + + +def load_previous_iteration(workspace: Path) -> dict[str, dict]: + """Load previous iteration's feedback and outputs. + + Returns a map of run_id -> {"feedback": str, "outputs": list[dict]}. + """ + result: dict[str, dict] = {} + + # Load feedback + feedback_map: dict[str, str] = {} + feedback_path = workspace / "feedback.json" + if feedback_path.exists(): + try: + data = json.loads(feedback_path.read_text()) + feedback_map = { + r["run_id"]: r["feedback"] + for r in data.get("reviews", []) + if r.get("feedback", "").strip() + } + except (json.JSONDecodeError, OSError, KeyError): + pass + + # Load runs (to get outputs) + prev_runs = find_runs(workspace) + for run in prev_runs: + result[run["id"]] = { + "feedback": feedback_map.get(run["id"], ""), + "outputs": run.get("outputs", []), + } + + # Also add feedback for run_ids that had feedback but no matching run + for run_id, fb in feedback_map.items(): + if run_id not in result: + result[run_id] = {"feedback": fb, "outputs": []} + + return result + + +def generate_html( + runs: list[dict], + skill_name: str, + previous: dict[str, dict] | None = None, + benchmark: dict | None = None, +) -> str: + """Generate the complete standalone HTML page with embedded data.""" + template_path = Path(__file__).parent / "viewer.html" + template = template_path.read_text() + + # Build previous_feedback and previous_outputs maps for the template + previous_feedback: dict[str, str] = {} + previous_outputs: dict[str, list[dict]] = {} + if previous: + for run_id, data in previous.items(): + if data.get("feedback"): + previous_feedback[run_id] = data["feedback"] + if data.get("outputs"): + previous_outputs[run_id] = data["outputs"] + + embedded = { + "skill_name": skill_name, + "runs": runs, + "previous_feedback": previous_feedback, + "previous_outputs": previous_outputs, + } + if benchmark: + embedded["benchmark"] = benchmark + + data_json = json.dumps(embedded) + + return template.replace("/*__EMBEDDED_DATA__*/", f"const EMBEDDED_DATA = {data_json};") + + +# --------------------------------------------------------------------------- +# HTTP server (stdlib only, zero dependencies) +# --------------------------------------------------------------------------- + +def _kill_port(port: int) -> None: + """Kill any process listening on the given port.""" + try: + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, text=True, timeout=5, + ) + for pid_str in result.stdout.strip().split("\n"): + if pid_str.strip(): + try: + os.kill(int(pid_str.strip()), signal.SIGTERM) + except (ProcessLookupError, ValueError): + pass + if result.stdout.strip(): + time.sleep(0.5) + except subprocess.TimeoutExpired: + pass + except FileNotFoundError: + print("Note: lsof not found, cannot check if port is in use", file=sys.stderr) + +class ReviewHandler(BaseHTTPRequestHandler): + """Serves the review HTML and handles feedback saves. + + Regenerates the HTML on each page load so that refreshing the browser + picks up new eval outputs without restarting the server. + """ + + def __init__( + self, + workspace: Path, + skill_name: str, + feedback_path: Path, + previous: dict[str, dict], + benchmark_path: Path | None, + *args, + **kwargs, + ): + self.workspace = workspace + self.skill_name = skill_name + self.feedback_path = feedback_path + self.previous = previous + self.benchmark_path = benchmark_path + super().__init__(*args, **kwargs) + + def do_GET(self) -> None: + if self.path == "/" or self.path == "/index.html": + # Regenerate HTML on each request (re-scans workspace for new outputs) + runs = find_runs(self.workspace) + benchmark = None + if self.benchmark_path and self.benchmark_path.exists(): + try: + benchmark = json.loads(self.benchmark_path.read_text()) + except (json.JSONDecodeError, OSError): + pass + html = generate_html(runs, self.skill_name, self.previous, benchmark) + content = html.encode("utf-8") + self.send_response(200) + self.send_header("Content-Type", "text/html; charset=utf-8") + self.send_header("Content-Length", str(len(content))) + self.end_headers() + self.wfile.write(content) + elif self.path == "/api/feedback": + data = b"{}" + if self.feedback_path.exists(): + data = self.feedback_path.read_bytes() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(data))) + self.end_headers() + self.wfile.write(data) + else: + self.send_error(404) + + def do_POST(self) -> None: + if self.path == "/api/feedback": + length = int(self.headers.get("Content-Length", 0)) + body = self.rfile.read(length) + try: + data = json.loads(body) + if not isinstance(data, dict) or "reviews" not in data: + raise ValueError("Expected JSON object with 'reviews' key") + self.feedback_path.write_text(json.dumps(data, indent=2) + "\n") + resp = b'{"ok":true}' + self.send_response(200) + except (json.JSONDecodeError, OSError, ValueError) as e: + resp = json.dumps({"error": str(e)}).encode() + self.send_response(500) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(resp))) + self.end_headers() + self.wfile.write(resp) + else: + self.send_error(404) + + def log_message(self, format: str, *args: object) -> None: + # Suppress request logging to keep terminal clean + pass + + +def main() -> None: + parser = argparse.ArgumentParser(description="Generate and serve eval review") + parser.add_argument("workspace", type=Path, help="Path to workspace directory") + parser.add_argument("--port", "-p", type=int, default=3117, help="Server port (default: 3117)") + parser.add_argument("--skill-name", "-n", type=str, default=None, help="Skill name for header") + parser.add_argument( + "--previous-workspace", type=Path, default=None, + help="Path to previous iteration's workspace (shows old outputs and feedback as context)", + ) + parser.add_argument( + "--benchmark", type=Path, default=None, + help="Path to benchmark.json to show in the Benchmark tab", + ) + parser.add_argument( + "--static", "-s", type=Path, default=None, + help="Write standalone HTML to this path instead of starting a server", + ) + args = parser.parse_args() + + workspace = args.workspace.resolve() + if not workspace.is_dir(): + print(f"Error: {workspace} is not a directory", file=sys.stderr) + sys.exit(1) + + runs = find_runs(workspace) + if not runs: + print(f"No runs found in {workspace}", file=sys.stderr) + sys.exit(1) + + skill_name = args.skill_name or workspace.name.replace("-workspace", "") + feedback_path = workspace / "feedback.json" + + previous: dict[str, dict] = {} + if args.previous_workspace: + previous = load_previous_iteration(args.previous_workspace.resolve()) + + benchmark_path = args.benchmark.resolve() if args.benchmark else None + benchmark = None + if benchmark_path and benchmark_path.exists(): + try: + benchmark = json.loads(benchmark_path.read_text()) + except (json.JSONDecodeError, OSError): + pass + + if args.static: + html = generate_html(runs, skill_name, previous, benchmark) + args.static.parent.mkdir(parents=True, exist_ok=True) + args.static.write_text(html) + print(f"\n Static viewer written to: {args.static}\n") + sys.exit(0) + + # Kill any existing process on the target port + port = args.port + _kill_port(port) + handler = partial(ReviewHandler, workspace, skill_name, feedback_path, previous, benchmark_path) + try: + server = HTTPServer(("127.0.0.1", port), handler) + except OSError: + # Port still in use after kill attempt — find a free one + server = HTTPServer(("127.0.0.1", 0), handler) + port = server.server_address[1] + + url = f"http://localhost:{port}" + print(f"\n Eval Viewer") + print(f" ─────────────────────────────────") + print(f" URL: {url}") + print(f" Workspace: {workspace}") + print(f" Feedback: {feedback_path}") + if previous: + print(f" Previous: {args.previous_workspace} ({len(previous)} runs)") + if benchmark_path: + print(f" Benchmark: {benchmark_path}") + print(f"\n Press Ctrl+C to stop.\n") + + webbrowser.open(url) + + try: + server.serve_forever() + except KeyboardInterrupt: + print("\nStopped.") + server.server_close() + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/eval-viewer/viewer.html b/.agents/skills/anthropics-skill-creator/eval-viewer/viewer.html new file mode 100644 index 0000000..6d8e963 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/eval-viewer/viewer.html @@ -0,0 +1,1325 @@ + + + + + + Eval Review + + + + + + + +
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+ + + + diff --git a/.agents/skills/anthropics-skill-creator/references/schemas.md b/.agents/skills/anthropics-skill-creator/references/schemas.md new file mode 100644 index 0000000..b6eeaa2 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/references/schemas.md @@ -0,0 +1,430 @@ +# JSON Schemas + +This document defines the JSON schemas used by skill-creator. + +--- + +## evals.json + +Defines the evals for a skill. Located at `evals/evals.json` within the skill directory. + +```json +{ + "skill_name": "example-skill", + "evals": [ + { + "id": 1, + "prompt": "User's example prompt", + "expected_output": "Description of expected result", + "files": ["evals/files/sample1.pdf"], + "expectations": [ + "The output includes X", + "The skill used script Y" + ] + } + ] +} +``` + +**Fields:** +- `skill_name`: Name matching the skill's frontmatter +- `evals[].id`: Unique integer identifier +- `evals[].prompt`: The task to execute +- `evals[].expected_output`: Human-readable description of success +- `evals[].files`: Optional list of input file paths (relative to skill root) +- `evals[].expectations`: List of verifiable statements + +--- + +## history.json + +Tracks version progression in Improve mode. Located at workspace root. + +```json +{ + "started_at": "2026-01-15T10:30:00Z", + "skill_name": "pdf", + "current_best": "v2", + "iterations": [ + { + "version": "v0", + "parent": null, + "expectation_pass_rate": 0.65, + "grading_result": "baseline", + "is_current_best": false + }, + { + "version": "v1", + "parent": "v0", + "expectation_pass_rate": 0.75, + "grading_result": "won", + "is_current_best": false + }, + { + "version": "v2", + "parent": "v1", + "expectation_pass_rate": 0.85, + "grading_result": "won", + "is_current_best": true + } + ] +} +``` + +**Fields:** +- `started_at`: ISO timestamp of when improvement started +- `skill_name`: Name of the skill being improved +- `current_best`: Version identifier of the best performer +- `iterations[].version`: Version identifier (v0, v1, ...) +- `iterations[].parent`: Parent version this was derived from +- `iterations[].expectation_pass_rate`: Pass rate from grading +- `iterations[].grading_result`: "baseline", "won", "lost", or "tie" +- `iterations[].is_current_best`: Whether this is the current best version + +--- + +## grading.json + +Output from the grader agent. Located at `/grading.json`. + +```json +{ + "expectations": [ + { + "text": "The output includes the name 'John Smith'", + "passed": true, + "evidence": "Found in transcript Step 3: 'Extracted names: John Smith, Sarah Johnson'" + }, + { + "text": "The spreadsheet has a SUM formula in cell B10", + "passed": false, + "evidence": "No spreadsheet was created. The output was a text file." + } + ], + "summary": { + "passed": 2, + "failed": 1, + "total": 3, + "pass_rate": 0.67 + }, + "execution_metrics": { + "tool_calls": { + "Read": 5, + "Write": 2, + "Bash": 8 + }, + "total_tool_calls": 15, + "total_steps": 6, + "errors_encountered": 0, + "output_chars": 12450, + "transcript_chars": 3200 + }, + "timing": { + "executor_duration_seconds": 165.0, + "grader_duration_seconds": 26.0, + "total_duration_seconds": 191.0 + }, + "claims": [ + { + "claim": "The form has 12 fillable fields", + "type": "factual", + "verified": true, + "evidence": "Counted 12 fields in field_info.json" + } + ], + "user_notes_summary": { + "uncertainties": ["Used 2023 data, may be stale"], + "needs_review": [], + "workarounds": ["Fell back to text overlay for non-fillable fields"] + }, + "eval_feedback": { + "suggestions": [ + { + "assertion": "The output includes the name 'John Smith'", + "reason": "A hallucinated document that mentions the name would also pass" + } + ], + "overall": "Assertions check presence but not correctness." + } +} +``` + +**Fields:** +- `expectations[]`: Graded expectations with evidence +- `summary`: Aggregate pass/fail counts +- `execution_metrics`: Tool usage and output size (from executor's metrics.json) +- `timing`: Wall clock timing (from timing.json) +- `claims`: Extracted and verified claims from the output +- `user_notes_summary`: Issues flagged by the executor +- `eval_feedback`: (optional) Improvement suggestions for the evals, only present when the grader identifies issues worth raising + +--- + +## metrics.json + +Output from the executor agent. Located at `/outputs/metrics.json`. + +```json +{ + "tool_calls": { + "Read": 5, + "Write": 2, + "Bash": 8, + "Edit": 1, + "Glob": 2, + "Grep": 0 + }, + "total_tool_calls": 18, + "total_steps": 6, + "files_created": ["filled_form.pdf", "field_values.json"], + "errors_encountered": 0, + "output_chars": 12450, + "transcript_chars": 3200 +} +``` + +**Fields:** +- `tool_calls`: Count per tool type +- `total_tool_calls`: Sum of all tool calls +- `total_steps`: Number of major execution steps +- `files_created`: List of output files created +- `errors_encountered`: Number of errors during execution +- `output_chars`: Total character count of output files +- `transcript_chars`: Character count of transcript + +--- + +## timing.json + +Wall clock timing for a run. Located at `/timing.json`. + +**How to capture:** When a subagent task completes, the task notification includes `total_tokens` and `duration_ms`. Save these immediately — they are not persisted anywhere else and cannot be recovered after the fact. + +```json +{ + "total_tokens": 84852, + "duration_ms": 23332, + "total_duration_seconds": 23.3, + "executor_start": "2026-01-15T10:30:00Z", + "executor_end": "2026-01-15T10:32:45Z", + "executor_duration_seconds": 165.0, + "grader_start": "2026-01-15T10:32:46Z", + "grader_end": "2026-01-15T10:33:12Z", + "grader_duration_seconds": 26.0 +} +``` + +--- + +## benchmark.json + +Output from Benchmark mode. Located at `benchmarks//benchmark.json`. + +```json +{ + "metadata": { + "skill_name": "pdf", + "skill_path": "/path/to/pdf", + "executor_model": "claude-sonnet-4-20250514", + "analyzer_model": "most-capable-model", + "timestamp": "2026-01-15T10:30:00Z", + "evals_run": [1, 2, 3], + "runs_per_configuration": 3 + }, + + "runs": [ + { + "eval_id": 1, + "eval_name": "Ocean", + "configuration": "with_skill", + "run_number": 1, + "result": { + "pass_rate": 0.85, + "passed": 6, + "failed": 1, + "total": 7, + "time_seconds": 42.5, + "tokens": 3800, + "tool_calls": 18, + "errors": 0 + }, + "expectations": [ + {"text": "...", "passed": true, "evidence": "..."} + ], + "notes": [ + "Used 2023 data, may be stale", + "Fell back to text overlay for non-fillable fields" + ] + } + ], + + "run_summary": { + "with_skill": { + "pass_rate": {"mean": 0.85, "stddev": 0.05, "min": 0.80, "max": 0.90}, + "time_seconds": {"mean": 45.0, "stddev": 12.0, "min": 32.0, "max": 58.0}, + "tokens": {"mean": 3800, "stddev": 400, "min": 3200, "max": 4100} + }, + "without_skill": { + "pass_rate": {"mean": 0.35, "stddev": 0.08, "min": 0.28, "max": 0.45}, + "time_seconds": {"mean": 32.0, "stddev": 8.0, "min": 24.0, "max": 42.0}, + "tokens": {"mean": 2100, "stddev": 300, "min": 1800, "max": 2500} + }, + "delta": { + "pass_rate": "+0.50", + "time_seconds": "+13.0", + "tokens": "+1700" + } + }, + + "notes": [ + "Assertion 'Output is a PDF file' passes 100% in both configurations - may not differentiate skill value", + "Eval 3 shows high variance (50% ± 40%) - may be flaky or model-dependent", + "Without-skill runs consistently fail on table extraction expectations", + "Skill adds 13s average execution time but improves pass rate by 50%" + ] +} +``` + +**Fields:** +- `metadata`: Information about the benchmark run + - `skill_name`: Name of the skill + - `timestamp`: When the benchmark was run + - `evals_run`: List of eval names or IDs + - `runs_per_configuration`: Number of runs per config (e.g. 3) +- `runs[]`: Individual run results + - `eval_id`: Numeric eval identifier + - `eval_name`: Human-readable eval name (used as section header in the viewer) + - `configuration`: Must be `"with_skill"` or `"without_skill"` (the viewer uses this exact string for grouping and color coding) + - `run_number`: Integer run number (1, 2, 3...) + - `result`: Nested object with `pass_rate`, `passed`, `total`, `time_seconds`, `tokens`, `errors` +- `run_summary`: Statistical aggregates per configuration + - `with_skill` / `without_skill`: Each contains `pass_rate`, `time_seconds`, `tokens` objects with `mean` and `stddev` fields + - `delta`: Difference strings like `"+0.50"`, `"+13.0"`, `"+1700"` +- `notes`: Freeform observations from the analyzer + +**Important:** The viewer reads these field names exactly. Using `config` instead of `configuration`, or putting `pass_rate` at the top level of a run instead of nested under `result`, will cause the viewer to show empty/zero values. Always reference this schema when generating benchmark.json manually. + +--- + +## comparison.json + +Output from blind comparator. Located at `/comparison-N.json`. + +```json +{ + "winner": "A", + "reasoning": "Output A provides a complete solution with proper formatting and all required fields. Output B is missing the date field and has formatting inconsistencies.", + "rubric": { + "A": { + "content": { + "correctness": 5, + "completeness": 5, + "accuracy": 4 + }, + "structure": { + "organization": 4, + "formatting": 5, + "usability": 4 + }, + "content_score": 4.7, + "structure_score": 4.3, + "overall_score": 9.0 + }, + "B": { + "content": { + "correctness": 3, + "completeness": 2, + "accuracy": 3 + }, + "structure": { + "organization": 3, + "formatting": 2, + "usability": 3 + }, + "content_score": 2.7, + "structure_score": 2.7, + "overall_score": 5.4 + } + }, + "output_quality": { + "A": { + "score": 9, + "strengths": ["Complete solution", "Well-formatted", "All fields present"], + "weaknesses": ["Minor style inconsistency in header"] + }, + "B": { + "score": 5, + "strengths": ["Readable output", "Correct basic structure"], + "weaknesses": ["Missing date field", "Formatting inconsistencies", "Partial data extraction"] + } + }, + "expectation_results": { + "A": { + "passed": 4, + "total": 5, + "pass_rate": 0.80, + "details": [ + {"text": "Output includes name", "passed": true} + ] + }, + "B": { + "passed": 3, + "total": 5, + "pass_rate": 0.60, + "details": [ + {"text": "Output includes name", "passed": true} + ] + } + } +} +``` + +--- + +## analysis.json + +Output from post-hoc analyzer. Located at `/analysis.json`. + +```json +{ + "comparison_summary": { + "winner": "A", + "winner_skill": "path/to/winner/skill", + "loser_skill": "path/to/loser/skill", + "comparator_reasoning": "Brief summary of why comparator chose winner" + }, + "winner_strengths": [ + "Clear step-by-step instructions for handling multi-page documents", + "Included validation script that caught formatting errors" + ], + "loser_weaknesses": [ + "Vague instruction 'process the document appropriately' led to inconsistent behavior", + "No script for validation, agent had to improvise" + ], + "instruction_following": { + "winner": { + "score": 9, + "issues": ["Minor: skipped optional logging step"] + }, + "loser": { + "score": 6, + "issues": [ + "Did not use the skill's formatting template", + "Invented own approach instead of following step 3" + ] + } + }, + "improvement_suggestions": [ + { + "priority": "high", + "category": "instructions", + "suggestion": "Replace 'process the document appropriately' with explicit steps", + "expected_impact": "Would eliminate ambiguity that caused inconsistent behavior" + } + ], + "transcript_insights": { + "winner_execution_pattern": "Read skill -> Followed 5-step process -> Used validation script", + "loser_execution_pattern": "Read skill -> Unclear on approach -> Tried 3 different methods" + } +} +``` diff --git a/.agents/skills/anthropics-skill-creator/scripts/__init__.py b/.agents/skills/anthropics-skill-creator/scripts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/.agents/skills/anthropics-skill-creator/scripts/aggregate_benchmark.py b/.agents/skills/anthropics-skill-creator/scripts/aggregate_benchmark.py new file mode 100644 index 0000000..3e66e8c --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/aggregate_benchmark.py @@ -0,0 +1,401 @@ +#!/usr/bin/env python3 +""" +Aggregate individual run results into benchmark summary statistics. + +Reads grading.json files from run directories and produces: +- run_summary with mean, stddev, min, max for each metric +- delta between with_skill and without_skill configurations + +Usage: + python aggregate_benchmark.py + +Example: + python aggregate_benchmark.py benchmarks/2026-01-15T10-30-00/ + +The script supports two directory layouts: + + Workspace layout (from skill-creator iterations): + / + └── eval-N/ + ├── with_skill/ + │ ├── run-1/grading.json + │ └── run-2/grading.json + └── without_skill/ + ├── run-1/grading.json + └── run-2/grading.json + + Legacy layout (with runs/ subdirectory): + / + └── runs/ + └── eval-N/ + ├── with_skill/ + │ └── run-1/grading.json + └── without_skill/ + └── run-1/grading.json +""" + +import argparse +import json +import math +import sys +from datetime import datetime, timezone +from pathlib import Path + + +def calculate_stats(values: list[float]) -> dict: + """Calculate mean, stddev, min, max for a list of values.""" + if not values: + return {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0} + + n = len(values) + mean = sum(values) / n + + if n > 1: + variance = sum((x - mean) ** 2 for x in values) / (n - 1) + stddev = math.sqrt(variance) + else: + stddev = 0.0 + + return { + "mean": round(mean, 4), + "stddev": round(stddev, 4), + "min": round(min(values), 4), + "max": round(max(values), 4) + } + + +def load_run_results(benchmark_dir: Path) -> dict: + """ + Load all run results from a benchmark directory. + + Returns dict keyed by config name (e.g. "with_skill"/"without_skill", + or "new_skill"/"old_skill"), each containing a list of run results. + """ + # Support both layouts: eval dirs directly under benchmark_dir, or under runs/ + runs_dir = benchmark_dir / "runs" + if runs_dir.exists(): + search_dir = runs_dir + elif list(benchmark_dir.glob("eval-*")): + search_dir = benchmark_dir + else: + print(f"No eval directories found in {benchmark_dir} or {benchmark_dir / 'runs'}") + return {} + + results: dict[str, list] = {} + + for eval_idx, eval_dir in enumerate(sorted(search_dir.glob("eval-*"))): + metadata_path = eval_dir / "eval_metadata.json" + if metadata_path.exists(): + try: + with open(metadata_path) as mf: + eval_id = json.load(mf).get("eval_id", eval_idx) + except (json.JSONDecodeError, OSError): + eval_id = eval_idx + else: + try: + eval_id = int(eval_dir.name.split("-")[1]) + except ValueError: + eval_id = eval_idx + + # Discover config directories dynamically rather than hardcoding names + for config_dir in sorted(eval_dir.iterdir()): + if not config_dir.is_dir(): + continue + # Skip non-config directories (inputs, outputs, etc.) + if not list(config_dir.glob("run-*")): + continue + config = config_dir.name + if config not in results: + results[config] = [] + + for run_dir in sorted(config_dir.glob("run-*")): + run_number = int(run_dir.name.split("-")[1]) + grading_file = run_dir / "grading.json" + + if not grading_file.exists(): + print(f"Warning: grading.json not found in {run_dir}") + continue + + try: + with open(grading_file) as f: + grading = json.load(f) + except json.JSONDecodeError as e: + print(f"Warning: Invalid JSON in {grading_file}: {e}") + continue + + # Extract metrics + result = { + "eval_id": eval_id, + "run_number": run_number, + "pass_rate": grading.get("summary", {}).get("pass_rate", 0.0), + "passed": grading.get("summary", {}).get("passed", 0), + "failed": grading.get("summary", {}).get("failed", 0), + "total": grading.get("summary", {}).get("total", 0), + } + + # Extract timing — check grading.json first, then sibling timing.json + timing = grading.get("timing", {}) + result["time_seconds"] = timing.get("total_duration_seconds", 0.0) + timing_file = run_dir / "timing.json" + if result["time_seconds"] == 0.0 and timing_file.exists(): + try: + with open(timing_file) as tf: + timing_data = json.load(tf) + result["time_seconds"] = timing_data.get("total_duration_seconds", 0.0) + result["tokens"] = timing_data.get("total_tokens", 0) + except json.JSONDecodeError: + pass + + # Extract metrics if available + metrics = grading.get("execution_metrics", {}) + result["tool_calls"] = metrics.get("total_tool_calls", 0) + if not result.get("tokens"): + result["tokens"] = metrics.get("output_chars", 0) + result["errors"] = metrics.get("errors_encountered", 0) + + # Extract expectations — viewer requires fields: text, passed, evidence + raw_expectations = grading.get("expectations", []) + for exp in raw_expectations: + if "text" not in exp or "passed" not in exp: + print(f"Warning: expectation in {grading_file} missing required fields (text, passed, evidence): {exp}") + result["expectations"] = raw_expectations + + # Extract notes from user_notes_summary + notes_summary = grading.get("user_notes_summary", {}) + notes = [] + notes.extend(notes_summary.get("uncertainties", [])) + notes.extend(notes_summary.get("needs_review", [])) + notes.extend(notes_summary.get("workarounds", [])) + result["notes"] = notes + + results[config].append(result) + + return results + + +def aggregate_results(results: dict) -> dict: + """ + Aggregate run results into summary statistics. + + Returns run_summary with stats for each configuration and delta. + """ + run_summary = {} + configs = list(results.keys()) + + for config in configs: + runs = results.get(config, []) + + if not runs: + run_summary[config] = { + "pass_rate": {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0}, + "time_seconds": {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0}, + "tokens": {"mean": 0, "stddev": 0, "min": 0, "max": 0} + } + continue + + pass_rates = [r["pass_rate"] for r in runs] + times = [r["time_seconds"] for r in runs] + tokens = [r.get("tokens", 0) for r in runs] + + run_summary[config] = { + "pass_rate": calculate_stats(pass_rates), + "time_seconds": calculate_stats(times), + "tokens": calculate_stats(tokens) + } + + # Calculate delta between the first two configs (if two exist) + if len(configs) >= 2: + primary = run_summary.get(configs[0], {}) + baseline = run_summary.get(configs[1], {}) + else: + primary = run_summary.get(configs[0], {}) if configs else {} + baseline = {} + + delta_pass_rate = primary.get("pass_rate", {}).get("mean", 0) - baseline.get("pass_rate", {}).get("mean", 0) + delta_time = primary.get("time_seconds", {}).get("mean", 0) - baseline.get("time_seconds", {}).get("mean", 0) + delta_tokens = primary.get("tokens", {}).get("mean", 0) - baseline.get("tokens", {}).get("mean", 0) + + run_summary["delta"] = { + "pass_rate": f"{delta_pass_rate:+.2f}", + "time_seconds": f"{delta_time:+.1f}", + "tokens": f"{delta_tokens:+.0f}" + } + + return run_summary + + +def generate_benchmark(benchmark_dir: Path, skill_name: str = "", skill_path: str = "") -> dict: + """ + Generate complete benchmark.json from run results. + """ + results = load_run_results(benchmark_dir) + run_summary = aggregate_results(results) + + # Build runs array for benchmark.json + runs = [] + for config in results: + for result in results[config]: + runs.append({ + "eval_id": result["eval_id"], + "configuration": config, + "run_number": result["run_number"], + "result": { + "pass_rate": result["pass_rate"], + "passed": result["passed"], + "failed": result["failed"], + "total": result["total"], + "time_seconds": result["time_seconds"], + "tokens": result.get("tokens", 0), + "tool_calls": result.get("tool_calls", 0), + "errors": result.get("errors", 0) + }, + "expectations": result["expectations"], + "notes": result["notes"] + }) + + # Determine eval IDs from results + eval_ids = sorted(set( + r["eval_id"] + for config in results.values() + for r in config + )) + + benchmark = { + "metadata": { + "skill_name": skill_name or "", + "skill_path": skill_path or "", + "executor_model": "", + "analyzer_model": "", + "timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"), + "evals_run": eval_ids, + "runs_per_configuration": 3 + }, + "runs": runs, + "run_summary": run_summary, + "notes": [] # To be filled by analyzer + } + + return benchmark + + +def generate_markdown(benchmark: dict) -> str: + """Generate human-readable benchmark.md from benchmark data.""" + metadata = benchmark["metadata"] + run_summary = benchmark["run_summary"] + + # Determine config names (excluding "delta") + configs = [k for k in run_summary if k != "delta"] + config_a = configs[0] if len(configs) >= 1 else "config_a" + config_b = configs[1] if len(configs) >= 2 else "config_b" + label_a = config_a.replace("_", " ").title() + label_b = config_b.replace("_", " ").title() + + lines = [ + f"# Skill Benchmark: {metadata['skill_name']}", + "", + f"**Model**: {metadata['executor_model']}", + f"**Date**: {metadata['timestamp']}", + f"**Evals**: {', '.join(map(str, metadata['evals_run']))} ({metadata['runs_per_configuration']} runs each per configuration)", + "", + "## Summary", + "", + f"| Metric | {label_a} | {label_b} | Delta |", + "|--------|------------|---------------|-------|", + ] + + a_summary = run_summary.get(config_a, {}) + b_summary = run_summary.get(config_b, {}) + delta = run_summary.get("delta", {}) + + # Format pass rate + a_pr = a_summary.get("pass_rate", {}) + b_pr = b_summary.get("pass_rate", {}) + lines.append(f"| Pass Rate | {a_pr.get('mean', 0)*100:.0f}% ± {a_pr.get('stddev', 0)*100:.0f}% | {b_pr.get('mean', 0)*100:.0f}% ± {b_pr.get('stddev', 0)*100:.0f}% | {delta.get('pass_rate', '—')} |") + + # Format time + a_time = a_summary.get("time_seconds", {}) + b_time = b_summary.get("time_seconds", {}) + lines.append(f"| Time | {a_time.get('mean', 0):.1f}s ± {a_time.get('stddev', 0):.1f}s | {b_time.get('mean', 0):.1f}s ± {b_time.get('stddev', 0):.1f}s | {delta.get('time_seconds', '—')}s |") + + # Format tokens + a_tokens = a_summary.get("tokens", {}) + b_tokens = b_summary.get("tokens", {}) + lines.append(f"| Tokens | {a_tokens.get('mean', 0):.0f} ± {a_tokens.get('stddev', 0):.0f} | {b_tokens.get('mean', 0):.0f} ± {b_tokens.get('stddev', 0):.0f} | {delta.get('tokens', '—')} |") + + # Notes section + if benchmark.get("notes"): + lines.extend([ + "", + "## Notes", + "" + ]) + for note in benchmark["notes"]: + lines.append(f"- {note}") + + return "\n".join(lines) + + +def main(): + parser = argparse.ArgumentParser( + description="Aggregate benchmark run results into summary statistics" + ) + parser.add_argument( + "benchmark_dir", + type=Path, + help="Path to the benchmark directory" + ) + parser.add_argument( + "--skill-name", + default="", + help="Name of the skill being benchmarked" + ) + parser.add_argument( + "--skill-path", + default="", + help="Path to the skill being benchmarked" + ) + parser.add_argument( + "--output", "-o", + type=Path, + help="Output path for benchmark.json (default: /benchmark.json)" + ) + + args = parser.parse_args() + + if not args.benchmark_dir.exists(): + print(f"Directory not found: {args.benchmark_dir}") + sys.exit(1) + + # Generate benchmark + benchmark = generate_benchmark(args.benchmark_dir, args.skill_name, args.skill_path) + + # Determine output paths + output_json = args.output or (args.benchmark_dir / "benchmark.json") + output_md = output_json.with_suffix(".md") + + # Write benchmark.json + with open(output_json, "w") as f: + json.dump(benchmark, f, indent=2) + print(f"Generated: {output_json}") + + # Write benchmark.md + markdown = generate_markdown(benchmark) + with open(output_md, "w") as f: + f.write(markdown) + print(f"Generated: {output_md}") + + # Print summary + run_summary = benchmark["run_summary"] + configs = [k for k in run_summary if k != "delta"] + delta = run_summary.get("delta", {}) + + print(f"\nSummary:") + for config in configs: + pr = run_summary[config]["pass_rate"]["mean"] + label = config.replace("_", " ").title() + print(f" {label}: {pr*100:.1f}% pass rate") + print(f" Delta: {delta.get('pass_rate', '—')}") + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/generate_report.py b/.agents/skills/anthropics-skill-creator/scripts/generate_report.py new file mode 100644 index 0000000..959e30a --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/generate_report.py @@ -0,0 +1,326 @@ +#!/usr/bin/env python3 +"""Generate an HTML report from run_loop.py output. + +Takes the JSON output from run_loop.py and generates a visual HTML report +showing each description attempt with check/x for each test case. +Distinguishes between train and test queries. +""" + +import argparse +import html +import json +import sys +from pathlib import Path + + +def generate_html(data: dict, auto_refresh: bool = False, skill_name: str = "") -> str: + """Generate HTML report from loop output data. If auto_refresh is True, adds a meta refresh tag.""" + history = data.get("history", []) + holdout = data.get("holdout", 0) + title_prefix = html.escape(skill_name + " \u2014 ") if skill_name else "" + + # Get all unique queries from train and test sets, with should_trigger info + train_queries: list[dict] = [] + test_queries: list[dict] = [] + if history: + for r in history[0].get("train_results", history[0].get("results", [])): + train_queries.append({"query": r["query"], "should_trigger": r.get("should_trigger", True)}) + if history[0].get("test_results"): + for r in history[0].get("test_results", []): + test_queries.append({"query": r["query"], "should_trigger": r.get("should_trigger", True)}) + + refresh_tag = ' \n' if auto_refresh else "" + + html_parts = [""" + + + +""" + refresh_tag + """ """ + title_prefix + """Skill Description Optimization + + + + + + +

""" + title_prefix + """Skill Description Optimization

+
+ Optimizing your skill's description. This page updates automatically as Claude tests different versions of your skill's description. Each row is an iteration — a new description attempt. The columns show test queries: green checkmarks mean the skill triggered correctly (or correctly didn't trigger), red crosses mean it got it wrong. The "Train" score shows performance on queries used to improve the description; the "Test" score shows performance on held-out queries the optimizer hasn't seen. When it's done, Claude will apply the best-performing description to your skill. +
+"""] + + # Summary section + best_test_score = data.get('best_test_score') + best_train_score = data.get('best_train_score') + html_parts.append(f""" +
+

Original: {html.escape(data.get('original_description', 'N/A'))}

+

Best: {html.escape(data.get('best_description', 'N/A'))}

+

Best Score: {data.get('best_score', 'N/A')} {'(test)' if best_test_score else '(train)'}

+

Iterations: {data.get('iterations_run', 0)} | Train: {data.get('train_size', '?')} | Test: {data.get('test_size', '?')}

+
+""") + + # Legend + html_parts.append(""" +
+ Query columns: + Should trigger + Should NOT trigger + Train + Test +
+""") + + # Table header + html_parts.append(""" +
+ + + + + + + +""") + + # Add column headers for train queries + for qinfo in train_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f' \n') + + # Add column headers for test queries (different color) + for qinfo in test_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f' \n') + + html_parts.append(""" + + +""") + + # Find best iteration for highlighting + if test_queries: + best_iter = max(history, key=lambda h: h.get("test_passed") or 0).get("iteration") + else: + best_iter = max(history, key=lambda h: h.get("train_passed", h.get("passed", 0))).get("iteration") + + # Add rows for each iteration + for h in history: + iteration = h.get("iteration", "?") + train_passed = h.get("train_passed", h.get("passed", 0)) + train_total = h.get("train_total", h.get("total", 0)) + test_passed = h.get("test_passed") + test_total = h.get("test_total") + description = h.get("description", "") + train_results = h.get("train_results", h.get("results", [])) + test_results = h.get("test_results", []) + + # Create lookups for results by query + train_by_query = {r["query"]: r for r in train_results} + test_by_query = {r["query"]: r for r in test_results} if test_results else {} + + # Compute aggregate correct/total runs across all retries + def aggregate_runs(results: list[dict]) -> tuple[int, int]: + correct = 0 + total = 0 + for r in results: + runs = r.get("runs", 0) + triggers = r.get("triggers", 0) + total += runs + if r.get("should_trigger", True): + correct += triggers + else: + correct += runs - triggers + return correct, total + + train_correct, train_runs = aggregate_runs(train_results) + test_correct, test_runs = aggregate_runs(test_results) + + # Determine score classes + def score_class(correct: int, total: int) -> str: + if total > 0: + ratio = correct / total + if ratio >= 0.8: + return "score-good" + elif ratio >= 0.5: + return "score-ok" + return "score-bad" + + train_class = score_class(train_correct, train_runs) + test_class = score_class(test_correct, test_runs) + + row_class = "best-row" if iteration == best_iter else "" + + html_parts.append(f""" + + + + +""") + + # Add result for each train query + for qinfo in train_queries: + r = train_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f' \n') + + # Add result for each test query (with different background) + for qinfo in test_queries: + r = test_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f' \n') + + html_parts.append(" \n") + + html_parts.append(""" +
IterTrainTestDescription{html.escape(qinfo["query"])}{html.escape(qinfo["query"])}
{iteration}{train_correct}/{train_runs}{test_correct}/{test_runs}{html.escape(description)}{icon}{triggers}/{runs}{icon}{triggers}/{runs}
+
+""") + + html_parts.append(""" + + +""") + + return "".join(html_parts) + + +def main(): + parser = argparse.ArgumentParser(description="Generate HTML report from run_loop output") + parser.add_argument("input", help="Path to JSON output from run_loop.py (or - for stdin)") + parser.add_argument("-o", "--output", default=None, help="Output HTML file (default: stdout)") + parser.add_argument("--skill-name", default="", help="Skill name to include in the report title") + args = parser.parse_args() + + if args.input == "-": + data = json.load(sys.stdin) + else: + data = json.loads(Path(args.input).read_text()) + + html_output = generate_html(data, skill_name=args.skill_name) + + if args.output: + Path(args.output).write_text(html_output) + print(f"Report written to {args.output}", file=sys.stderr) + else: + print(html_output) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/improve_description.py b/.agents/skills/anthropics-skill-creator/scripts/improve_description.py new file mode 100644 index 0000000..a270777 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/improve_description.py @@ -0,0 +1,248 @@ +#!/usr/bin/env python3 +"""Improve a skill description based on eval results. + +Takes eval results (from run_eval.py) and generates an improved description +using Claude with extended thinking. +""" + +import argparse +import json +import re +import sys +from pathlib import Path + +import anthropic + +from scripts.utils import parse_skill_md + + +def improve_description( + client: anthropic.Anthropic, + skill_name: str, + skill_content: str, + current_description: str, + eval_results: dict, + history: list[dict], + model: str, + test_results: dict | None = None, + log_dir: Path | None = None, + iteration: int | None = None, +) -> str: + """Call Claude to improve the description based on eval results.""" + failed_triggers = [ + r for r in eval_results["results"] + if r["should_trigger"] and not r["pass"] + ] + false_triggers = [ + r for r in eval_results["results"] + if not r["should_trigger"] and not r["pass"] + ] + + # Build scores summary + train_score = f"{eval_results['summary']['passed']}/{eval_results['summary']['total']}" + if test_results: + test_score = f"{test_results['summary']['passed']}/{test_results['summary']['total']}" + scores_summary = f"Train: {train_score}, Test: {test_score}" + else: + scores_summary = f"Train: {train_score}" + + prompt = f"""You are optimizing a skill description for a Claude Code skill called "{skill_name}". A "skill" is sort of like a prompt, but with progressive disclosure -- there's a title and description that Claude sees when deciding whether to use the skill, and then if it does use the skill, it reads the .md file which has lots more details and potentially links to other resources in the skill folder like helper files and scripts and additional documentation or examples. + +The description appears in Claude's "available_skills" list. When a user sends a query, Claude decides whether to invoke the skill based solely on the title and on this description. Your goal is to write a description that triggers for relevant queries, and doesn't trigger for irrelevant ones. + +Here's the current description: + +"{current_description}" + + +Current scores ({scores_summary}): + +""" + if failed_triggers: + prompt += "FAILED TO TRIGGER (should have triggered but didn't):\n" + for r in failed_triggers: + prompt += f' - "{r["query"]}" (triggered {r["triggers"]}/{r["runs"]} times)\n' + prompt += "\n" + + if false_triggers: + prompt += "FALSE TRIGGERS (triggered but shouldn't have):\n" + for r in false_triggers: + prompt += f' - "{r["query"]}" (triggered {r["triggers"]}/{r["runs"]} times)\n' + prompt += "\n" + + if history: + prompt += "PREVIOUS ATTEMPTS (do NOT repeat these — try something structurally different):\n\n" + for h in history: + train_s = f"{h.get('train_passed', h.get('passed', 0))}/{h.get('train_total', h.get('total', 0))}" + test_s = f"{h.get('test_passed', '?')}/{h.get('test_total', '?')}" if h.get('test_passed') is not None else None + score_str = f"train={train_s}" + (f", test={test_s}" if test_s else "") + prompt += f'\n' + prompt += f'Description: "{h["description"]}"\n' + if "results" in h: + prompt += "Train results:\n" + for r in h["results"]: + status = "PASS" if r["pass"] else "FAIL" + prompt += f' [{status}] "{r["query"][:80]}" (triggered {r["triggers"]}/{r["runs"]})\n' + if h.get("note"): + prompt += f'Note: {h["note"]}\n' + prompt += "\n\n" + + prompt += f""" + +Skill content (for context on what the skill does): + +{skill_content} + + +Based on the failures, write a new and improved description that is more likely to trigger correctly. When I say "based on the failures", it's a bit of a tricky line to walk because we don't want to overfit to the specific cases you're seeing. So what I DON'T want you to do is produce an ever-expanding list of specific queries that this skill should or shouldn't trigger for. Instead, try to generalize from the failures to broader categories of user intent and situations where this skill would be useful or not useful. The reason for this is twofold: + +1. Avoid overfitting +2. The list might get loooong and it's injected into ALL queries and there might be a lot of skills, so we don't want to blow too much space on any given description. + +Concretely, your description should not be more than about 100-200 words, even if that comes at the cost of accuracy. + +Here are some tips that we've found to work well in writing these descriptions: +- The skill should be phrased in the imperative -- "Use this skill for" rather than "this skill does" +- The skill description should focus on the user's intent, what they are trying to achieve, vs. the implementation details of how the skill works. +- The description competes with other skills for Claude's attention — make it distinctive and immediately recognizable. +- If you're getting lots of failures after repeated attempts, change things up. Try different sentence structures or wordings. + +I'd encourage you to be creative and mix up the style in different iterations since you'll have multiple opportunities to try different approaches and we'll just grab the highest-scoring one at the end. + +Please respond with only the new description text in tags, nothing else.""" + + response = client.messages.create( + model=model, + max_tokens=16000, + thinking={ + "type": "enabled", + "budget_tokens": 10000, + }, + messages=[{"role": "user", "content": prompt}], + ) + + # Extract thinking and text from response + thinking_text = "" + text = "" + for block in response.content: + if block.type == "thinking": + thinking_text = block.thinking + elif block.type == "text": + text = block.text + + # Parse out the tags + match = re.search(r"(.*?)", text, re.DOTALL) + description = match.group(1).strip().strip('"') if match else text.strip().strip('"') + + # Log the transcript + transcript: dict = { + "iteration": iteration, + "prompt": prompt, + "thinking": thinking_text, + "response": text, + "parsed_description": description, + "char_count": len(description), + "over_limit": len(description) > 1024, + } + + # If over 1024 chars, ask the model to shorten it + if len(description) > 1024: + shorten_prompt = f"Your description is {len(description)} characters, which exceeds the hard 1024 character limit. Please rewrite it to be under 1024 characters while preserving the most important trigger words and intent coverage. Respond with only the new description in tags." + shorten_response = client.messages.create( + model=model, + max_tokens=16000, + thinking={ + "type": "enabled", + "budget_tokens": 10000, + }, + messages=[ + {"role": "user", "content": prompt}, + {"role": "assistant", "content": text}, + {"role": "user", "content": shorten_prompt}, + ], + ) + + shorten_thinking = "" + shorten_text = "" + for block in shorten_response.content: + if block.type == "thinking": + shorten_thinking = block.thinking + elif block.type == "text": + shorten_text = block.text + + match = re.search(r"(.*?)", shorten_text, re.DOTALL) + shortened = match.group(1).strip().strip('"') if match else shorten_text.strip().strip('"') + + transcript["rewrite_prompt"] = shorten_prompt + transcript["rewrite_thinking"] = shorten_thinking + transcript["rewrite_response"] = shorten_text + transcript["rewrite_description"] = shortened + transcript["rewrite_char_count"] = len(shortened) + description = shortened + + transcript["final_description"] = description + + if log_dir: + log_dir.mkdir(parents=True, exist_ok=True) + log_file = log_dir / f"improve_iter_{iteration or 'unknown'}.json" + log_file.write_text(json.dumps(transcript, indent=2)) + + return description + + +def main(): + parser = argparse.ArgumentParser(description="Improve a skill description based on eval results") + parser.add_argument("--eval-results", required=True, help="Path to eval results JSON (from run_eval.py)") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--history", default=None, help="Path to history JSON (previous attempts)") + parser.add_argument("--model", required=True, help="Model for improvement") + parser.add_argument("--verbose", action="store_true", help="Print thinking to stderr") + args = parser.parse_args() + + skill_path = Path(args.skill_path) + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + eval_results = json.loads(Path(args.eval_results).read_text()) + history = [] + if args.history: + history = json.loads(Path(args.history).read_text()) + + name, _, content = parse_skill_md(skill_path) + current_description = eval_results["description"] + + if args.verbose: + print(f"Current: {current_description}", file=sys.stderr) + print(f"Score: {eval_results['summary']['passed']}/{eval_results['summary']['total']}", file=sys.stderr) + + client = anthropic.Anthropic() + new_description = improve_description( + client=client, + skill_name=name, + skill_content=content, + current_description=current_description, + eval_results=eval_results, + history=history, + model=args.model, + ) + + if args.verbose: + print(f"Improved: {new_description}", file=sys.stderr) + + # Output as JSON with both the new description and updated history + output = { + "description": new_description, + "history": history + [{ + "description": current_description, + "passed": eval_results["summary"]["passed"], + "failed": eval_results["summary"]["failed"], + "total": eval_results["summary"]["total"], + "results": eval_results["results"], + }], + } + print(json.dumps(output, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/package_skill.py b/.agents/skills/anthropics-skill-creator/scripts/package_skill.py new file mode 100644 index 0000000..f48eac4 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/package_skill.py @@ -0,0 +1,136 @@ +#!/usr/bin/env python3 +""" +Skill Packager - Creates a distributable .skill file of a skill folder + +Usage: + python utils/package_skill.py [output-directory] + +Example: + python utils/package_skill.py skills/public/my-skill + python utils/package_skill.py skills/public/my-skill ./dist +""" + +import fnmatch +import sys +import zipfile +from pathlib import Path +from scripts.quick_validate import validate_skill + +# Patterns to exclude when packaging skills. +EXCLUDE_DIRS = {"__pycache__", "node_modules"} +EXCLUDE_GLOBS = {"*.pyc"} +EXCLUDE_FILES = {".DS_Store"} +# Directories excluded only at the skill root (not when nested deeper). +ROOT_EXCLUDE_DIRS = {"evals"} + + +def should_exclude(rel_path: Path) -> bool: + """Check if a path should be excluded from packaging.""" + parts = rel_path.parts + if any(part in EXCLUDE_DIRS for part in parts): + return True + # rel_path is relative to skill_path.parent, so parts[0] is the skill + # folder name and parts[1] (if present) is the first subdir. + if len(parts) > 1 and parts[1] in ROOT_EXCLUDE_DIRS: + return True + name = rel_path.name + if name in EXCLUDE_FILES: + return True + return any(fnmatch.fnmatch(name, pat) for pat in EXCLUDE_GLOBS) + + +def package_skill(skill_path, output_dir=None): + """ + Package a skill folder into a .skill file. + + Args: + skill_path: Path to the skill folder + output_dir: Optional output directory for the .skill file (defaults to current directory) + + Returns: + Path to the created .skill file, or None if error + """ + skill_path = Path(skill_path).resolve() + + # Validate skill folder exists + if not skill_path.exists(): + print(f"❌ Error: Skill folder not found: {skill_path}") + return None + + if not skill_path.is_dir(): + print(f"❌ Error: Path is not a directory: {skill_path}") + return None + + # Validate SKILL.md exists + skill_md = skill_path / "SKILL.md" + if not skill_md.exists(): + print(f"❌ Error: SKILL.md not found in {skill_path}") + return None + + # Run validation before packaging + print("🔍 Validating skill...") + valid, message = validate_skill(skill_path) + if not valid: + print(f"❌ Validation failed: {message}") + print(" Please fix the validation errors before packaging.") + return None + print(f"✅ {message}\n") + + # Determine output location + skill_name = skill_path.name + if output_dir: + output_path = Path(output_dir).resolve() + output_path.mkdir(parents=True, exist_ok=True) + else: + output_path = Path.cwd() + + skill_filename = output_path / f"{skill_name}.skill" + + # Create the .skill file (zip format) + try: + with zipfile.ZipFile(skill_filename, 'w', zipfile.ZIP_DEFLATED) as zipf: + # Walk through the skill directory, excluding build artifacts + for file_path in skill_path.rglob('*'): + if not file_path.is_file(): + continue + arcname = file_path.relative_to(skill_path.parent) + if should_exclude(arcname): + print(f" Skipped: {arcname}") + continue + zipf.write(file_path, arcname) + print(f" Added: {arcname}") + + print(f"\n✅ Successfully packaged skill to: {skill_filename}") + return skill_filename + + except Exception as e: + print(f"❌ Error creating .skill file: {e}") + return None + + +def main(): + if len(sys.argv) < 2: + print("Usage: python utils/package_skill.py [output-directory]") + print("\nExample:") + print(" python utils/package_skill.py skills/public/my-skill") + print(" python utils/package_skill.py skills/public/my-skill ./dist") + sys.exit(1) + + skill_path = sys.argv[1] + output_dir = sys.argv[2] if len(sys.argv) > 2 else None + + print(f"📦 Packaging skill: {skill_path}") + if output_dir: + print(f" Output directory: {output_dir}") + print() + + result = package_skill(skill_path, output_dir) + + if result: + sys.exit(0) + else: + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/quick_validate.py b/.agents/skills/anthropics-skill-creator/scripts/quick_validate.py new file mode 100644 index 0000000..ed8e1dd --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/quick_validate.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +""" +Quick validation script for skills - minimal version +""" + +import sys +import os +import re +import yaml +from pathlib import Path + +def validate_skill(skill_path): + """Basic validation of a skill""" + skill_path = Path(skill_path) + + # Check SKILL.md exists + skill_md = skill_path / 'SKILL.md' + if not skill_md.exists(): + return False, "SKILL.md not found" + + # Read and validate frontmatter + content = skill_md.read_text() + if not content.startswith('---'): + return False, "No YAML frontmatter found" + + # Extract frontmatter + match = re.match(r'^---\n(.*?)\n---', content, re.DOTALL) + if not match: + return False, "Invalid frontmatter format" + + frontmatter_text = match.group(1) + + # Parse YAML frontmatter + try: + frontmatter = yaml.safe_load(frontmatter_text) + if not isinstance(frontmatter, dict): + return False, "Frontmatter must be a YAML dictionary" + except yaml.YAMLError as e: + return False, f"Invalid YAML in frontmatter: {e}" + + # Define allowed properties + ALLOWED_PROPERTIES = {'name', 'description', 'license', 'allowed-tools', 'metadata', 'compatibility'} + + # Check for unexpected properties (excluding nested keys under metadata) + unexpected_keys = set(frontmatter.keys()) - ALLOWED_PROPERTIES + if unexpected_keys: + return False, ( + f"Unexpected key(s) in SKILL.md frontmatter: {', '.join(sorted(unexpected_keys))}. " + f"Allowed properties are: {', '.join(sorted(ALLOWED_PROPERTIES))}" + ) + + # Check required fields + if 'name' not in frontmatter: + return False, "Missing 'name' in frontmatter" + if 'description' not in frontmatter: + return False, "Missing 'description' in frontmatter" + + # Extract name for validation + name = frontmatter.get('name', '') + if not isinstance(name, str): + return False, f"Name must be a string, got {type(name).__name__}" + name = name.strip() + if name: + # Check naming convention (kebab-case: lowercase with hyphens) + if not re.match(r'^[a-z0-9-]+$', name): + return False, f"Name '{name}' should be kebab-case (lowercase letters, digits, and hyphens only)" + if name.startswith('-') or name.endswith('-') or '--' in name: + return False, f"Name '{name}' cannot start/end with hyphen or contain consecutive hyphens" + # Check name length (max 64 characters per spec) + if len(name) > 64: + return False, f"Name is too long ({len(name)} characters). Maximum is 64 characters." + + # Extract and validate description + description = frontmatter.get('description', '') + if not isinstance(description, str): + return False, f"Description must be a string, got {type(description).__name__}" + description = description.strip() + if description: + # Check for angle brackets + if '<' in description or '>' in description: + return False, "Description cannot contain angle brackets (< or >)" + # Check description length (max 1024 characters per spec) + if len(description) > 1024: + return False, f"Description is too long ({len(description)} characters). Maximum is 1024 characters." + + # Validate compatibility field if present (optional) + compatibility = frontmatter.get('compatibility', '') + if compatibility: + if not isinstance(compatibility, str): + return False, f"Compatibility must be a string, got {type(compatibility).__name__}" + if len(compatibility) > 500: + return False, f"Compatibility is too long ({len(compatibility)} characters). Maximum is 500 characters." + + return True, "Skill is valid!" + +if __name__ == "__main__": + if len(sys.argv) != 2: + print("Usage: python quick_validate.py ") + sys.exit(1) + + valid, message = validate_skill(sys.argv[1]) + print(message) + sys.exit(0 if valid else 1) \ No newline at end of file diff --git a/.agents/skills/anthropics-skill-creator/scripts/run_eval.py b/.agents/skills/anthropics-skill-creator/scripts/run_eval.py new file mode 100644 index 0000000..e58c70b --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/run_eval.py @@ -0,0 +1,310 @@ +#!/usr/bin/env python3 +"""Run trigger evaluation for a skill description. + +Tests whether a skill's description causes Claude to trigger (read the skill) +for a set of queries. Outputs results as JSON. +""" + +import argparse +import json +import os +import select +import subprocess +import sys +import time +import uuid +from concurrent.futures import ProcessPoolExecutor, as_completed +from pathlib import Path + +from scripts.utils import parse_skill_md + + +def find_project_root() -> Path: + """Find the project root by walking up from cwd looking for .claude/. + + Mimics how Claude Code discovers its project root, so the command file + we create ends up where claude -p will look for it. + """ + current = Path.cwd() + for parent in [current, *current.parents]: + if (parent / ".claude").is_dir(): + return parent + return current + + +def run_single_query( + query: str, + skill_name: str, + skill_description: str, + timeout: int, + project_root: str, + model: str | None = None, +) -> bool: + """Run a single query and return whether the skill was triggered. + + Creates a command file in .claude/commands/ so it appears in Claude's + available_skills list, then runs `claude -p` with the raw query. + Uses --include-partial-messages to detect triggering early from + stream events (content_block_start) rather than waiting for the + full assistant message, which only arrives after tool execution. + """ + unique_id = uuid.uuid4().hex[:8] + clean_name = f"{skill_name}-skill-{unique_id}" + project_commands_dir = Path(project_root) / ".claude" / "commands" + command_file = project_commands_dir / f"{clean_name}.md" + + try: + project_commands_dir.mkdir(parents=True, exist_ok=True) + # Use YAML block scalar to avoid breaking on quotes in description + indented_desc = "\n ".join(skill_description.split("\n")) + command_content = ( + f"---\n" + f"description: |\n" + f" {indented_desc}\n" + f"---\n\n" + f"# {skill_name}\n\n" + f"This skill handles: {skill_description}\n" + ) + command_file.write_text(command_content) + + cmd = [ + "claude", + "-p", query, + "--output-format", "stream-json", + "--verbose", + "--include-partial-messages", + ] + if model: + cmd.extend(["--model", model]) + + # Remove CLAUDECODE env var to allow nesting claude -p inside a + # Claude Code session. The guard is for interactive terminal conflicts; + # programmatic subprocess usage is safe. + env = {k: v for k, v in os.environ.items() if k != "CLAUDECODE"} + + process = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.DEVNULL, + cwd=project_root, + env=env, + ) + + triggered = False + start_time = time.time() + buffer = "" + # Track state for stream event detection + pending_tool_name = None + accumulated_json = "" + + try: + while time.time() - start_time < timeout: + if process.poll() is not None: + remaining = process.stdout.read() + if remaining: + buffer += remaining.decode("utf-8", errors="replace") + break + + ready, _, _ = select.select([process.stdout], [], [], 1.0) + if not ready: + continue + + chunk = os.read(process.stdout.fileno(), 8192) + if not chunk: + break + buffer += chunk.decode("utf-8", errors="replace") + + while "\n" in buffer: + line, buffer = buffer.split("\n", 1) + line = line.strip() + if not line: + continue + + try: + event = json.loads(line) + except json.JSONDecodeError: + continue + + # Early detection via stream events + if event.get("type") == "stream_event": + se = event.get("event", {}) + se_type = se.get("type", "") + + if se_type == "content_block_start": + cb = se.get("content_block", {}) + if cb.get("type") == "tool_use": + tool_name = cb.get("name", "") + if tool_name in ("Skill", "Read"): + pending_tool_name = tool_name + accumulated_json = "" + else: + return False + + elif se_type == "content_block_delta" and pending_tool_name: + delta = se.get("delta", {}) + if delta.get("type") == "input_json_delta": + accumulated_json += delta.get("partial_json", "") + if clean_name in accumulated_json: + return True + + elif se_type in ("content_block_stop", "message_stop"): + if pending_tool_name: + return clean_name in accumulated_json + if se_type == "message_stop": + return False + + # Fallback: full assistant message + elif event.get("type") == "assistant": + message = event.get("message", {}) + for content_item in message.get("content", []): + if content_item.get("type") != "tool_use": + continue + tool_name = content_item.get("name", "") + tool_input = content_item.get("input", {}) + if tool_name == "Skill" and clean_name in tool_input.get("skill", ""): + triggered = True + elif tool_name == "Read" and clean_name in tool_input.get("file_path", ""): + triggered = True + return triggered + + elif event.get("type") == "result": + return triggered + finally: + # Clean up process on any exit path (return, exception, timeout) + if process.poll() is None: + process.kill() + process.wait() + + return triggered + finally: + if command_file.exists(): + command_file.unlink() + + +def run_eval( + eval_set: list[dict], + skill_name: str, + description: str, + num_workers: int, + timeout: int, + project_root: Path, + runs_per_query: int = 1, + trigger_threshold: float = 0.5, + model: str | None = None, +) -> dict: + """Run the full eval set and return results.""" + results = [] + + with ProcessPoolExecutor(max_workers=num_workers) as executor: + future_to_info = {} + for item in eval_set: + for run_idx in range(runs_per_query): + future = executor.submit( + run_single_query, + item["query"], + skill_name, + description, + timeout, + str(project_root), + model, + ) + future_to_info[future] = (item, run_idx) + + query_triggers: dict[str, list[bool]] = {} + query_items: dict[str, dict] = {} + for future in as_completed(future_to_info): + item, _ = future_to_info[future] + query = item["query"] + query_items[query] = item + if query not in query_triggers: + query_triggers[query] = [] + try: + query_triggers[query].append(future.result()) + except Exception as e: + print(f"Warning: query failed: {e}", file=sys.stderr) + query_triggers[query].append(False) + + for query, triggers in query_triggers.items(): + item = query_items[query] + trigger_rate = sum(triggers) / len(triggers) + should_trigger = item["should_trigger"] + if should_trigger: + did_pass = trigger_rate >= trigger_threshold + else: + did_pass = trigger_rate < trigger_threshold + results.append({ + "query": query, + "should_trigger": should_trigger, + "trigger_rate": trigger_rate, + "triggers": sum(triggers), + "runs": len(triggers), + "pass": did_pass, + }) + + passed = sum(1 for r in results if r["pass"]) + total = len(results) + + return { + "skill_name": skill_name, + "description": description, + "results": results, + "summary": { + "total": total, + "passed": passed, + "failed": total - passed, + }, + } + + +def main(): + parser = argparse.ArgumentParser(description="Run trigger evaluation for a skill description") + parser.add_argument("--eval-set", required=True, help="Path to eval set JSON file") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--description", default=None, help="Override description to test") + parser.add_argument("--num-workers", type=int, default=10, help="Number of parallel workers") + parser.add_argument("--timeout", type=int, default=30, help="Timeout per query in seconds") + parser.add_argument("--runs-per-query", type=int, default=3, help="Number of runs per query") + parser.add_argument("--trigger-threshold", type=float, default=0.5, help="Trigger rate threshold") + parser.add_argument("--model", default=None, help="Model to use for claude -p (default: user's configured model)") + parser.add_argument("--verbose", action="store_true", help="Print progress to stderr") + args = parser.parse_args() + + eval_set = json.loads(Path(args.eval_set).read_text()) + skill_path = Path(args.skill_path) + + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + name, original_description, content = parse_skill_md(skill_path) + description = args.description or original_description + project_root = find_project_root() + + if args.verbose: + print(f"Evaluating: {description}", file=sys.stderr) + + output = run_eval( + eval_set=eval_set, + skill_name=name, + description=description, + num_workers=args.num_workers, + timeout=args.timeout, + project_root=project_root, + runs_per_query=args.runs_per_query, + trigger_threshold=args.trigger_threshold, + model=args.model, + ) + + if args.verbose: + summary = output["summary"] + print(f"Results: {summary['passed']}/{summary['total']} passed", file=sys.stderr) + for r in output["results"]: + status = "PASS" if r["pass"] else "FAIL" + rate_str = f"{r['triggers']}/{r['runs']}" + print(f" [{status}] rate={rate_str} expected={r['should_trigger']}: {r['query'][:70]}", file=sys.stderr) + + print(json.dumps(output, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/run_loop.py b/.agents/skills/anthropics-skill-creator/scripts/run_loop.py new file mode 100644 index 0000000..36f9b4e --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/run_loop.py @@ -0,0 +1,332 @@ +#!/usr/bin/env python3 +"""Run the eval + improve loop until all pass or max iterations reached. + +Combines run_eval.py and improve_description.py in a loop, tracking history +and returning the best description found. Supports train/test split to prevent +overfitting. +""" + +import argparse +import json +import random +import sys +import tempfile +import time +import webbrowser +from pathlib import Path + +import anthropic + +from scripts.generate_report import generate_html +from scripts.improve_description import improve_description +from scripts.run_eval import find_project_root, run_eval +from scripts.utils import parse_skill_md + + +def split_eval_set(eval_set: list[dict], holdout: float, seed: int = 42) -> tuple[list[dict], list[dict]]: + """Split eval set into train and test sets, stratified by should_trigger.""" + random.seed(seed) + + # Separate by should_trigger + trigger = [e for e in eval_set if e["should_trigger"]] + no_trigger = [e for e in eval_set if not e["should_trigger"]] + + # Shuffle each group + random.shuffle(trigger) + random.shuffle(no_trigger) + + # Calculate split points + n_trigger_test = max(1, int(len(trigger) * holdout)) + n_no_trigger_test = max(1, int(len(no_trigger) * holdout)) + + # Split + test_set = trigger[:n_trigger_test] + no_trigger[:n_no_trigger_test] + train_set = trigger[n_trigger_test:] + no_trigger[n_no_trigger_test:] + + return train_set, test_set + + +def run_loop( + eval_set: list[dict], + skill_path: Path, + description_override: str | None, + num_workers: int, + timeout: int, + max_iterations: int, + runs_per_query: int, + trigger_threshold: float, + holdout: float, + model: str, + verbose: bool, + live_report_path: Path | None = None, + log_dir: Path | None = None, +) -> dict: + """Run the eval + improvement loop.""" + project_root = find_project_root() + name, original_description, content = parse_skill_md(skill_path) + current_description = description_override or original_description + + # Split into train/test if holdout > 0 + if holdout > 0: + train_set, test_set = split_eval_set(eval_set, holdout) + if verbose: + print(f"Split: {len(train_set)} train, {len(test_set)} test (holdout={holdout})", file=sys.stderr) + else: + train_set = eval_set + test_set = [] + + client = anthropic.Anthropic() + history = [] + exit_reason = "unknown" + + for iteration in range(1, max_iterations + 1): + if verbose: + print(f"\n{'='*60}", file=sys.stderr) + print(f"Iteration {iteration}/{max_iterations}", file=sys.stderr) + print(f"Description: {current_description}", file=sys.stderr) + print(f"{'='*60}", file=sys.stderr) + + # Evaluate train + test together in one batch for parallelism + all_queries = train_set + test_set + t0 = time.time() + all_results = run_eval( + eval_set=all_queries, + skill_name=name, + description=current_description, + num_workers=num_workers, + timeout=timeout, + project_root=project_root, + runs_per_query=runs_per_query, + trigger_threshold=trigger_threshold, + model=model, + ) + eval_elapsed = time.time() - t0 + + # Split results back into train/test by matching queries + train_queries_set = {q["query"] for q in train_set} + train_result_list = [r for r in all_results["results"] if r["query"] in train_queries_set] + test_result_list = [r for r in all_results["results"] if r["query"] not in train_queries_set] + + train_passed = sum(1 for r in train_result_list if r["pass"]) + train_total = len(train_result_list) + train_summary = {"passed": train_passed, "failed": train_total - train_passed, "total": train_total} + train_results = {"results": train_result_list, "summary": train_summary} + + if test_set: + test_passed = sum(1 for r in test_result_list if r["pass"]) + test_total = len(test_result_list) + test_summary = {"passed": test_passed, "failed": test_total - test_passed, "total": test_total} + test_results = {"results": test_result_list, "summary": test_summary} + else: + test_results = None + test_summary = None + + history.append({ + "iteration": iteration, + "description": current_description, + "train_passed": train_summary["passed"], + "train_failed": train_summary["failed"], + "train_total": train_summary["total"], + "train_results": train_results["results"], + "test_passed": test_summary["passed"] if test_summary else None, + "test_failed": test_summary["failed"] if test_summary else None, + "test_total": test_summary["total"] if test_summary else None, + "test_results": test_results["results"] if test_results else None, + # For backward compat with report generator + "passed": train_summary["passed"], + "failed": train_summary["failed"], + "total": train_summary["total"], + "results": train_results["results"], + }) + + # Write live report if path provided + if live_report_path: + partial_output = { + "original_description": original_description, + "best_description": current_description, + "best_score": "in progress", + "iterations_run": len(history), + "holdout": holdout, + "train_size": len(train_set), + "test_size": len(test_set), + "history": history, + } + live_report_path.write_text(generate_html(partial_output, auto_refresh=True, skill_name=name)) + + if verbose: + def print_eval_stats(label, results, elapsed): + pos = [r for r in results if r["should_trigger"]] + neg = [r for r in results if not r["should_trigger"]] + tp = sum(r["triggers"] for r in pos) + pos_runs = sum(r["runs"] for r in pos) + fn = pos_runs - tp + fp = sum(r["triggers"] for r in neg) + neg_runs = sum(r["runs"] for r in neg) + tn = neg_runs - fp + total = tp + tn + fp + fn + precision = tp / (tp + fp) if (tp + fp) > 0 else 1.0 + recall = tp / (tp + fn) if (tp + fn) > 0 else 1.0 + accuracy = (tp + tn) / total if total > 0 else 0.0 + print(f"{label}: {tp+tn}/{total} correct, precision={precision:.0%} recall={recall:.0%} accuracy={accuracy:.0%} ({elapsed:.1f}s)", file=sys.stderr) + for r in results: + status = "PASS" if r["pass"] else "FAIL" + rate_str = f"{r['triggers']}/{r['runs']}" + print(f" [{status}] rate={rate_str} expected={r['should_trigger']}: {r['query'][:60]}", file=sys.stderr) + + print_eval_stats("Train", train_results["results"], eval_elapsed) + if test_summary: + print_eval_stats("Test ", test_results["results"], 0) + + if train_summary["failed"] == 0: + exit_reason = f"all_passed (iteration {iteration})" + if verbose: + print(f"\nAll train queries passed on iteration {iteration}!", file=sys.stderr) + break + + if iteration == max_iterations: + exit_reason = f"max_iterations ({max_iterations})" + if verbose: + print(f"\nMax iterations reached ({max_iterations}).", file=sys.stderr) + break + + # Improve the description based on train results + if verbose: + print(f"\nImproving description...", file=sys.stderr) + + t0 = time.time() + # Strip test scores from history so improvement model can't see them + blinded_history = [ + {k: v for k, v in h.items() if not k.startswith("test_")} + for h in history + ] + new_description = improve_description( + client=client, + skill_name=name, + skill_content=content, + current_description=current_description, + eval_results=train_results, + history=blinded_history, + model=model, + log_dir=log_dir, + iteration=iteration, + ) + improve_elapsed = time.time() - t0 + + if verbose: + print(f"Proposed ({improve_elapsed:.1f}s): {new_description}", file=sys.stderr) + + current_description = new_description + + # Find the best iteration by TEST score (or train if no test set) + if test_set: + best = max(history, key=lambda h: h["test_passed"] or 0) + best_score = f"{best['test_passed']}/{best['test_total']}" + else: + best = max(history, key=lambda h: h["train_passed"]) + best_score = f"{best['train_passed']}/{best['train_total']}" + + if verbose: + print(f"\nExit reason: {exit_reason}", file=sys.stderr) + print(f"Best score: {best_score} (iteration {best['iteration']})", file=sys.stderr) + + return { + "exit_reason": exit_reason, + "original_description": original_description, + "best_description": best["description"], + "best_score": best_score, + "best_train_score": f"{best['train_passed']}/{best['train_total']}", + "best_test_score": f"{best['test_passed']}/{best['test_total']}" if test_set else None, + "final_description": current_description, + "iterations_run": len(history), + "holdout": holdout, + "train_size": len(train_set), + "test_size": len(test_set), + "history": history, + } + + +def main(): + parser = argparse.ArgumentParser(description="Run eval + improve loop") + parser.add_argument("--eval-set", required=True, help="Path to eval set JSON file") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--description", default=None, help="Override starting description") + parser.add_argument("--num-workers", type=int, default=10, help="Number of parallel workers") + parser.add_argument("--timeout", type=int, default=30, help="Timeout per query in seconds") + parser.add_argument("--max-iterations", type=int, default=5, help="Max improvement iterations") + parser.add_argument("--runs-per-query", type=int, default=3, help="Number of runs per query") + parser.add_argument("--trigger-threshold", type=float, default=0.5, help="Trigger rate threshold") + parser.add_argument("--holdout", type=float, default=0.4, help="Fraction of eval set to hold out for testing (0 to disable)") + parser.add_argument("--model", required=True, help="Model for improvement") + parser.add_argument("--verbose", action="store_true", help="Print progress to stderr") + parser.add_argument("--report", default="auto", help="Generate HTML report at this path (default: 'auto' for temp file, 'none' to disable)") + parser.add_argument("--results-dir", default=None, help="Save all outputs (results.json, report.html, log.txt) to a timestamped subdirectory here") + args = parser.parse_args() + + eval_set = json.loads(Path(args.eval_set).read_text()) + skill_path = Path(args.skill_path) + + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + name, _, _ = parse_skill_md(skill_path) + + # Set up live report path + if args.report != "none": + if args.report == "auto": + timestamp = time.strftime("%Y%m%d_%H%M%S") + live_report_path = Path(tempfile.gettempdir()) / f"skill_description_report_{skill_path.name}_{timestamp}.html" + else: + live_report_path = Path(args.report) + # Open the report immediately so the user can watch + live_report_path.write_text("

Starting optimization loop...

") + webbrowser.open(str(live_report_path)) + else: + live_report_path = None + + # Determine output directory (create before run_loop so logs can be written) + if args.results_dir: + timestamp = time.strftime("%Y-%m-%d_%H%M%S") + results_dir = Path(args.results_dir) / timestamp + results_dir.mkdir(parents=True, exist_ok=True) + else: + results_dir = None + + log_dir = results_dir / "logs" if results_dir else None + + output = run_loop( + eval_set=eval_set, + skill_path=skill_path, + description_override=args.description, + num_workers=args.num_workers, + timeout=args.timeout, + max_iterations=args.max_iterations, + runs_per_query=args.runs_per_query, + trigger_threshold=args.trigger_threshold, + holdout=args.holdout, + model=args.model, + verbose=args.verbose, + live_report_path=live_report_path, + log_dir=log_dir, + ) + + # Save JSON output + json_output = json.dumps(output, indent=2) + print(json_output) + if results_dir: + (results_dir / "results.json").write_text(json_output) + + # Write final HTML report (without auto-refresh) + if live_report_path: + live_report_path.write_text(generate_html(output, auto_refresh=False, skill_name=name)) + print(f"\nReport: {live_report_path}", file=sys.stderr) + + if results_dir and live_report_path: + (results_dir / "report.html").write_text(generate_html(output, auto_refresh=False, skill_name=name)) + + if results_dir: + print(f"Results saved to: {results_dir}", file=sys.stderr) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-skill-creator/scripts/utils.py b/.agents/skills/anthropics-skill-creator/scripts/utils.py new file mode 100644 index 0000000..51b6a07 --- /dev/null +++ b/.agents/skills/anthropics-skill-creator/scripts/utils.py @@ -0,0 +1,47 @@ +"""Shared utilities for skill-creator scripts.""" + +from pathlib import Path + + + +def parse_skill_md(skill_path: Path) -> tuple[str, str, str]: + """Parse a SKILL.md file, returning (name, description, full_content).""" + content = (skill_path / "SKILL.md").read_text() + lines = content.split("\n") + + if lines[0].strip() != "---": + raise ValueError("SKILL.md missing frontmatter (no opening ---)") + + end_idx = None + for i, line in enumerate(lines[1:], start=1): + if line.strip() == "---": + end_idx = i + break + + if end_idx is None: + raise ValueError("SKILL.md missing frontmatter (no closing ---)") + + name = "" + description = "" + frontmatter_lines = lines[1:end_idx] + i = 0 + while i < len(frontmatter_lines): + line = frontmatter_lines[i] + if line.startswith("name:"): + name = line[len("name:"):].strip().strip('"').strip("'") + elif line.startswith("description:"): + value = line[len("description:"):].strip() + # Handle YAML multiline indicators (>, |, >-, |-) + if value in (">", "|", ">-", "|-"): + continuation_lines: list[str] = [] + i += 1 + while i < len(frontmatter_lines) and (frontmatter_lines[i].startswith(" ") or frontmatter_lines[i].startswith("\t")): + continuation_lines.append(frontmatter_lines[i].strip()) + i += 1 + description = " ".join(continuation_lines) + continue + else: + description = value.strip('"').strip("'") + i += 1 + + return name, description, content diff --git a/.agents/skills/anthropics-skill-development/SKILL.md b/.agents/skills/anthropics-skill-development/SKILL.md new file mode 100644 index 0000000..d862f7c --- /dev/null +++ b/.agents/skills/anthropics-skill-development/SKILL.md @@ -0,0 +1,640 @@ +--- +name: anthropics-skill-development +description: This skill should be used when the user wants to "create a skill", + "add a skill to plugin", "write a new skill", "improve skill description", + "organize skill content", or needs guidance on skill structure, progressive + disclosure, or skill development best practices for Claude Code plugins. +version: 0.1.0 +--- + +# Skill Development for Claude Code Plugins + +This skill provides guidance for creating effective skills for Claude Code plugins. + +## About Skills + +Skills are modular, self-contained packages that extend Claude's capabilities by providing +specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific +domains or tasks—they transform Claude from a general-purpose agent into a specialized agent +equipped with procedural knowledge that no model can fully possess. + +### What Skills Provide + +1. Specialized workflows - Multi-step procedures for specific domains +2. Tool integrations - Instructions for working with specific file formats or APIs +3. Domain expertise - Company-specific knowledge, schemas, business logic +4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks + +### Anatomy of a Skill + +Every skill consists of a required SKILL.md file and optional bundled resources: + +``` +skill-name/ +├── SKILL.md (required) +│ ├── YAML frontmatter metadata (required) +│ │ ├── name: (required) +│ │ └── description: (required) +│ └── Markdown instructions (required) +└── Bundled Resources (optional) + ├── scripts/ - Executable code (Python/Bash/etc.) + ├── references/ - Documentation intended to be loaded into context as needed + └── assets/ - Files used in output (templates, icons, fonts, etc.) +``` + +#### SKILL.md (required) + +**Metadata Quality:** The `name` and `description` in YAML frontmatter determine when Claude will use the skill. Be specific about what the skill does and when to use it. Use the third-person (e.g. "This skill should be used when..." instead of "Use this skill when..."). + +#### Bundled Resources (optional) + +##### Scripts (`scripts/`) + +Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten. + +- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed +- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks +- **Benefits**: Token efficient, deterministic, may be executed without loading into context +- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments + +##### References (`references/`) + +Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking. + +- **When to include**: For documentation that Claude should reference while working +- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications +- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides +- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed +- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md +- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files. + +##### Assets (`assets/`) + +Files not intended to be loaded into context, but rather used within the output Claude produces. + +- **When to include**: When the skill needs files that will be used in the final output +- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography +- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified +- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context + +### Progressive Disclosure Design Principle + +Skills use a three-level loading system to manage context efficiently: + +1. **Metadata (name + description)** - Always in context (~100 words) +2. **SKILL.md body** - When skill triggers (<5k words) +3. **Bundled resources** - As needed by Claude (Unlimited*) + +*Unlimited because scripts can be executed without reading into context window. + +## Skill Creation Process + +To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable. + +### Step 1: Understanding the Skill with Concrete Examples + +Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill. + +To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback. + +For example, when building an image-editor skill, relevant questions include: + +- "What functionality should the image-editor skill support? Editing, rotating, anything else?" +- "Can you give some examples of how this skill would be used?" +- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?" +- "What would a user say that should trigger this skill?" + +To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness. + +Conclude this step when there is a clear sense of the functionality the skill should support. + +### Step 2: Planning the Reusable Skill Contents + +To turn concrete examples into an effective skill, analyze each example by: + +1. Considering how to execute on the example from scratch +2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly + +Example: When building a `pdf-editor` skill to handle queries like "Help me rotate this PDF," the analysis shows: + +1. Rotating a PDF requires re-writing the same code each time +2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill + +Example: When designing a `frontend-webapp-builder` skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows: + +1. Writing a frontend webapp requires the same boilerplate HTML/React each time +2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill + +Example: When building a `big-query` skill to handle queries like "How many users have logged in today?" the analysis shows: + +1. Querying BigQuery requires re-discovering the table schemas and relationships each time +2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill + +**For Claude Code plugins:** When building a hooks skill, the analysis shows: +1. Developers repeatedly need to validate hooks.json and test hook scripts +2. `scripts/validate-hook-schema.sh` and `scripts/test-hook.sh` utilities would be helpful +3. `references/patterns.md` for detailed hook patterns to avoid bloating SKILL.md + +To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets. + +### Step 3: Create Skill Structure + +For Claude Code plugins, create the skill directory structure: + +```bash +mkdir -p plugin-name/skills/skill-name/{references,examples,scripts} +touch plugin-name/skills/skill-name/SKILL.md +``` + +**Note:** Unlike the generic skill-creator which uses `init_skill.py`, plugin skills are created directly in the plugin's `skills/` directory with a simpler manual structure. + +### Step 4: Edit the Skill + +When editing the (newly-created or existing) skill, remember that the skill is being created for another instance of Claude to use. Focus on including information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively. + +#### Start with Reusable Skill Contents + +To begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`. + +Also, delete any example files and directories not needed for the skill. Create only the directories you actually need (references/, examples/, scripts/). + +#### Update SKILL.md + +**Writing Style:** Write the entire skill using **imperative/infinitive form** (verb-first instructions), not second person. Use objective, instructional language (e.g., "To accomplish X, do Y" rather than "You should do X" or "If you need to do X"). This maintains consistency and clarity for AI consumption. + +**Description (Frontmatter):** Use third-person format with specific trigger phrases: + +```yaml +--- +name: Skill Name +description: This skill should be used when the user asks to "specific phrase 1", "specific phrase 2", "specific phrase 3". Include exact phrases users would say that should trigger this skill. Be concrete and specific. +version: 0.1.0 +--- +``` + +**Good description examples:** +```yaml +description: This skill should be used when the user asks to "create a hook", "add a PreToolUse hook", "validate tool use", "implement prompt-based hooks", or mentions hook events (PreToolUse, PostToolUse, Stop). +``` + +**Bad description examples:** +```yaml +description: Use this skill when working with hooks. # Wrong person, vague +description: Load when user needs hook help. # Not third person +description: Provides hook guidance. # No trigger phrases +``` + +To complete SKILL.md body, answer the following questions: + +1. What is the purpose of the skill, in a few sentences? +2. When should the skill be used? (Include this in frontmatter description with specific triggers) +3. In practice, how should Claude use the skill? All reusable skill contents developed above should be referenced so that Claude knows how to use them. + +**Keep SKILL.md lean:** Target 1,500-2,000 words for the body. Move detailed content to references/: +- Detailed patterns → `references/patterns.md` +- Advanced techniques → `references/advanced.md` +- Migration guides → `references/migration.md` +- API references → `references/api-reference.md` + +**Reference resources in SKILL.md:** +```markdown +## Additional Resources + +### Reference Files + +For detailed patterns and techniques, consult: +- **`references/patterns.md`** - Common patterns +- **`references/advanced.md`** - Advanced use cases + +### Example Files + +Working examples in `examples/`: +- **`example-script.sh`** - Working example +``` + +### Step 5: Validate and Test + +**For plugin skills, validation is different from generic skills:** + +1. **Check structure**: Skill directory in `plugin-name/skills/skill-name/` +2. **Validate SKILL.md**: Has frontmatter with name and description +3. **Check trigger phrases**: Description includes specific user queries +4. **Verify writing style**: Body uses imperative/infinitive form, not second person +5. **Test progressive disclosure**: SKILL.md is lean (~1,500-2,000 words), detailed content in references/ +6. **Check references**: All referenced files exist +7. **Validate examples**: Examples are complete and correct +8. **Test scripts**: Scripts are executable and work correctly + +**Use the skill-reviewer agent:** +``` +Ask: "Review my skill and check if it follows best practices" +``` + +The skill-reviewer agent will check description quality, content organization, and progressive disclosure. + +### Step 6: Iterate + +After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed. + +**Iteration workflow:** +1. Use the skill on real tasks +2. Notice struggles or inefficiencies +3. Identify how SKILL.md or bundled resources should be updated +4. Implement changes and test again + +**Common improvements:** +- Strengthen trigger phrases in description +- Move long sections from SKILL.md to references/ +- Add missing examples or scripts +- Clarify ambiguous instructions +- Add edge case handling + +## Plugin-Specific Considerations + +### Skill Location in Plugins + +Plugin skills live in the plugin's `skills/` directory: + +``` +my-plugin/ +├── .claude-plugin/ +│ └── plugin.json +├── commands/ +├── agents/ +└── skills/ + └── my-skill/ + ├── SKILL.md + ├── references/ + ├── examples/ + └── scripts/ +``` + +### Auto-Discovery + +Claude Code automatically discovers skills: +- Scans `skills/` directory +- Finds subdirectories containing `SKILL.md` +- Loads skill metadata (name + description) always +- Loads SKILL.md body when skill triggers +- Loads references/examples when needed + +### No Packaging Needed + +Plugin skills are distributed as part of the plugin, not as separate ZIP files. Users get skills when they install the plugin. + +### Testing in Plugins + +Test skills by installing plugin locally: + +```bash +# Test with --plugin-dir +cc --plugin-dir /path/to/plugin + +# Ask questions that should trigger the skill +# Verify skill loads correctly +``` + +## Examples from Plugin-Dev + +Study the skills in this plugin as examples of best practices: + +**hook-development skill:** +- Excellent trigger phrases: "create a hook", "add a PreToolUse hook", etc. +- Lean SKILL.md (1,651 words) +- 3 references/ files for detailed content +- 3 examples/ of working hooks +- 3 scripts/ utilities + +**agent-development skill:** +- Strong triggers: "create an agent", "agent frontmatter", etc. +- Focused SKILL.md (1,438 words) +- References include the AI generation prompt from Claude Code +- Complete agent examples + +**plugin-settings skill:** +- Specific triggers: "plugin settings", ".local.md files", "YAML frontmatter" +- References show real implementations (multi-agent-swarm, ralph-wiggum) +- Working parsing scripts + +Each demonstrates progressive disclosure and strong triggering. + +## Progressive Disclosure in Practice + +### What Goes in SKILL.md + +**Include (always loaded when skill triggers):** +- Core concepts and overview +- Essential procedures and workflows +- Quick reference tables +- Pointers to references/examples/scripts +- Most common use cases + +**Keep under 3,000 words, ideally 1,500-2,000 words** + +### What Goes in references/ + +**Move to references/ (loaded as needed):** +- Detailed patterns and advanced techniques +- Comprehensive API documentation +- Migration guides +- Edge cases and troubleshooting +- Extensive examples and walkthroughs + +**Each reference file can be large (2,000-5,000+ words)** + +### What Goes in examples/ + +**Working code examples:** +- Complete, runnable scripts +- Configuration files +- Template files +- Real-world usage examples + +**Users can copy and adapt these directly** + +### What Goes in scripts/ + +**Utility scripts:** +- Validation tools +- Testing helpers +- Parsing utilities +- Automation scripts + +**Should be executable and documented** + +## Writing Style Requirements + +### Imperative/Infinitive Form + +Write using verb-first instructions, not second person: + +**Correct (imperative):** +``` +To create a hook, define the event type. +Configure the MCP server with authentication. +Validate settings before use. +``` + +**Incorrect (second person):** +``` +You should create a hook by defining the event type. +You need to configure the MCP server. +You must validate settings before use. +``` + +### Third-Person in Description + +The frontmatter description must use third person: + +**Correct:** +```yaml +description: This skill should be used when the user asks to "create X", "configure Y"... +``` + +**Incorrect:** +```yaml +description: Use this skill when you want to create X... +description: Load this skill when user asks... +``` + +### Objective, Instructional Language + +Focus on what to do, not who should do it: + +**Correct:** +``` +Parse the frontmatter using sed. +Extract fields with grep. +Validate values before use. +``` + +**Incorrect:** +``` +You can parse the frontmatter... +Claude should extract fields... +The user might validate values... +``` + +## Validation Checklist + +Before finalizing a skill: + +**Structure:** +- [ ] SKILL.md file exists with valid YAML frontmatter +- [ ] Frontmatter has `name` and `description` fields +- [ ] Markdown body is present and substantial +- [ ] Referenced files actually exist + +**Description Quality:** +- [ ] Uses third person ("This skill should be used when...") +- [ ] Includes specific trigger phrases users would say +- [ ] Lists concrete scenarios ("create X", "configure Y") +- [ ] Not vague or generic + +**Content Quality:** +- [ ] SKILL.md body uses imperative/infinitive form +- [ ] Body is focused and lean (1,500-2,000 words ideal, <5k max) +- [ ] Detailed content moved to references/ +- [ ] Examples are complete and working +- [ ] Scripts are executable and documented + +**Progressive Disclosure:** +- [ ] Core concepts in SKILL.md +- [ ] Detailed docs in references/ +- [ ] Working code in examples/ +- [ ] Utilities in scripts/ +- [ ] SKILL.md references these resources + +**Testing:** +- [ ] Skill triggers on expected user queries +- [ ] Content is helpful for intended tasks +- [ ] No duplicated information across files +- [ ] References load when needed + +## Common Mistakes to Avoid + +### Mistake 1: Weak Trigger Description + +❌ **Bad:** +```yaml +description: Provides guidance for working with hooks. +``` + +**Why bad:** Vague, no specific trigger phrases, not third person + +✅ **Good:** +```yaml +description: This skill should be used when the user asks to "create a hook", "add a PreToolUse hook", "validate tool use", or mentions hook events. Provides comprehensive hooks API guidance. +``` + +**Why good:** Third person, specific phrases, concrete scenarios + +### Mistake 2: Too Much in SKILL.md + +❌ **Bad:** +``` +skill-name/ +└── SKILL.md (8,000 words - everything in one file) +``` + +**Why bad:** Bloats context when skill loads, detailed content always loaded + +✅ **Good:** +``` +skill-name/ +├── SKILL.md (1,800 words - core essentials) +└── references/ + ├── patterns.md (2,500 words) + └── advanced.md (3,700 words) +``` + +**Why good:** Progressive disclosure, detailed content loaded only when needed + +### Mistake 3: Second Person Writing + +❌ **Bad:** +```markdown +You should start by reading the configuration file. +You need to validate the input. +You can use the grep tool to search. +``` + +**Why bad:** Second person, not imperative form + +✅ **Good:** +```markdown +Start by reading the configuration file. +Validate the input before processing. +Use the grep tool to search for patterns. +``` + +**Why good:** Imperative form, direct instructions + +### Mistake 4: Missing Resource References + +❌ **Bad:** +```markdown +# SKILL.md + +[Core content] + +[No mention of references/ or examples/] +``` + +**Why bad:** Claude doesn't know references exist + +✅ **Good:** +```markdown +# SKILL.md + +[Core content] + +## Additional Resources + +### Reference Files +- **`references/patterns.md`** - Detailed patterns +- **`references/advanced.md`** - Advanced techniques + +### Examples +- **`examples/script.sh`** - Working example +``` + +**Why good:** Claude knows where to find additional information + +## Quick Reference + +### Minimal Skill + +``` +skill-name/ +└── SKILL.md +``` + +Good for: Simple knowledge, no complex resources needed + +### Standard Skill (Recommended) + +``` +skill-name/ +├── SKILL.md +├── references/ +│ └── detailed-guide.md +└── examples/ + └── working-example.sh +``` + +Good for: Most plugin skills with detailed documentation + +### Complete Skill + +``` +skill-name/ +├── SKILL.md +├── references/ +│ ├── patterns.md +│ └── advanced.md +├── examples/ +│ ├── example1.sh +│ └── example2.json +└── scripts/ + └── validate.sh +``` + +Good for: Complex domains with validation utilities + +## Best Practices Summary + +✅ **DO:** +- Use third-person in description ("This skill should be used when...") +- Include specific trigger phrases ("create X", "configure Y") +- Keep SKILL.md lean (1,500-2,000 words) +- Use progressive disclosure (move details to references/) +- Write in imperative/infinitive form +- Reference supporting files clearly +- Provide working examples +- Create utility scripts for common operations +- Study plugin-dev's skills as templates + +❌ **DON'T:** +- Use second person anywhere +- Have vague trigger conditions +- Put everything in SKILL.md (>3,000 words without references/) +- Write in second person ("You should...") +- Leave resources unreferenced +- Include broken or incomplete examples +- Skip validation + +## Additional Resources + +### Study These Skills + +Plugin-dev's skills demonstrate best practices: +- `../hook-development/` - Progressive disclosure, utilities +- `../agent-development/` - AI-assisted creation, references +- `../mcp-integration/` - Comprehensive references +- `../plugin-settings/` - Real-world examples +- `../command-development/` - Clear critical concepts +- `../plugin-structure/` - Good organization + +### Reference Files + +For complete skill-creator methodology: +- **`references/skill-creator-original.md`** - Full original skill-creator content + +## Implementation Workflow + +To create a skill for your plugin: + +1. **Understand use cases**: Identify concrete examples of skill usage +2. **Plan resources**: Determine what scripts/references/examples needed +3. **Create structure**: `mkdir -p skills/skill-name/{references,examples,scripts}` +4. **Write SKILL.md**: + - Frontmatter with third-person description and trigger phrases + - Lean body (1,500-2,000 words) in imperative form + - Reference supporting files +5. **Add resources**: Create references/, examples/, scripts/ as needed +6. **Validate**: Check description, writing style, organization +7. **Test**: Verify skill loads on expected triggers +8. **Iterate**: Improve based on usage + +Focus on strong trigger descriptions, progressive disclosure, and imperative writing style for effective skills that load when needed and provide targeted guidance. diff --git a/.agents/skills/anthropics-skill-development/references/skill-creator-original.md b/.agents/skills/anthropics-skill-development/references/skill-creator-original.md new file mode 100644 index 0000000..4069935 --- /dev/null +++ b/.agents/skills/anthropics-skill-development/references/skill-creator-original.md @@ -0,0 +1,209 @@ +--- +name: skill-creator +description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. +license: Complete terms in LICENSE.txt +--- + +# Skill Creator + +This skill provides guidance for creating effective skills. + +## About Skills + +Skills are modular, self-contained packages that extend Claude's capabilities by providing +specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific +domains or tasks—they transform Claude from a general-purpose agent into a specialized agent +equipped with procedural knowledge that no model can fully possess. + +### What Skills Provide + +1. Specialized workflows - Multi-step procedures for specific domains +2. Tool integrations - Instructions for working with specific file formats or APIs +3. Domain expertise - Company-specific knowledge, schemas, business logic +4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks + +### Anatomy of a Skill + +Every skill consists of a required SKILL.md file and optional bundled resources: + +``` +skill-name/ +├── SKILL.md (required) +│ ├── YAML frontmatter metadata (required) +│ │ ├── name: (required) +│ │ └── description: (required) +│ └── Markdown instructions (required) +└── Bundled Resources (optional) + ├── scripts/ - Executable code (Python/Bash/etc.) + ├── references/ - Documentation intended to be loaded into context as needed + └── assets/ - Files used in output (templates, icons, fonts, etc.) +``` + +#### SKILL.md (required) + +**Metadata Quality:** The `name` and `description` in YAML frontmatter determine when Claude will use the skill. Be specific about what the skill does and when to use it. Use the third-person (e.g. "This skill should be used when..." instead of "Use this skill when..."). + +#### Bundled Resources (optional) + +##### Scripts (`scripts/`) + +Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten. + +- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed +- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks +- **Benefits**: Token efficient, deterministic, may be executed without loading into context +- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments + +##### References (`references/`) + +Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking. + +- **When to include**: For documentation that Claude should reference while working +- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications +- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides +- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed +- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md +- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files. + +##### Assets (`assets/`) + +Files not intended to be loaded into context, but rather used within the output Claude produces. + +- **When to include**: When the skill needs files that will be used in the final output +- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography +- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified +- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context + +### Progressive Disclosure Design Principle + +Skills use a three-level loading system to manage context efficiently: + +1. **Metadata (name + description)** - Always in context (~100 words) +2. **SKILL.md body** - When skill triggers (<5k words) +3. **Bundled resources** - As needed by Claude (Unlimited*) + +*Unlimited because scripts can be executed without reading into context window. + +## Skill Creation Process + +To create a skill, follow the "Skill Creation Process" in order, skipping steps only if there is a clear reason why they are not applicable. + +### Step 1: Understanding the Skill with Concrete Examples + +Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill. + +To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback. + +For example, when building an image-editor skill, relevant questions include: + +- "What functionality should the image-editor skill support? Editing, rotating, anything else?" +- "Can you give some examples of how this skill would be used?" +- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?" +- "What would a user say that should trigger this skill?" + +To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness. + +Conclude this step when there is a clear sense of the functionality the skill should support. + +### Step 2: Planning the Reusable Skill Contents + +To turn concrete examples into an effective skill, analyze each example by: + +1. Considering how to execute on the example from scratch +2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly + +Example: When building a `pdf-editor` skill to handle queries like "Help me rotate this PDF," the analysis shows: + +1. Rotating a PDF requires re-writing the same code each time +2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill + +Example: When designing a `frontend-webapp-builder` skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows: + +1. Writing a frontend webapp requires the same boilerplate HTML/React each time +2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill + +Example: When building a `big-query` skill to handle queries like "How many users have logged in today?" the analysis shows: + +1. Querying BigQuery requires re-discovering the table schemas and relationships each time +2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill + +To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets. + +### Step 3: Initializing the Skill + +At this point, it is time to actually create the skill. + +Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step. + +When creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable. + +Usage: + +```bash +scripts/init_skill.py --path +``` + +The script: + +- Creates the skill directory at the specified path +- Generates a SKILL.md template with proper frontmatter and TODO placeholders +- Creates example resource directories: `scripts/`, `references/`, and `assets/` +- Adds example files in each directory that can be customized or deleted + +After initialization, customize or remove the generated SKILL.md and example files as needed. + +### Step 4: Edit the Skill + +When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of Claude to use. Focus on including information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively. + +#### Start with Reusable Skill Contents + +To begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`. + +Also, delete any example files and directories not needed for the skill. The initialization script creates example files in `scripts/`, `references/`, and `assets/` to demonstrate structure, but most skills won't need all of them. + +#### Update SKILL.md + +**Writing Style:** Write the entire skill using **imperative/infinitive form** (verb-first instructions), not second person. Use objective, instructional language (e.g., "To accomplish X, do Y" rather than "You should do X" or "If you need to do X"). This maintains consistency and clarity for AI consumption. + +To complete SKILL.md, answer the following questions: + +1. What is the purpose of the skill, in a few sentences? +2. When should the skill be used? +3. In practice, how should Claude use the skill? All reusable skill contents developed above should be referenced so that Claude knows how to use them. + +### Step 5: Packaging a Skill + +Once the skill is ready, it should be packaged into a distributable zip file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements: + +```bash +scripts/package_skill.py +``` + +Optional output directory specification: + +```bash +scripts/package_skill.py ./dist +``` + +The packaging script will: + +1. **Validate** the skill automatically, checking: + - YAML frontmatter format and required fields + - Skill naming conventions and directory structure + - Description completeness and quality + - File organization and resource references + +2. **Package** the skill if validation passes, creating a zip file named after the skill (e.g., `my-skill.zip`) that includes all files and maintains the proper directory structure for distribution. + +If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again. + +### Step 6: Iterate + +After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed. + +**Iteration workflow:** +1. Use the skill on real tasks +2. Notice struggles or inefficiencies +3. Identify how SKILL.md or bundled resources should be updated +4. Implement changes and test again diff --git a/.agents/skills/anthropics-theme-factory/LICENSE.txt b/.agents/skills/anthropics-theme-factory/LICENSE.txt new file mode 100644 index 0000000..7a4a3ea --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/LICENSE.txt @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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These artifacts can be + slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes + with colors/fonts that you can apply to any artifact that has been creating, + or can generate a new theme on-the-fly. +license: Complete terms in LICENSE.txt +--- + + +# Theme Factory Skill + +This skill provides a curated collection of professional font and color themes themes, each with carefully selected color palettes and font pairings. Once a theme is chosen, it can be applied to any artifact. + +## Purpose + +To apply consistent, professional styling to presentation slide decks, use this skill. Each theme includes: +- A cohesive color palette with hex codes +- Complementary font pairings for headers and body text +- A distinct visual identity suitable for different contexts and audiences + +## Usage Instructions + +To apply styling to a slide deck or other artifact: + +1. **Show the theme showcase**: Display the `theme-showcase.pdf` file to allow users to see all available themes visually. Do not make any modifications to it; simply show the file for viewing. +2. **Ask for their choice**: Ask which theme to apply to the deck +3. **Wait for selection**: Get explicit confirmation about the chosen theme +4. **Apply the theme**: Once a theme has been chosen, apply the selected theme's colors and fonts to the deck/artifact + +## Themes Available + +The following 10 themes are available, each showcased in `theme-showcase.pdf`: + +1. **Ocean Depths** - Professional and calming maritime theme +2. **Sunset Boulevard** - Warm and vibrant sunset colors +3. **Forest Canopy** - Natural and grounded earth tones +4. **Modern Minimalist** - Clean and contemporary grayscale +5. **Golden Hour** - Rich and warm autumnal palette +6. **Arctic Frost** - Cool and crisp winter-inspired theme +7. **Desert Rose** - Soft and sophisticated dusty tones +8. **Tech Innovation** - Bold and modern tech aesthetic +9. **Botanical Garden** - Fresh and organic garden colors +10. **Midnight Galaxy** - Dramatic and cosmic deep tones + +## Theme Details + +Each theme is defined in the `themes/` directory with complete specifications including: +- Cohesive color palette with hex codes +- Complementary font pairings for headers and body text +- Distinct visual identity suitable for different contexts and audiences + +## Application Process + +After a preferred theme is selected: +1. Read the corresponding theme file from the `themes/` directory +2. Apply the specified colors and fonts consistently throughout the deck +3. Ensure proper contrast and readability +4. Maintain the theme's visual identity across all slides + +## Create your Own Theme +To handle cases where none of the existing themes work for an artifact, create a custom theme. Based on provided inputs, generate a new theme similar to the ones above. Give the theme a similar name describing what the font/color combinations represent. Use any basic description provided to choose appropriate colors/fonts. After generating the theme, show it for review and verification. Following that, apply the theme as described above. diff --git a/.agents/skills/anthropics-theme-factory/theme-showcase.pdf b/.agents/skills/anthropics-theme-factory/theme-showcase.pdf new file mode 100644 index 0000000..e6cef47 Binary files /dev/null and b/.agents/skills/anthropics-theme-factory/theme-showcase.pdf differ diff --git a/.agents/skills/anthropics-theme-factory/themes/arctic-frost.md b/.agents/skills/anthropics-theme-factory/themes/arctic-frost.md new file mode 100644 index 0000000..e9f1eb0 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/arctic-frost.md @@ -0,0 +1,19 @@ +# Arctic Frost + +A cool and crisp winter-inspired theme that conveys clarity, precision, and professionalism. + +## Color Palette + +- **Ice Blue**: `#d4e4f7` - Light backgrounds and highlights +- **Steel Blue**: `#4a6fa5` - Primary accent color +- **Silver**: `#c0c0c0` - Metallic accent elements +- **Crisp White**: `#fafafa` - Clean backgrounds and text + +## Typography + +- **Headers**: DejaVu Sans Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Healthcare presentations, technology solutions, winter sports, clean tech, pharmaceutical content. diff --git a/.agents/skills/anthropics-theme-factory/themes/botanical-garden.md b/.agents/skills/anthropics-theme-factory/themes/botanical-garden.md new file mode 100644 index 0000000..0c95bf7 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/botanical-garden.md @@ -0,0 +1,19 @@ +# Botanical Garden + +A fresh and organic theme featuring vibrant garden-inspired colors for lively presentations. + +## Color Palette + +- **Fern Green**: `#4a7c59` - Rich natural green +- **Marigold**: `#f9a620` - Bright floral accent +- **Terracotta**: `#b7472a` - Earthy warm tone +- **Cream**: `#f5f3ed` - Soft neutral backgrounds + +## Typography + +- **Headers**: DejaVu Serif Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Garden centers, food presentations, farm-to-table content, botanical brands, natural products. diff --git a/.agents/skills/anthropics-theme-factory/themes/desert-rose.md b/.agents/skills/anthropics-theme-factory/themes/desert-rose.md new file mode 100644 index 0000000..ea7c74e --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/desert-rose.md @@ -0,0 +1,19 @@ +# Desert Rose + +A soft and sophisticated theme with dusty, muted tones perfect for elegant presentations. + +## Color Palette + +- **Dusty Rose**: `#d4a5a5` - Soft primary color +- **Clay**: `#b87d6d` - Earthy accent +- **Sand**: `#e8d5c4` - Warm neutral backgrounds +- **Deep Burgundy**: `#5d2e46` - Rich dark contrast + +## Typography + +- **Headers**: FreeSans Bold +- **Body Text**: FreeSans + +## Best Used For + +Fashion presentations, beauty brands, wedding planning, interior design, boutique businesses. diff --git a/.agents/skills/anthropics-theme-factory/themes/forest-canopy.md b/.agents/skills/anthropics-theme-factory/themes/forest-canopy.md new file mode 100644 index 0000000..90c2b26 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/forest-canopy.md @@ -0,0 +1,19 @@ +# Forest Canopy + +A natural and grounded theme featuring earth tones inspired by dense forest environments. + +## Color Palette + +- **Forest Green**: `#2d4a2b` - Primary dark green +- **Sage**: `#7d8471` - Muted green accent +- **Olive**: `#a4ac86` - Light accent color +- **Ivory**: `#faf9f6` - Backgrounds and text + +## Typography + +- **Headers**: FreeSerif Bold +- **Body Text**: FreeSans + +## Best Used For + +Environmental presentations, sustainability reports, outdoor brands, wellness content, organic products. diff --git a/.agents/skills/anthropics-theme-factory/themes/golden-hour.md b/.agents/skills/anthropics-theme-factory/themes/golden-hour.md new file mode 100644 index 0000000..ed8fc25 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/golden-hour.md @@ -0,0 +1,19 @@ +# Golden Hour + +A rich and warm autumnal palette that creates an inviting and sophisticated atmosphere. + +## Color Palette + +- **Mustard Yellow**: `#f4a900` - Bold primary accent +- **Terracotta**: `#c1666b` - Warm secondary color +- **Warm Beige**: `#d4b896` - Neutral backgrounds +- **Chocolate Brown**: `#4a403a` - Dark text and anchors + +## Typography + +- **Headers**: FreeSans Bold +- **Body Text**: FreeSans + +## Best Used For + +Restaurant presentations, hospitality brands, fall campaigns, cozy lifestyle content, artisan products. diff --git a/.agents/skills/anthropics-theme-factory/themes/midnight-galaxy.md b/.agents/skills/anthropics-theme-factory/themes/midnight-galaxy.md new file mode 100644 index 0000000..97e1c5f --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/midnight-galaxy.md @@ -0,0 +1,19 @@ +# Midnight Galaxy + +A dramatic and cosmic theme with deep purples and mystical tones for impactful presentations. + +## Color Palette + +- **Deep Purple**: `#2b1e3e` - Rich dark base +- **Cosmic Blue**: `#4a4e8f` - Mystical mid-tone +- **Lavender**: `#a490c2` - Soft accent color +- **Silver**: `#e6e6fa` - Light highlights and text + +## Typography + +- **Headers**: FreeSans Bold +- **Body Text**: FreeSans + +## Best Used For + +Entertainment industry, gaming presentations, nightlife venues, luxury brands, creative agencies. diff --git a/.agents/skills/anthropics-theme-factory/themes/modern-minimalist.md b/.agents/skills/anthropics-theme-factory/themes/modern-minimalist.md new file mode 100644 index 0000000..6bd26a2 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/modern-minimalist.md @@ -0,0 +1,19 @@ +# Modern Minimalist + +A clean and contemporary theme with a sophisticated grayscale palette for maximum versatility. + +## Color Palette + +- **Charcoal**: `#36454f` - Primary dark color +- **Slate Gray**: `#708090` - Medium gray for accents +- **Light Gray**: `#d3d3d3` - Backgrounds and dividers +- **White**: `#ffffff` - Text and clean backgrounds + +## Typography + +- **Headers**: DejaVu Sans Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Tech presentations, architecture portfolios, design showcases, modern business proposals, data visualization. diff --git a/.agents/skills/anthropics-theme-factory/themes/ocean-depths.md b/.agents/skills/anthropics-theme-factory/themes/ocean-depths.md new file mode 100644 index 0000000..b675126 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/ocean-depths.md @@ -0,0 +1,19 @@ +# Ocean Depths + +A professional and calming maritime theme that evokes the serenity of deep ocean waters. + +## Color Palette + +- **Deep Navy**: `#1a2332` - Primary background color +- **Teal**: `#2d8b8b` - Accent color for highlights and emphasis +- **Seafoam**: `#a8dadc` - Secondary accent for lighter elements +- **Cream**: `#f1faee` - Text and light backgrounds + +## Typography + +- **Headers**: DejaVu Sans Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Corporate presentations, financial reports, professional consulting decks, trust-building content. diff --git a/.agents/skills/anthropics-theme-factory/themes/sunset-boulevard.md b/.agents/skills/anthropics-theme-factory/themes/sunset-boulevard.md new file mode 100644 index 0000000..df799a0 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/sunset-boulevard.md @@ -0,0 +1,19 @@ +# Sunset Boulevard + +A warm and vibrant theme inspired by golden hour sunsets, perfect for energetic and creative presentations. + +## Color Palette + +- **Burnt Orange**: `#e76f51` - Primary accent color +- **Coral**: `#f4a261` - Secondary warm accent +- **Warm Sand**: `#e9c46a` - Highlighting and backgrounds +- **Deep Purple**: `#264653` - Dark contrast and text + +## Typography + +- **Headers**: DejaVu Serif Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Creative pitches, marketing presentations, lifestyle brands, event promotions, inspirational content. diff --git a/.agents/skills/anthropics-theme-factory/themes/tech-innovation.md b/.agents/skills/anthropics-theme-factory/themes/tech-innovation.md new file mode 100644 index 0000000..e029a43 --- /dev/null +++ b/.agents/skills/anthropics-theme-factory/themes/tech-innovation.md @@ -0,0 +1,19 @@ +# Tech Innovation + +A bold and modern theme with high-contrast colors perfect for cutting-edge technology presentations. + +## Color Palette + +- **Electric Blue**: `#0066ff` - Vibrant primary accent +- **Neon Cyan**: `#00ffff` - Bright highlight color +- **Dark Gray**: `#1e1e1e` - Deep backgrounds +- **White**: `#ffffff` - Clean text and contrast + +## Typography + +- **Headers**: DejaVu Sans Bold +- **Body Text**: DejaVu Sans + +## Best Used For + +Tech startups, software launches, innovation showcases, AI/ML presentations, digital transformation content. diff --git a/.agents/skills/anthropics-webapp-testing/LICENSE.txt b/.agents/skills/anthropics-webapp-testing/LICENSE.txt new file mode 100644 index 0000000..7a4a3ea --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/LICENSE.txt @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. \ No newline at end of file diff --git a/.agents/skills/anthropics-webapp-testing/SKILL.md b/.agents/skills/anthropics-webapp-testing/SKILL.md new file mode 100644 index 0000000..55e113f --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/SKILL.md @@ -0,0 +1,98 @@ +--- +name: anthropics-webapp-testing +description: Toolkit for interacting with and testing local web applications + using Playwright. Supports verifying frontend functionality, debugging UI + behavior, capturing browser screenshots, and viewing browser logs. +license: Complete terms in LICENSE.txt +--- + +# Web Application Testing + +To test local web applications, write native Python Playwright scripts. + +**Helper Scripts Available**: +- `scripts/with_server.py` - Manages server lifecycle (supports multiple servers) + +**Always run scripts with `--help` first** to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window. + +## Decision Tree: Choosing Your Approach + +``` +User task → Is it static HTML? + ├─ Yes → Read HTML file directly to identify selectors + │ ├─ Success → Write Playwright script using selectors + │ └─ Fails/Incomplete → Treat as dynamic (below) + │ + └─ No (dynamic webapp) → Is the server already running? + ├─ No → Run: python scripts/with_server.py --help + │ Then use the helper + write simplified Playwright script + │ + └─ Yes → Reconnaissance-then-action: + 1. Navigate and wait for networkidle + 2. Take screenshot or inspect DOM + 3. Identify selectors from rendered state + 4. Execute actions with discovered selectors +``` + +## Example: Using with_server.py + +To start a server, run `--help` first, then use the helper: + +**Single server:** +```bash +python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py +``` + +**Multiple servers (e.g., backend + frontend):** +```bash +python scripts/with_server.py \ + --server "cd backend && python server.py" --port 3000 \ + --server "cd frontend && npm run dev" --port 5173 \ + -- python your_automation.py +``` + +To create an automation script, include only Playwright logic (servers are managed automatically): +```python +from playwright.sync_api import sync_playwright + +with sync_playwright() as p: + browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode + page = browser.new_page() + page.goto('http://localhost:5173') # Server already running and ready + page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute + # ... your automation logic + browser.close() +``` + +## Reconnaissance-Then-Action Pattern + +1. **Inspect rendered DOM**: + ```python + page.screenshot(path='/tmp/inspect.png', full_page=True) + content = page.content() + page.locator('button').all() + ``` + +2. **Identify selectors** from inspection results + +3. **Execute actions** using discovered selectors + +## Common Pitfall + +❌ **Don't** inspect the DOM before waiting for `networkidle` on dynamic apps +✅ **Do** wait for `page.wait_for_load_state('networkidle')` before inspection + +## Best Practices + +- **Use bundled scripts as black boxes** - To accomplish a task, consider whether one of the scripts available in `scripts/` can help. These scripts handle common, complex workflows reliably without cluttering the context window. Use `--help` to see usage, then invoke directly. +- Use `sync_playwright()` for synchronous scripts +- Always close the browser when done +- Use descriptive selectors: `text=`, `role=`, CSS selectors, or IDs +- Add appropriate waits: `page.wait_for_selector()` or `page.wait_for_timeout()` + +## Reference Files + +- **examples/** - Examples showing common patterns: + - `element_discovery.py` - Discovering buttons, links, and inputs on a page + - `static_html_automation.py` - Using file:// URLs for local HTML + - `console_logging.py` - Capturing console logs during automation \ No newline at end of file diff --git a/.agents/skills/anthropics-webapp-testing/examples/console_logging.py b/.agents/skills/anthropics-webapp-testing/examples/console_logging.py new file mode 100644 index 0000000..9329b5e --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/examples/console_logging.py @@ -0,0 +1,35 @@ +from playwright.sync_api import sync_playwright + +# Example: Capturing console logs during browser automation + +url = 'http://localhost:5173' # Replace with your URL + +console_logs = [] + +with sync_playwright() as p: + browser = p.chromium.launch(headless=True) + page = browser.new_page(viewport={'width': 1920, 'height': 1080}) + + # Set up console log capture + def handle_console_message(msg): + console_logs.append(f"[{msg.type}] {msg.text}") + print(f"Console: [{msg.type}] {msg.text}") + + page.on("console", handle_console_message) + + # Navigate to page + page.goto(url) + page.wait_for_load_state('networkidle') + + # Interact with the page (triggers console logs) + page.click('text=Dashboard') + page.wait_for_timeout(1000) + + browser.close() + +# Save console logs to file +with open('/mnt/user-data/outputs/console.log', 'w') as f: + f.write('\n'.join(console_logs)) + +print(f"\nCaptured {len(console_logs)} console messages") +print(f"Logs saved to: /mnt/user-data/outputs/console.log") \ No newline at end of file diff --git a/.agents/skills/anthropics-webapp-testing/examples/element_discovery.py b/.agents/skills/anthropics-webapp-testing/examples/element_discovery.py new file mode 100644 index 0000000..917ba72 --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/examples/element_discovery.py @@ -0,0 +1,40 @@ +from playwright.sync_api import sync_playwright + +# Example: Discovering buttons and other elements on a page + +with sync_playwright() as p: + browser = p.chromium.launch(headless=True) + page = browser.new_page() + + # Navigate to page and wait for it to fully load + page.goto('http://localhost:5173') + page.wait_for_load_state('networkidle') + + # Discover all buttons on the page + buttons = page.locator('button').all() + print(f"Found {len(buttons)} buttons:") + for i, button in enumerate(buttons): + text = button.inner_text() if button.is_visible() else "[hidden]" + print(f" [{i}] {text}") + + # Discover links + links = page.locator('a[href]').all() + print(f"\nFound {len(links)} links:") + for link in links[:5]: # Show first 5 + text = link.inner_text().strip() + href = link.get_attribute('href') + print(f" - {text} -> {href}") + + # Discover input fields + inputs = page.locator('input, textarea, select').all() + print(f"\nFound {len(inputs)} input fields:") + for input_elem in inputs: + name = input_elem.get_attribute('name') or input_elem.get_attribute('id') or "[unnamed]" + input_type = input_elem.get_attribute('type') or 'text' + print(f" - {name} ({input_type})") + + # Take screenshot for visual reference + page.screenshot(path='/tmp/page_discovery.png', full_page=True) + print("\nScreenshot saved to /tmp/page_discovery.png") + + browser.close() \ No newline at end of file diff --git a/.agents/skills/anthropics-webapp-testing/examples/static_html_automation.py b/.agents/skills/anthropics-webapp-testing/examples/static_html_automation.py new file mode 100644 index 0000000..90bbedc --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/examples/static_html_automation.py @@ -0,0 +1,33 @@ +from playwright.sync_api import sync_playwright +import os + +# Example: Automating interaction with static HTML files using file:// URLs + +html_file_path = os.path.abspath('path/to/your/file.html') +file_url = f'file://{html_file_path}' + +with sync_playwright() as p: + browser = p.chromium.launch(headless=True) + page = browser.new_page(viewport={'width': 1920, 'height': 1080}) + + # Navigate to local HTML file + page.goto(file_url) + + # Take screenshot + page.screenshot(path='/mnt/user-data/outputs/static_page.png', full_page=True) + + # Interact with elements + page.click('text=Click Me') + page.fill('#name', 'John Doe') + page.fill('#email', 'john@example.com') + + # Submit form + page.click('button[type="submit"]') + page.wait_for_timeout(500) + + # Take final screenshot + page.screenshot(path='/mnt/user-data/outputs/after_submit.png', full_page=True) + + browser.close() + +print("Static HTML automation completed!") \ No newline at end of file diff --git a/.agents/skills/anthropics-webapp-testing/scripts/with_server.py b/.agents/skills/anthropics-webapp-testing/scripts/with_server.py new file mode 100644 index 0000000..431f2eb --- /dev/null +++ b/.agents/skills/anthropics-webapp-testing/scripts/with_server.py @@ -0,0 +1,106 @@ +#!/usr/bin/env python3 +""" +Start one or more servers, wait for them to be ready, run a command, then clean up. + +Usage: + # Single server + python scripts/with_server.py --server "npm run dev" --port 5173 -- python automation.py + python scripts/with_server.py --server "npm start" --port 3000 -- python test.py + + # Multiple servers + python scripts/with_server.py \ + --server "cd backend && python server.py" --port 3000 \ + --server "cd frontend && npm run dev" --port 5173 \ + -- python test.py +""" + +import subprocess +import socket +import time +import sys +import argparse + +def is_server_ready(port, timeout=30): + """Wait for server to be ready by polling the port.""" + start_time = time.time() + while time.time() - start_time < timeout: + try: + with socket.create_connection(('localhost', port), timeout=1): + return True + except (socket.error, ConnectionRefusedError): + time.sleep(0.5) + return False + + +def main(): + parser = argparse.ArgumentParser(description='Run command with one or more servers') + parser.add_argument('--server', action='append', dest='servers', required=True, help='Server command (can be repeated)') + parser.add_argument('--port', action='append', dest='ports', type=int, required=True, help='Port for each server (must match --server count)') + parser.add_argument('--timeout', type=int, default=30, help='Timeout in seconds per server (default: 30)') + parser.add_argument('command', nargs=argparse.REMAINDER, help='Command to run after server(s) ready') + + args = parser.parse_args() + + # Remove the '--' separator if present + if args.command and args.command[0] == '--': + args.command = args.command[1:] + + if not args.command: + print("Error: No command specified to run") + sys.exit(1) + + # Parse server configurations + if len(args.servers) != len(args.ports): + print("Error: Number of --server and --port arguments must match") + sys.exit(1) + + servers = [] + for cmd, port in zip(args.servers, args.ports): + servers.append({'cmd': cmd, 'port': port}) + + server_processes = [] + + try: + # Start all servers + for i, server in enumerate(servers): + print(f"Starting server {i+1}/{len(servers)}: {server['cmd']}") + + # Use shell=True to support commands with cd and && + process = subprocess.Popen( + server['cmd'], + shell=True, + stdout=subprocess.PIPE, + stderr=subprocess.PIPE + ) + server_processes.append(process) + + # Wait for this server to be ready + print(f"Waiting for server on port {server['port']}...") + if not is_server_ready(server['port'], timeout=args.timeout): + raise RuntimeError(f"Server failed to start on port {server['port']} within {args.timeout}s") + + print(f"Server ready on port {server['port']}") + + print(f"\nAll {len(servers)} server(s) ready") + + # Run the command + print(f"Running: {' '.join(args.command)}\n") + result = subprocess.run(args.command) + sys.exit(result.returncode) + + finally: + # Clean up all servers + print(f"\nStopping {len(server_processes)} server(s)...") + for i, process in enumerate(server_processes): + try: + process.terminate() + process.wait(timeout=5) + except subprocess.TimeoutExpired: + process.kill() + process.wait() + print(f"Server {i+1} stopped") + print("All servers stopped") + + +if __name__ == '__main__': + main() \ No newline at end of file diff --git a/.agents/skills/anthropics-xlsx/LICENSE.txt b/.agents/skills/anthropics-xlsx/LICENSE.txt new file mode 100644 index 0000000..c55ab42 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/LICENSE.txt @@ -0,0 +1,30 @@ +© 2025 Anthropic, PBC. All rights reserved. + +LICENSE: Use of these materials (including all code, prompts, assets, files, +and other components of this Skill) is governed by your agreement with +Anthropic regarding use of Anthropic's services. If no separate agreement +exists, use is governed by Anthropic's Consumer Terms of Service or +Commercial Terms of Service, as applicable: +https://www.anthropic.com/legal/consumer-terms +https://www.anthropic.com/legal/commercial-terms +Your applicable agreement is referred to as the "Agreement." "Services" are +as defined in the Agreement. + +ADDITIONAL RESTRICTIONS: Notwithstanding anything in the Agreement to the +contrary, users may not: + +- Extract these materials from the Services or retain copies of these + materials outside the Services +- Reproduce or copy these materials, except for temporary copies created + automatically during authorized use of the Services +- Create derivative works based on these materials +- Distribute, sublicense, or transfer these materials to any third party +- Make, offer to sell, sell, or import any inventions embodied in these + materials +- Reverse engineer, decompile, or disassemble these materials + +The receipt, viewing, or possession of these materials does not convey or +imply any license or right beyond those expressly granted above. + +Anthropic retains all right, title, and interest in these materials, +including all copyrights, patents, and other intellectual property rights. diff --git a/.agents/skills/anthropics-xlsx/SKILL.md b/.agents/skills/anthropics-xlsx/SKILL.md new file mode 100644 index 0000000..78b4d25 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/SKILL.md @@ -0,0 +1,304 @@ +--- +name: anthropics-xlsx +description: 'Use this skill any time a spreadsheet file is the primary input or + output. This means any task where the user wants to: open, read, edit, or fix + an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing + formulas, formatting, charting, cleaning messy data); create a new spreadsheet + from scratch or from other data sources; or convert between tabular file + formats. Trigger especially when the user references a spreadsheet file by + name or path — even casually (like "the xlsx in my downloads") — and wants + something done to it or produced from it. Also trigger for cleaning or + restructuring messy tabular data files (malformed rows, misplaced headers, + junk data) into proper spreadsheets. The deliverable must be a spreadsheet + file. Do NOT trigger when the primary deliverable is a Word document, HTML + report, standalone Python script, database pipeline, or Google Sheets API + integration, even if tabular data is involved.' +license: Proprietary. LICENSE.txt has complete terms +--- + +# Requirements for Outputs + +## All Excel files + +### Professional Font +- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user + +### Zero Formula Errors +- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?) + +### Preserve Existing Templates (when updating templates) +- Study and EXACTLY match existing format, style, and conventions when modifying files +- Never impose standardized formatting on files with established patterns +- Existing template conventions ALWAYS override these guidelines + +## Financial models + +### Color Coding Standards +Unless otherwise stated by the user or existing template + +#### Industry-Standard Color Conventions +- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios +- **Black text (RGB: 0,0,0)**: ALL formulas and calculations +- **Green text (RGB: 0,128,0)**: Links pulling from other worksheets within same workbook +- **Red text (RGB: 255,0,0)**: External links to other files +- **Yellow background (RGB: 255,255,0)**: Key assumptions needing attention or cells that need to be updated + +### Number Formatting Standards + +#### Required Format Rules +- **Years**: Format as text strings (e.g., "2024" not "2,024") +- **Currency**: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)") +- **Zeros**: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-") +- **Percentages**: Default to 0.0% format (one decimal) +- **Multiples**: Format as 0.0x for valuation multiples (EV/EBITDA, P/E) +- **Negative numbers**: Use parentheses (123) not minus -123 + +### Formula Construction Rules + +#### Assumptions Placement +- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells +- Use cell references instead of hardcoded values in formulas +- Example: Use =B5*(1+$B$6) instead of =B5*1.05 + +#### Formula Error Prevention +- Verify all cell references are correct +- Check for off-by-one errors in ranges +- Ensure consistent formulas across all projection periods +- Test with edge cases (zero values, negative numbers) +- Verify no unintended circular references + +#### Documentation Requirements for Hardcodes +- Comment or in cells beside (if end of table). Format: "Source: [System/Document], [Date], [Specific Reference], [URL if applicable]" +- Examples: + - "Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]" + - "Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]" + - "Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity" + - "Source: FactSet, 8/20/2025, Consensus Estimates Screen" + +# XLSX creation, editing, and analysis + +## Overview + +A user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks. + +## Important Requirements + +**LibreOffice Required for Formula Recalculation**: You can assume LibreOffice is installed for recalculating formula values using the `scripts/recalc.py` script. The script automatically configures LibreOffice on first run, including in sandboxed environments where Unix sockets are restricted (handled by `scripts/office/soffice.py`) + +## Reading and analyzing data + +### Data analysis with pandas +For data analysis, visualization, and basic operations, use **pandas** which provides powerful data manipulation capabilities: + +```python +import pandas as pd + +# Read Excel +df = pd.read_excel('file.xlsx') # Default: first sheet +all_sheets = pd.read_excel('file.xlsx', sheet_name=None) # All sheets as dict + +# Analyze +df.head() # Preview data +df.info() # Column info +df.describe() # Statistics + +# Write Excel +df.to_excel('output.xlsx', index=False) +``` + +## Excel File Workflows + +## CRITICAL: Use Formulas, Not Hardcoded Values + +**Always use Excel formulas instead of calculating values in Python and hardcoding them.** This ensures the spreadsheet remains dynamic and updateable. + +### ❌ WRONG - Hardcoding Calculated Values +```python +# Bad: Calculating in Python and hardcoding result +total = df['Sales'].sum() +sheet['B10'] = total # Hardcodes 5000 + +# Bad: Computing growth rate in Python +growth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue'] +sheet['C5'] = growth # Hardcodes 0.15 + +# Bad: Python calculation for average +avg = sum(values) / len(values) +sheet['D20'] = avg # Hardcodes 42.5 +``` + +### ✅ CORRECT - Using Excel Formulas +```python +# Good: Let Excel calculate the sum +sheet['B10'] = '=SUM(B2:B9)' + +# Good: Growth rate as Excel formula +sheet['C5'] = '=(C4-C2)/C2' + +# Good: Average using Excel function +sheet['D20'] = '=AVERAGE(D2:D19)' +``` + +This applies to ALL calculations - totals, percentages, ratios, differences, etc. The spreadsheet should be able to recalculate when source data changes. + +## Common Workflow +1. **Choose tool**: pandas for data, openpyxl for formulas/formatting +2. **Create/Load**: Create new workbook or load existing file +3. **Modify**: Add/edit data, formulas, and formatting +4. **Save**: Write to file +5. **Recalculate formulas (MANDATORY IF USING FORMULAS)**: Use the scripts/recalc.py script + ```bash + python scripts/recalc.py output.xlsx + ``` +6. **Verify and fix any errors**: + - The script returns JSON with error details + - If `status` is `errors_found`, check `error_summary` for specific error types and locations + - Fix the identified errors and recalculate again + - Common errors to fix: + - `#REF!`: Invalid cell references + - `#DIV/0!`: Division by zero + - `#VALUE!`: Wrong data type in formula + - `#NAME?`: Unrecognized formula name + +### Creating new Excel files + +```python +# Using openpyxl for formulas and formatting +from openpyxl import Workbook +from openpyxl.styles import Font, PatternFill, Alignment + +wb = Workbook() +sheet = wb.active + +# Add data +sheet['A1'] = 'Hello' +sheet['B1'] = 'World' +sheet.append(['Row', 'of', 'data']) + +# Add formula +sheet['B2'] = '=SUM(A1:A10)' + +# Formatting +sheet['A1'].font = Font(bold=True, color='FF0000') +sheet['A1'].fill = PatternFill('solid', start_color='FFFF00') +sheet['A1'].alignment = Alignment(horizontal='center') + +# Column width +sheet.column_dimensions['A'].width = 20 + +wb.save('output.xlsx') +``` + +### Editing existing Excel files + +```python +# Using openpyxl to preserve formulas and formatting +from openpyxl import load_workbook + +# Load existing file +wb = load_workbook('existing.xlsx') +sheet = wb.active # or wb['SheetName'] for specific sheet + +# Working with multiple sheets +for sheet_name in wb.sheetnames: + sheet = wb[sheet_name] + print(f"Sheet: {sheet_name}") + +# Modify cells +sheet['A1'] = 'New Value' +sheet.insert_rows(2) # Insert row at position 2 +sheet.delete_cols(3) # Delete column 3 + +# Add new sheet +new_sheet = wb.create_sheet('NewSheet') +new_sheet['A1'] = 'Data' + +wb.save('modified.xlsx') +``` + +## Recalculating formulas + +Excel files created or modified by openpyxl contain formulas as strings but not calculated values. Use the provided `scripts/recalc.py` script to recalculate formulas: + +```bash +python scripts/recalc.py [timeout_seconds] +``` + +Example: +```bash +python scripts/recalc.py output.xlsx 30 +``` + +The script: +- Automatically sets up LibreOffice macro on first run +- Recalculates all formulas in all sheets +- Scans ALL cells for Excel errors (#REF!, #DIV/0!, etc.) +- Returns JSON with detailed error locations and counts +- Works on both Linux and macOS + +## Formula Verification Checklist + +Quick checks to ensure formulas work correctly: + +### Essential Verification +- [ ] **Test 2-3 sample references**: Verify they pull correct values before building full model +- [ ] **Column mapping**: Confirm Excel columns match (e.g., column 64 = BL, not BK) +- [ ] **Row offset**: Remember Excel rows are 1-indexed (DataFrame row 5 = Excel row 6) + +### Common Pitfalls +- [ ] **NaN handling**: Check for null values with `pd.notna()` +- [ ] **Far-right columns**: FY data often in columns 50+ +- [ ] **Multiple matches**: Search all occurrences, not just first +- [ ] **Division by zero**: Check denominators before using `/` in formulas (#DIV/0!) +- [ ] **Wrong references**: Verify all cell references point to intended cells (#REF!) +- [ ] **Cross-sheet references**: Use correct format (Sheet1!A1) for linking sheets + +### Formula Testing Strategy +- [ ] **Start small**: Test formulas on 2-3 cells before applying broadly +- [ ] **Verify dependencies**: Check all cells referenced in formulas exist +- [ ] **Test edge cases**: Include zero, negative, and very large values + +### Interpreting scripts/recalc.py Output +The script returns JSON with error details: +```json +{ + "status": "success", // or "errors_found" + "total_errors": 0, // Total error count + "total_formulas": 42, // Number of formulas in file + "error_summary": { // Only present if errors found + "#REF!": { + "count": 2, + "locations": ["Sheet1!B5", "Sheet1!C10"] + } + } +} +``` + +## Best Practices + +### Library Selection +- **pandas**: Best for data analysis, bulk operations, and simple data export +- **openpyxl**: Best for complex formatting, formulas, and Excel-specific features + +### Working with openpyxl +- Cell indices are 1-based (row=1, column=1 refers to cell A1) +- Use `data_only=True` to read calculated values: `load_workbook('file.xlsx', data_only=True)` +- **Warning**: If opened with `data_only=True` and saved, formulas are replaced with values and permanently lost +- For large files: Use `read_only=True` for reading or `write_only=True` for writing +- Formulas are preserved but not evaluated - use scripts/recalc.py to update values + +### Working with pandas +- Specify data types to avoid inference issues: `pd.read_excel('file.xlsx', dtype={'id': str})` +- For large files, read specific columns: `pd.read_excel('file.xlsx', usecols=['A', 'C', 'E'])` +- Handle dates properly: `pd.read_excel('file.xlsx', parse_dates=['date_column'])` + +## Code Style Guidelines +**IMPORTANT**: When generating Python code for Excel operations: +- Write minimal, concise Python code without unnecessary comments +- Avoid verbose variable names and redundant operations +- Avoid unnecessary print statements + +**For Excel files themselves**: +- Add comments to cells with complex formulas or important assumptions +- Document data sources for hardcoded values +- Include notes for key calculations and model sections \ No newline at end of file diff --git a/.agents/skills/anthropics-xlsx/scripts/office/helpers/__init__.py b/.agents/skills/anthropics-xlsx/scripts/office/helpers/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/.agents/skills/anthropics-xlsx/scripts/office/helpers/merge_runs.py b/.agents/skills/anthropics-xlsx/scripts/office/helpers/merge_runs.py new file mode 100644 index 0000000..ad7c25e --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/helpers/merge_runs.py @@ -0,0 +1,199 @@ +"""Merge adjacent runs with identical formatting in DOCX. + +Merges adjacent elements that have identical properties. +Works on runs in paragraphs and inside tracked changes (, ). + +Also: +- Removes rsid attributes from runs (revision metadata that doesn't affect rendering) +- Removes proofErr elements (spell/grammar markers that block merging) +""" + +from pathlib import Path + +import defusedxml.minidom + + +def merge_runs(input_dir: str) -> tuple[int, str]: + doc_xml = Path(input_dir) / "word" / "document.xml" + + if not doc_xml.exists(): + return 0, f"Error: {doc_xml} not found" + + try: + dom = defusedxml.minidom.parseString(doc_xml.read_text(encoding="utf-8")) + root = dom.documentElement + + _remove_elements(root, "proofErr") + _strip_run_rsid_attrs(root) + + containers = {run.parentNode for run in _find_elements(root, "r")} + + merge_count = 0 + for container in containers: + merge_count += _merge_runs_in(container) + + doc_xml.write_bytes(dom.toxml(encoding="UTF-8")) + return merge_count, f"Merged {merge_count} runs" + + except Exception as e: + return 0, f"Error: {e}" + + + + +def _find_elements(root, tag: str) -> list: + results = [] + + def traverse(node): + if node.nodeType == node.ELEMENT_NODE: + name = node.localName or node.tagName + if name == tag or name.endswith(f":{tag}"): + results.append(node) + for child in node.childNodes: + traverse(child) + + traverse(root) + return results + + +def _get_child(parent, tag: str): + for child in parent.childNodes: + if child.nodeType == child.ELEMENT_NODE: + name = child.localName or child.tagName + if name == tag or name.endswith(f":{tag}"): + return child + return None + + +def _get_children(parent, tag: str) -> list: + results = [] + for child in parent.childNodes: + if child.nodeType == child.ELEMENT_NODE: + name = child.localName or child.tagName + if name == tag or name.endswith(f":{tag}"): + results.append(child) + return results + + +def _is_adjacent(elem1, elem2) -> bool: + node = elem1.nextSibling + while node: + if node == elem2: + return True + if node.nodeType == node.ELEMENT_NODE: + return False + if node.nodeType == node.TEXT_NODE and node.data.strip(): + return False + node = node.nextSibling + return False + + + + +def _remove_elements(root, tag: str): + for elem in _find_elements(root, tag): + if elem.parentNode: + elem.parentNode.removeChild(elem) + + +def _strip_run_rsid_attrs(root): + for run in _find_elements(root, "r"): + for attr in list(run.attributes.values()): + if "rsid" in attr.name.lower(): + run.removeAttribute(attr.name) + + + + +def _merge_runs_in(container) -> int: + merge_count = 0 + run = _first_child_run(container) + + while run: + while True: + next_elem = _next_element_sibling(run) + if next_elem and _is_run(next_elem) and _can_merge(run, next_elem): + _merge_run_content(run, next_elem) + container.removeChild(next_elem) + merge_count += 1 + else: + break + + _consolidate_text(run) + run = _next_sibling_run(run) + + return merge_count + + +def _first_child_run(container): + for child in container.childNodes: + if child.nodeType == child.ELEMENT_NODE and _is_run(child): + return child + return None + + +def _next_element_sibling(node): + sibling = node.nextSibling + while sibling: + if sibling.nodeType == sibling.ELEMENT_NODE: + return sibling + sibling = sibling.nextSibling + return None + + +def _next_sibling_run(node): + sibling = node.nextSibling + while sibling: + if sibling.nodeType == sibling.ELEMENT_NODE: + if _is_run(sibling): + return sibling + sibling = sibling.nextSibling + return None + + +def _is_run(node) -> bool: + name = node.localName or node.tagName + return name == "r" or name.endswith(":r") + + +def _can_merge(run1, run2) -> bool: + rpr1 = _get_child(run1, "rPr") + rpr2 = _get_child(run2, "rPr") + + if (rpr1 is None) != (rpr2 is None): + return False + if rpr1 is None: + return True + return rpr1.toxml() == rpr2.toxml() + + +def _merge_run_content(target, source): + for child in list(source.childNodes): + if child.nodeType == child.ELEMENT_NODE: + name = child.localName or child.tagName + if name != "rPr" and not name.endswith(":rPr"): + target.appendChild(child) + + +def _consolidate_text(run): + t_elements = _get_children(run, "t") + + for i in range(len(t_elements) - 1, 0, -1): + curr, prev = t_elements[i], t_elements[i - 1] + + if _is_adjacent(prev, curr): + prev_text = prev.firstChild.data if prev.firstChild else "" + curr_text = curr.firstChild.data if curr.firstChild else "" + merged = prev_text + curr_text + + if prev.firstChild: + prev.firstChild.data = merged + else: + prev.appendChild(run.ownerDocument.createTextNode(merged)) + + if merged.startswith(" ") or merged.endswith(" "): + prev.setAttribute("xml:space", "preserve") + elif prev.hasAttribute("xml:space"): + prev.removeAttribute("xml:space") + + run.removeChild(curr) diff --git a/.agents/skills/anthropics-xlsx/scripts/office/helpers/simplify_redlines.py b/.agents/skills/anthropics-xlsx/scripts/office/helpers/simplify_redlines.py new file mode 100644 index 0000000..db963bb --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/helpers/simplify_redlines.py @@ -0,0 +1,197 @@ +"""Simplify tracked changes by merging adjacent w:ins or w:del elements. + +Merges adjacent elements from the same author into a single element. +Same for elements. This makes heavily-redlined documents easier to +work with by reducing the number of tracked change wrappers. + +Rules: +- Only merges w:ins with w:ins, w:del with w:del (same element type) +- Only merges if same author (ignores timestamp differences) +- Only merges if truly adjacent (only whitespace between them) +""" + +import xml.etree.ElementTree as ET +import zipfile +from pathlib import Path + +import defusedxml.minidom + +WORD_NS = "http://schemas.openxmlformats.org/wordprocessingml/2006/main" + + +def simplify_redlines(input_dir: str) -> tuple[int, str]: + doc_xml = Path(input_dir) / "word" / "document.xml" + + if not doc_xml.exists(): + return 0, f"Error: {doc_xml} not found" + + try: + dom = defusedxml.minidom.parseString(doc_xml.read_text(encoding="utf-8")) + root = dom.documentElement + + merge_count = 0 + + containers = _find_elements(root, "p") + _find_elements(root, "tc") + + for container in containers: + merge_count += _merge_tracked_changes_in(container, "ins") + merge_count += _merge_tracked_changes_in(container, "del") + + doc_xml.write_bytes(dom.toxml(encoding="UTF-8")) + return merge_count, f"Simplified {merge_count} tracked changes" + + except Exception as e: + return 0, f"Error: {e}" + + +def _merge_tracked_changes_in(container, tag: str) -> int: + merge_count = 0 + + tracked = [ + child + for child in container.childNodes + if child.nodeType == child.ELEMENT_NODE and _is_element(child, tag) + ] + + if len(tracked) < 2: + return 0 + + i = 0 + while i < len(tracked) - 1: + curr = tracked[i] + next_elem = tracked[i + 1] + + if _can_merge_tracked(curr, next_elem): + _merge_tracked_content(curr, next_elem) + container.removeChild(next_elem) + tracked.pop(i + 1) + merge_count += 1 + else: + i += 1 + + return merge_count + + +def _is_element(node, tag: str) -> bool: + name = node.localName or node.tagName + return name == tag or name.endswith(f":{tag}") + + +def _get_author(elem) -> str: + author = elem.getAttribute("w:author") + if not author: + for attr in elem.attributes.values(): + if attr.localName == "author" or attr.name.endswith(":author"): + return attr.value + return author + + +def _can_merge_tracked(elem1, elem2) -> bool: + if _get_author(elem1) != _get_author(elem2): + return False + + node = elem1.nextSibling + while node and node != elem2: + if node.nodeType == node.ELEMENT_NODE: + return False + if node.nodeType == node.TEXT_NODE and node.data.strip(): + return False + node = node.nextSibling + + return True + + +def _merge_tracked_content(target, source): + while source.firstChild: + child = source.firstChild + source.removeChild(child) + target.appendChild(child) + + +def _find_elements(root, tag: str) -> list: + results = [] + + def traverse(node): + if node.nodeType == node.ELEMENT_NODE: + name = node.localName or node.tagName + if name == tag or name.endswith(f":{tag}"): + results.append(node) + for child in node.childNodes: + traverse(child) + + traverse(root) + return results + + +def get_tracked_change_authors(doc_xml_path: Path) -> dict[str, int]: + if not doc_xml_path.exists(): + return {} + + try: + tree = ET.parse(doc_xml_path) + root = tree.getroot() + except ET.ParseError: + return {} + + namespaces = {"w": WORD_NS} + author_attr = f"{{{WORD_NS}}}author" + + authors: dict[str, int] = {} + for tag in ["ins", "del"]: + for elem in root.findall(f".//w:{tag}", namespaces): + author = elem.get(author_attr) + if author: + authors[author] = authors.get(author, 0) + 1 + + return authors + + +def _get_authors_from_docx(docx_path: Path) -> dict[str, int]: + try: + with zipfile.ZipFile(docx_path, "r") as zf: + if "word/document.xml" not in zf.namelist(): + return {} + with zf.open("word/document.xml") as f: + tree = ET.parse(f) + root = tree.getroot() + + namespaces = {"w": WORD_NS} + author_attr = f"{{{WORD_NS}}}author" + + authors: dict[str, int] = {} + for tag in ["ins", "del"]: + for elem in root.findall(f".//w:{tag}", namespaces): + author = elem.get(author_attr) + if author: + authors[author] = authors.get(author, 0) + 1 + return authors + except (zipfile.BadZipFile, ET.ParseError): + return {} + + +def infer_author(modified_dir: Path, original_docx: Path, default: str = "Claude") -> str: + modified_xml = modified_dir / "word" / "document.xml" + modified_authors = get_tracked_change_authors(modified_xml) + + if not modified_authors: + return default + + original_authors = _get_authors_from_docx(original_docx) + + new_changes: dict[str, int] = {} + for author, count in modified_authors.items(): + original_count = original_authors.get(author, 0) + diff = count - original_count + if diff > 0: + new_changes[author] = diff + + if not new_changes: + return default + + if len(new_changes) == 1: + return next(iter(new_changes)) + + raise ValueError( + f"Multiple authors added new changes: {new_changes}. " + "Cannot infer which author to validate." + ) diff --git a/.agents/skills/anthropics-xlsx/scripts/office/pack.py b/.agents/skills/anthropics-xlsx/scripts/office/pack.py new file mode 100644 index 0000000..db29ed8 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/pack.py @@ -0,0 +1,159 @@ +"""Pack a directory into a DOCX, PPTX, or XLSX file. + +Validates with auto-repair, condenses XML formatting, and creates the Office file. + +Usage: + python pack.py [--original ] [--validate true|false] + +Examples: + python pack.py unpacked/ output.docx --original input.docx + python pack.py unpacked/ output.pptx --validate false +""" + +import argparse +import sys +import shutil +import tempfile +import zipfile +from pathlib import Path + +import defusedxml.minidom + +from validators import DOCXSchemaValidator, PPTXSchemaValidator, RedliningValidator + +def pack( + input_directory: str, + output_file: str, + original_file: str | None = None, + validate: bool = True, + infer_author_func=None, +) -> tuple[None, str]: + input_dir = Path(input_directory) + output_path = Path(output_file) + suffix = output_path.suffix.lower() + + if not input_dir.is_dir(): + return None, f"Error: {input_dir} is not a directory" + + if suffix not in {".docx", ".pptx", ".xlsx"}: + return None, f"Error: {output_file} must be a .docx, .pptx, or .xlsx file" + + if validate and original_file: + original_path = Path(original_file) + if original_path.exists(): + success, output = _run_validation( + input_dir, original_path, suffix, infer_author_func + ) + if output: + print(output) + if not success: + return None, f"Error: Validation failed for {input_dir}" + + with tempfile.TemporaryDirectory() as temp_dir: + temp_content_dir = Path(temp_dir) / "content" + shutil.copytree(input_dir, temp_content_dir) + + for pattern in ["*.xml", "*.rels"]: + for xml_file in temp_content_dir.rglob(pattern): + _condense_xml(xml_file) + + output_path.parent.mkdir(parents=True, exist_ok=True) + with zipfile.ZipFile(output_path, "w", zipfile.ZIP_DEFLATED) as zf: + for f in temp_content_dir.rglob("*"): + if f.is_file(): + zf.write(f, f.relative_to(temp_content_dir)) + + return None, f"Successfully packed {input_dir} to {output_file}" + + +def _run_validation( + unpacked_dir: Path, + original_file: Path, + suffix: str, + infer_author_func=None, +) -> tuple[bool, str | None]: + output_lines = [] + validators = [] + + if suffix == ".docx": + author = "Claude" + if infer_author_func: + try: + author = infer_author_func(unpacked_dir, original_file) + except ValueError as e: + print(f"Warning: {e} Using default author 'Claude'.", file=sys.stderr) + + validators = [ + DOCXSchemaValidator(unpacked_dir, original_file), + RedliningValidator(unpacked_dir, original_file, author=author), + ] + elif suffix == ".pptx": + validators = [PPTXSchemaValidator(unpacked_dir, original_file)] + + if not validators: + return True, None + + total_repairs = sum(v.repair() for v in validators) + if total_repairs: + output_lines.append(f"Auto-repaired {total_repairs} issue(s)") + + success = all(v.validate() for v in validators) + + if success: + output_lines.append("All validations PASSED!") + + return success, "\n".join(output_lines) if output_lines else None + + +def _condense_xml(xml_file: Path) -> None: + try: + with open(xml_file, encoding="utf-8") as f: + dom = defusedxml.minidom.parse(f) + + for element in dom.getElementsByTagName("*"): + if element.tagName.endswith(":t"): + continue + + for child in list(element.childNodes): + if ( + child.nodeType == child.TEXT_NODE + and child.nodeValue + and child.nodeValue.strip() == "" + ) or child.nodeType == child.COMMENT_NODE: + element.removeChild(child) + + xml_file.write_bytes(dom.toxml(encoding="UTF-8")) + except Exception as e: + print(f"ERROR: Failed to parse {xml_file.name}: {e}", file=sys.stderr) + raise + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Pack a directory into a DOCX, PPTX, or XLSX file" + ) + parser.add_argument("input_directory", help="Unpacked Office document directory") + parser.add_argument("output_file", help="Output Office file (.docx/.pptx/.xlsx)") + parser.add_argument( + "--original", + help="Original file for validation comparison", + ) + parser.add_argument( + "--validate", + type=lambda x: x.lower() == "true", + default=True, + metavar="true|false", + help="Run validation with auto-repair (default: true)", + ) + args = parser.parse_args() + + _, message = pack( + args.input_directory, + args.output_file, + original_file=args.original, + validate=args.validate, + ) + print(message) + + if "Error" in message: + sys.exit(1) diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd new file mode 100644 index 0000000..6454ef9 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ISO-IEC29500-4_2016/dml-chart.xsd @@ -0,0 +1,1499 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 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The + following names are currently defined in this namespace and should + not be used with conflicting semantics by any Working Group, + specification, or document instance: + + base (as an attribute name): denotes an attribute whose value + provides a URI to be used as the base for interpreting any + relative URIs in the scope of the element on which it + appears; its value is inherited. This name is reserved + by virtue of its definition in the XML Base specification. + + lang (as an attribute name): denotes an attribute whose value + is a language code for the natural language of the content of + any element; its value is inherited. This name is reserved + by virtue of its definition in the XML specification. + + space (as an attribute name): denotes an attribute whose + value is a keyword indicating what whitespace processing + discipline is intended for the content of the element; its + value is inherited. This name is reserved by virtue of its + definition in the XML specification. + + Father (in any context at all): denotes Jon Bosak, the chair of + the original XML Working Group. This name is reserved by + the following decision of the W3C XML Plenary and + XML Coordination groups: + + In appreciation for his vision, leadership and dedication + the W3C XML Plenary on this 10th day of February, 2000 + reserves for Jon Bosak in perpetuity the XML name + xml:Father + + + + + This schema defines attributes and an attribute group + suitable for use by + schemas wishing to allow xml:base, xml:lang or xml:space attributes + on elements they define. + + To enable this, such a schema must import this schema + for the XML namespace, e.g. as follows: + <schema . . .> + . . . + <import namespace="http://www.w3.org/XML/1998/namespace" + schemaLocation="http://www.w3.org/2001/03/xml.xsd"/> + + Subsequently, qualified reference to any of the attributes + or the group defined below will have the desired effect, e.g. + + <type . . .> + . . . + <attributeGroup ref="xml:specialAttrs"/> + + will define a type which will schema-validate an instance + element with any of those attributes + + + + In keeping with the XML Schema WG's standard versioning + policy, this schema document will persist at + http://www.w3.org/2001/03/xml.xsd. + At the date of issue it can also be found at + http://www.w3.org/2001/xml.xsd. + The schema document at that URI may however change in the future, + in order to remain compatible with the latest version of XML Schema + itself. In other words, if the XML Schema namespace changes, the version + of this document at + http://www.w3.org/2001/xml.xsd will change + accordingly; the version at + http://www.w3.org/2001/03/xml.xsd will not change. + + + + + + In due course, we should install the relevant ISO 2- and 3-letter + codes as the enumerated possible values . . . + + + + + + + + + + + + + + + See http://www.w3.org/TR/xmlbase/ for + information about this attribute. + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd new file mode 100644 index 0000000..dff5513 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-contentTypes.xsd @@ -0,0 +1,42 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd new file mode 100644 index 0000000..7e92261 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-coreProperties.xsd @@ -0,0 +1,50 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd new file mode 100644 index 0000000..4248bf7 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-digSig.xsd @@ -0,0 +1,49 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd new file mode 100644 index 0000000..9c2c17d --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/ecma/fouth-edition/opc-relationships.xsd @@ -0,0 +1,33 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/mce/mc.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/mce/mc.xsd new file mode 100644 index 0000000..ef72545 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/mce/mc.xsd @@ -0,0 +1,75 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2010.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2010.xsd new file mode 100644 index 0000000..f65f777 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2010.xsd @@ -0,0 +1,560 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2012.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2012.xsd new file mode 100644 index 0000000..6b00755 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2012.xsd @@ -0,0 +1,67 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2018.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2018.xsd new file mode 100644 index 0000000..f321d33 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-2018.xsd @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cex-2018.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cex-2018.xsd new file mode 100644 index 0000000..364c6a9 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cex-2018.xsd @@ -0,0 +1,20 @@ + + + + + + + + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cid-2016.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cid-2016.xsd new file mode 100644 index 0000000..fed9d15 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-cid-2016.xsd @@ -0,0 +1,13 @@ + + + + + + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-sdtdatahash-2020.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-sdtdatahash-2020.xsd new file mode 100644 index 0000000..680cf15 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-sdtdatahash-2020.xsd @@ -0,0 +1,4 @@ + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-symex-2015.xsd b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-symex-2015.xsd new file mode 100644 index 0000000..89ada90 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/schemas/microsoft/wml-symex-2015.xsd @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/.agents/skills/anthropics-xlsx/scripts/office/soffice.py b/.agents/skills/anthropics-xlsx/scripts/office/soffice.py new file mode 100644 index 0000000..c7f7e32 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/soffice.py @@ -0,0 +1,183 @@ +""" +Helper for running LibreOffice (soffice) in environments where AF_UNIX +sockets may be blocked (e.g., sandboxed VMs). Detects the restriction +at runtime and applies an LD_PRELOAD shim if needed. + +Usage: + from office.soffice import run_soffice, get_soffice_env + + # Option 1 – run soffice directly + result = run_soffice(["--headless", "--convert-to", "pdf", "input.docx"]) + + # Option 2 – get env dict for your own subprocess calls + env = get_soffice_env() + subprocess.run(["soffice", ...], env=env) +""" + +import os +import socket +import subprocess +import tempfile +from pathlib import Path + + +def get_soffice_env() -> dict: + env = os.environ.copy() + env["SAL_USE_VCLPLUGIN"] = "svp" + + if _needs_shim(): + shim = _ensure_shim() + env["LD_PRELOAD"] = str(shim) + + return env + + +def run_soffice(args: list[str], **kwargs) -> subprocess.CompletedProcess: + env = get_soffice_env() + return subprocess.run(["soffice"] + args, env=env, **kwargs) + + + +_SHIM_SO = Path(tempfile.gettempdir()) / "lo_socket_shim.so" + + +def _needs_shim() -> bool: + try: + s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) + s.close() + return False + except OSError: + return True + + +def _ensure_shim() -> Path: + if _SHIM_SO.exists(): + return _SHIM_SO + + src = Path(tempfile.gettempdir()) / "lo_socket_shim.c" + src.write_text(_SHIM_SOURCE) + subprocess.run( + ["gcc", "-shared", "-fPIC", "-o", str(_SHIM_SO), str(src), "-ldl"], + check=True, + capture_output=True, + ) + src.unlink() + return _SHIM_SO + + + +_SHIM_SOURCE = r""" +#define _GNU_SOURCE +#include +#include +#include +#include +#include +#include +#include + +static int (*real_socket)(int, int, int); +static int (*real_socketpair)(int, int, int, int[2]); +static int (*real_listen)(int, int); +static int (*real_accept)(int, struct sockaddr *, socklen_t *); +static int (*real_close)(int); +static int (*real_read)(int, void *, size_t); + +/* Per-FD bookkeeping (FDs >= 1024 are passed through unshimmed). */ +static int is_shimmed[1024]; +static int peer_of[1024]; +static int wake_r[1024]; /* accept() blocks reading this */ +static int wake_w[1024]; /* close() writes to this */ +static int listener_fd = -1; /* FD that received listen() */ + +__attribute__((constructor)) +static void init(void) { + real_socket = dlsym(RTLD_NEXT, "socket"); + real_socketpair = dlsym(RTLD_NEXT, "socketpair"); + real_listen = dlsym(RTLD_NEXT, "listen"); + real_accept = dlsym(RTLD_NEXT, "accept"); + real_close = dlsym(RTLD_NEXT, "close"); + real_read = dlsym(RTLD_NEXT, "read"); + for (int i = 0; i < 1024; i++) { + peer_of[i] = -1; + wake_r[i] = -1; + wake_w[i] = -1; + } +} + +/* ---- socket ---------------------------------------------------------- */ +int socket(int domain, int type, int protocol) { + if (domain == AF_UNIX) { + int fd = real_socket(domain, type, protocol); + if (fd >= 0) return fd; + /* socket(AF_UNIX) blocked – fall back to socketpair(). */ + int sv[2]; + if (real_socketpair(domain, type, protocol, sv) == 0) { + if (sv[0] >= 0 && sv[0] < 1024) { + is_shimmed[sv[0]] = 1; + peer_of[sv[0]] = sv[1]; + int wp[2]; + if (pipe(wp) == 0) { + wake_r[sv[0]] = wp[0]; + wake_w[sv[0]] = wp[1]; + } + } + return sv[0]; + } + errno = EPERM; + return -1; + } + return real_socket(domain, type, protocol); +} + +/* ---- listen ---------------------------------------------------------- */ +int listen(int sockfd, int backlog) { + if (sockfd >= 0 && sockfd < 1024 && is_shimmed[sockfd]) { + listener_fd = sockfd; + return 0; + } + return real_listen(sockfd, backlog); +} + +/* ---- accept ---------------------------------------------------------- */ +int accept(int sockfd, struct sockaddr *addr, socklen_t *addrlen) { + if (sockfd >= 0 && sockfd < 1024 && is_shimmed[sockfd]) { + /* Block until close() writes to the wake pipe. */ + if (wake_r[sockfd] >= 0) { + char buf; + real_read(wake_r[sockfd], &buf, 1); + } + errno = ECONNABORTED; + return -1; + } + return real_accept(sockfd, addr, addrlen); +} + +/* ---- close ----------------------------------------------------------- */ +int close(int fd) { + if (fd >= 0 && fd < 1024 && is_shimmed[fd]) { + int was_listener = (fd == listener_fd); + is_shimmed[fd] = 0; + + if (wake_w[fd] >= 0) { /* unblock accept() */ + char c = 0; + write(wake_w[fd], &c, 1); + real_close(wake_w[fd]); + wake_w[fd] = -1; + } + if (wake_r[fd] >= 0) { real_close(wake_r[fd]); wake_r[fd] = -1; } + if (peer_of[fd] >= 0) { real_close(peer_of[fd]); peer_of[fd] = -1; } + + if (was_listener) + _exit(0); /* conversion done – exit */ + } + return real_close(fd); +} +""" + + + +if __name__ == "__main__": + import sys + result = run_soffice(sys.argv[1:]) + sys.exit(result.returncode) diff --git a/.agents/skills/anthropics-xlsx/scripts/office/unpack.py b/.agents/skills/anthropics-xlsx/scripts/office/unpack.py new file mode 100644 index 0000000..0015253 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/unpack.py @@ -0,0 +1,132 @@ +"""Unpack Office files (DOCX, PPTX, XLSX) for editing. + +Extracts the ZIP archive, pretty-prints XML files, and optionally: +- Merges adjacent runs with identical formatting (DOCX only) +- Simplifies adjacent tracked changes from same author (DOCX only) + +Usage: + python unpack.py [options] + +Examples: + python unpack.py document.docx unpacked/ + python unpack.py presentation.pptx unpacked/ + python unpack.py document.docx unpacked/ --merge-runs false +""" + +import argparse +import sys +import zipfile +from pathlib import Path + +import defusedxml.minidom + +from helpers.merge_runs import merge_runs as do_merge_runs +from helpers.simplify_redlines import simplify_redlines as do_simplify_redlines + +SMART_QUOTE_REPLACEMENTS = { + "\u201c": "“", + "\u201d": "”", + "\u2018": "‘", + "\u2019": "’", +} + + +def unpack( + input_file: str, + output_directory: str, + merge_runs: bool = True, + simplify_redlines: bool = True, +) -> tuple[None, str]: + input_path = Path(input_file) + output_path = Path(output_directory) + suffix = input_path.suffix.lower() + + if not input_path.exists(): + return None, f"Error: {input_file} does not exist" + + if suffix not in {".docx", ".pptx", ".xlsx"}: + return None, f"Error: {input_file} must be a .docx, .pptx, or .xlsx file" + + try: + output_path.mkdir(parents=True, exist_ok=True) + + with zipfile.ZipFile(input_path, "r") as zf: + zf.extractall(output_path) + + xml_files = list(output_path.rglob("*.xml")) + list(output_path.rglob("*.rels")) + for xml_file in xml_files: + _pretty_print_xml(xml_file) + + message = f"Unpacked {input_file} ({len(xml_files)} XML files)" + + if suffix == ".docx": + if simplify_redlines: + simplify_count, _ = do_simplify_redlines(str(output_path)) + message += f", simplified {simplify_count} tracked changes" + + if merge_runs: + merge_count, _ = do_merge_runs(str(output_path)) + message += f", merged {merge_count} runs" + + for xml_file in xml_files: + _escape_smart_quotes(xml_file) + + return None, message + + except zipfile.BadZipFile: + return None, f"Error: {input_file} is not a valid Office file" + except Exception as e: + return None, f"Error unpacking: {e}" + + +def _pretty_print_xml(xml_file: Path) -> None: + try: + content = xml_file.read_text(encoding="utf-8") + dom = defusedxml.minidom.parseString(content) + xml_file.write_bytes(dom.toprettyxml(indent=" ", encoding="utf-8")) + except Exception: + pass + + +def _escape_smart_quotes(xml_file: Path) -> None: + try: + content = xml_file.read_text(encoding="utf-8") + for char, entity in SMART_QUOTE_REPLACEMENTS.items(): + content = content.replace(char, entity) + xml_file.write_text(content, encoding="utf-8") + except Exception: + pass + + +if __name__ == "__main__": + parser = argparse.ArgumentParser( + description="Unpack an Office file (DOCX, PPTX, XLSX) for editing" + ) + parser.add_argument("input_file", help="Office file to unpack") + parser.add_argument("output_directory", help="Output directory") + parser.add_argument( + "--merge-runs", + type=lambda x: x.lower() == "true", + default=True, + metavar="true|false", + help="Merge adjacent runs with identical formatting (DOCX only, default: true)", + ) + parser.add_argument( + "--simplify-redlines", + type=lambda x: x.lower() == "true", + default=True, + metavar="true|false", + help="Merge adjacent tracked changes from same author (DOCX only, default: true)", + ) + args = parser.parse_args() + + _, message = unpack( + args.input_file, + args.output_directory, + merge_runs=args.merge_runs, + simplify_redlines=args.simplify_redlines, + ) + print(message) + + if "Error" in message: + sys.exit(1) diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validate.py b/.agents/skills/anthropics-xlsx/scripts/office/validate.py new file mode 100644 index 0000000..03b01f6 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validate.py @@ -0,0 +1,111 @@ +""" +Command line tool to validate Office document XML files against XSD schemas and tracked changes. + +Usage: + python validate.py [--original ] [--auto-repair] [--author NAME] + +The first argument can be either: +- An unpacked directory containing the Office document XML files +- A packed Office file (.docx/.pptx/.xlsx) which will be unpacked to a temp directory + +Auto-repair fixes: +- paraId/durableId values that exceed OOXML limits +- Missing xml:space="preserve" on w:t elements with whitespace +""" + +import argparse +import sys +import tempfile +import zipfile +from pathlib import Path + +from validators import DOCXSchemaValidator, PPTXSchemaValidator, RedliningValidator + + +def main(): + parser = argparse.ArgumentParser(description="Validate Office document XML files") + parser.add_argument( + "path", + help="Path to unpacked directory or packed Office file (.docx/.pptx/.xlsx)", + ) + parser.add_argument( + "--original", + required=False, + default=None, + help="Path to original file (.docx/.pptx/.xlsx). If omitted, all XSD errors are reported and redlining validation is skipped.", + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + help="Enable verbose output", + ) + parser.add_argument( + "--auto-repair", + action="store_true", + help="Automatically repair common issues (hex IDs, whitespace preservation)", + ) + parser.add_argument( + "--author", + default="Claude", + help="Author name for redlining validation (default: Claude)", + ) + args = parser.parse_args() + + path = Path(args.path) + assert path.exists(), f"Error: {path} does not exist" + + original_file = None + if args.original: + original_file = Path(args.original) + assert original_file.is_file(), f"Error: {original_file} is not a file" + assert original_file.suffix.lower() in [".docx", ".pptx", ".xlsx"], ( + f"Error: {original_file} must be a .docx, .pptx, or .xlsx file" + ) + + file_extension = (original_file or path).suffix.lower() + assert file_extension in [".docx", ".pptx", ".xlsx"], ( + f"Error: Cannot determine file type from {path}. Use --original or provide a .docx/.pptx/.xlsx file." + ) + + if path.is_file() and path.suffix.lower() in [".docx", ".pptx", ".xlsx"]: + temp_dir = tempfile.mkdtemp() + with zipfile.ZipFile(path, "r") as zf: + zf.extractall(temp_dir) + unpacked_dir = Path(temp_dir) + else: + assert path.is_dir(), f"Error: {path} is not a directory or Office file" + unpacked_dir = path + + match file_extension: + case ".docx": + validators = [ + DOCXSchemaValidator(unpacked_dir, original_file, verbose=args.verbose), + ] + if original_file: + validators.append( + RedliningValidator(unpacked_dir, original_file, verbose=args.verbose, author=args.author) + ) + case ".pptx": + validators = [ + PPTXSchemaValidator(unpacked_dir, original_file, verbose=args.verbose), + ] + case _: + print(f"Error: Validation not supported for file type {file_extension}") + sys.exit(1) + + if args.auto_repair: + total_repairs = sum(v.repair() for v in validators) + if total_repairs: + print(f"Auto-repaired {total_repairs} issue(s)") + + success = all(v.validate() for v in validators) + + if success: + print("All validations PASSED!") + + sys.exit(0 if success else 1) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validators/__init__.py b/.agents/skills/anthropics-xlsx/scripts/office/validators/__init__.py new file mode 100644 index 0000000..db092ec --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validators/__init__.py @@ -0,0 +1,15 @@ +""" +Validation modules for Word document processing. +""" + +from .base import BaseSchemaValidator +from .docx import DOCXSchemaValidator +from .pptx import PPTXSchemaValidator +from .redlining import RedliningValidator + +__all__ = [ + "BaseSchemaValidator", + "DOCXSchemaValidator", + "PPTXSchemaValidator", + "RedliningValidator", +] diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validators/base.py b/.agents/skills/anthropics-xlsx/scripts/office/validators/base.py new file mode 100644 index 0000000..db4a06a --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validators/base.py @@ -0,0 +1,847 @@ +""" +Base validator with common validation logic for document files. +""" + +import re +from pathlib import Path + +import defusedxml.minidom +import lxml.etree + + +class BaseSchemaValidator: + + IGNORED_VALIDATION_ERRORS = [ + "hyphenationZone", + "purl.org/dc/terms", + ] + + UNIQUE_ID_REQUIREMENTS = { + "comment": ("id", "file"), + "commentrangestart": ("id", "file"), + "commentrangeend": ("id", "file"), + "bookmarkstart": ("id", "file"), + "bookmarkend": ("id", "file"), + "sldid": ("id", "file"), + "sldmasterid": ("id", "global"), + "sldlayoutid": ("id", "global"), + "cm": ("authorid", "file"), + "sheet": ("sheetid", "file"), + "definedname": ("id", "file"), + "cxnsp": ("id", "file"), + "sp": ("id", "file"), + "pic": ("id", "file"), + "grpsp": ("id", "file"), + } + + EXCLUDED_ID_CONTAINERS = { + "sectionlst", + } + + ELEMENT_RELATIONSHIP_TYPES = {} + + SCHEMA_MAPPINGS = { + "word": "ISO-IEC29500-4_2016/wml.xsd", + "ppt": "ISO-IEC29500-4_2016/pml.xsd", + "xl": "ISO-IEC29500-4_2016/sml.xsd", + "[Content_Types].xml": "ecma/fouth-edition/opc-contentTypes.xsd", + "app.xml": "ISO-IEC29500-4_2016/shared-documentPropertiesExtended.xsd", + "core.xml": "ecma/fouth-edition/opc-coreProperties.xsd", + "custom.xml": "ISO-IEC29500-4_2016/shared-documentPropertiesCustom.xsd", + ".rels": "ecma/fouth-edition/opc-relationships.xsd", + "people.xml": "microsoft/wml-2012.xsd", + "commentsIds.xml": "microsoft/wml-cid-2016.xsd", + "commentsExtensible.xml": "microsoft/wml-cex-2018.xsd", + "commentsExtended.xml": "microsoft/wml-2012.xsd", + "chart": "ISO-IEC29500-4_2016/dml-chart.xsd", + "theme": "ISO-IEC29500-4_2016/dml-main.xsd", + "drawing": "ISO-IEC29500-4_2016/dml-main.xsd", + } + + MC_NAMESPACE = "http://schemas.openxmlformats.org/markup-compatibility/2006" + XML_NAMESPACE = "http://www.w3.org/XML/1998/namespace" + + PACKAGE_RELATIONSHIPS_NAMESPACE = ( + "http://schemas.openxmlformats.org/package/2006/relationships" + ) + OFFICE_RELATIONSHIPS_NAMESPACE = ( + "http://schemas.openxmlformats.org/officeDocument/2006/relationships" + ) + CONTENT_TYPES_NAMESPACE = ( + "http://schemas.openxmlformats.org/package/2006/content-types" + ) + + MAIN_CONTENT_FOLDERS = {"word", "ppt", "xl"} + + OOXML_NAMESPACES = { + "http://schemas.openxmlformats.org/officeDocument/2006/math", + "http://schemas.openxmlformats.org/officeDocument/2006/relationships", + "http://schemas.openxmlformats.org/schemaLibrary/2006/main", + "http://schemas.openxmlformats.org/drawingml/2006/main", + "http://schemas.openxmlformats.org/drawingml/2006/chart", + "http://schemas.openxmlformats.org/drawingml/2006/chartDrawing", + "http://schemas.openxmlformats.org/drawingml/2006/diagram", + "http://schemas.openxmlformats.org/drawingml/2006/picture", + "http://schemas.openxmlformats.org/drawingml/2006/spreadsheetDrawing", + "http://schemas.openxmlformats.org/drawingml/2006/wordprocessingDrawing", + "http://schemas.openxmlformats.org/wordprocessingml/2006/main", + "http://schemas.openxmlformats.org/presentationml/2006/main", + "http://schemas.openxmlformats.org/spreadsheetml/2006/main", + "http://schemas.openxmlformats.org/officeDocument/2006/sharedTypes", + "http://www.w3.org/XML/1998/namespace", + } + + def __init__(self, unpacked_dir, original_file=None, verbose=False): + self.unpacked_dir = Path(unpacked_dir).resolve() + self.original_file = Path(original_file) if original_file else None + self.verbose = verbose + + self.schemas_dir = Path(__file__).parent.parent / "schemas" + + patterns = ["*.xml", "*.rels"] + self.xml_files = [ + f for pattern in patterns for f in self.unpacked_dir.rglob(pattern) + ] + + if not self.xml_files: + print(f"Warning: No XML files found in {self.unpacked_dir}") + + def validate(self): + raise NotImplementedError("Subclasses must implement the validate method") + + def repair(self) -> int: + return self.repair_whitespace_preservation() + + def repair_whitespace_preservation(self) -> int: + repairs = 0 + + for xml_file in self.xml_files: + try: + content = xml_file.read_text(encoding="utf-8") + dom = defusedxml.minidom.parseString(content) + modified = False + + for elem in dom.getElementsByTagName("*"): + if elem.tagName.endswith(":t") and elem.firstChild: + text = elem.firstChild.nodeValue + if text and (text.startswith((' ', '\t')) or text.endswith((' ', '\t'))): + if elem.getAttribute("xml:space") != "preserve": + elem.setAttribute("xml:space", "preserve") + text_preview = repr(text[:30]) + "..." if len(text) > 30 else repr(text) + print(f" Repaired: {xml_file.name}: Added xml:space='preserve' to {elem.tagName}: {text_preview}") + repairs += 1 + modified = True + + if modified: + xml_file.write_bytes(dom.toxml(encoding="UTF-8")) + + except Exception: + pass + + return repairs + + def validate_xml(self): + errors = [] + + for xml_file in self.xml_files: + try: + lxml.etree.parse(str(xml_file)) + except lxml.etree.XMLSyntaxError as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {e.lineno}: {e.msg}" + ) + except Exception as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Unexpected error: {str(e)}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} XML violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All XML files are well-formed") + return True + + def validate_namespaces(self): + errors = [] + + for xml_file in self.xml_files: + try: + root = lxml.etree.parse(str(xml_file)).getroot() + declared = set(root.nsmap.keys()) - {None} + + for attr_val in [ + v for k, v in root.attrib.items() if k.endswith("Ignorable") + ]: + undeclared = set(attr_val.split()) - declared + errors.extend( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Namespace '{ns}' in Ignorable but not declared" + for ns in undeclared + ) + except lxml.etree.XMLSyntaxError: + continue + + if errors: + print(f"FAILED - {len(errors)} namespace issues:") + for error in errors: + print(error) + return False + if self.verbose: + print("PASSED - All namespace prefixes properly declared") + return True + + def validate_unique_ids(self): + errors = [] + global_ids = {} + + for xml_file in self.xml_files: + try: + root = lxml.etree.parse(str(xml_file)).getroot() + file_ids = {} + + mc_elements = root.xpath( + ".//mc:AlternateContent", namespaces={"mc": self.MC_NAMESPACE} + ) + for elem in mc_elements: + elem.getparent().remove(elem) + + for elem in root.iter(): + tag = ( + elem.tag.split("}")[-1].lower() + if "}" in elem.tag + else elem.tag.lower() + ) + + if tag in self.UNIQUE_ID_REQUIREMENTS: + in_excluded_container = any( + ancestor.tag.split("}")[-1].lower() in self.EXCLUDED_ID_CONTAINERS + for ancestor in elem.iterancestors() + ) + if in_excluded_container: + continue + + attr_name, scope = self.UNIQUE_ID_REQUIREMENTS[tag] + + id_value = None + for attr, value in elem.attrib.items(): + attr_local = ( + attr.split("}")[-1].lower() + if "}" in attr + else attr.lower() + ) + if attr_local == attr_name: + id_value = value + break + + if id_value is not None: + if scope == "global": + if id_value in global_ids: + prev_file, prev_line, prev_tag = global_ids[ + id_value + ] + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {elem.sourceline}: Global ID '{id_value}' in <{tag}> " + f"already used in {prev_file} at line {prev_line} in <{prev_tag}>" + ) + else: + global_ids[id_value] = ( + xml_file.relative_to(self.unpacked_dir), + elem.sourceline, + tag, + ) + elif scope == "file": + key = (tag, attr_name) + if key not in file_ids: + file_ids[key] = {} + + if id_value in file_ids[key]: + prev_line = file_ids[key][id_value] + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {elem.sourceline}: Duplicate {attr_name}='{id_value}' in <{tag}> " + f"(first occurrence at line {prev_line})" + ) + else: + file_ids[key][id_value] = elem.sourceline + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} ID uniqueness violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All required IDs are unique") + return True + + def validate_file_references(self): + errors = [] + + rels_files = list(self.unpacked_dir.rglob("*.rels")) + + if not rels_files: + if self.verbose: + print("PASSED - No .rels files found") + return True + + all_files = [] + for file_path in self.unpacked_dir.rglob("*"): + if ( + file_path.is_file() + and file_path.name != "[Content_Types].xml" + and not file_path.name.endswith(".rels") + ): + all_files.append(file_path.resolve()) + + all_referenced_files = set() + + if self.verbose: + print( + f"Found {len(rels_files)} .rels files and {len(all_files)} target files" + ) + + for rels_file in rels_files: + try: + rels_root = lxml.etree.parse(str(rels_file)).getroot() + + rels_dir = rels_file.parent + + referenced_files = set() + broken_refs = [] + + for rel in rels_root.findall( + ".//ns:Relationship", + namespaces={"ns": self.PACKAGE_RELATIONSHIPS_NAMESPACE}, + ): + target = rel.get("Target") + if target and not target.startswith( + ("http", "mailto:") + ): + if target.startswith("/"): + target_path = self.unpacked_dir / target.lstrip("/") + elif rels_file.name == ".rels": + target_path = self.unpacked_dir / target + else: + base_dir = rels_dir.parent + target_path = base_dir / target + + try: + target_path = target_path.resolve() + if target_path.exists() and target_path.is_file(): + referenced_files.add(target_path) + all_referenced_files.add(target_path) + else: + broken_refs.append((target, rel.sourceline)) + except (OSError, ValueError): + broken_refs.append((target, rel.sourceline)) + + if broken_refs: + rel_path = rels_file.relative_to(self.unpacked_dir) + for broken_ref, line_num in broken_refs: + errors.append( + f" {rel_path}: Line {line_num}: Broken reference to {broken_ref}" + ) + + except Exception as e: + rel_path = rels_file.relative_to(self.unpacked_dir) + errors.append(f" Error parsing {rel_path}: {e}") + + unreferenced_files = set(all_files) - all_referenced_files + + if unreferenced_files: + for unref_file in sorted(unreferenced_files): + unref_rel_path = unref_file.relative_to(self.unpacked_dir) + errors.append(f" Unreferenced file: {unref_rel_path}") + + if errors: + print(f"FAILED - Found {len(errors)} relationship validation errors:") + for error in errors: + print(error) + print( + "CRITICAL: These errors will cause the document to appear corrupt. " + + "Broken references MUST be fixed, " + + "and unreferenced files MUST be referenced or removed." + ) + return False + else: + if self.verbose: + print( + "PASSED - All references are valid and all files are properly referenced" + ) + return True + + def validate_all_relationship_ids(self): + import lxml.etree + + errors = [] + + for xml_file in self.xml_files: + if xml_file.suffix == ".rels": + continue + + rels_dir = xml_file.parent / "_rels" + rels_file = rels_dir / f"{xml_file.name}.rels" + + if not rels_file.exists(): + continue + + try: + rels_root = lxml.etree.parse(str(rels_file)).getroot() + rid_to_type = {} + + for rel in rels_root.findall( + f".//{{{self.PACKAGE_RELATIONSHIPS_NAMESPACE}}}Relationship" + ): + rid = rel.get("Id") + rel_type = rel.get("Type", "") + if rid: + if rid in rid_to_type: + rels_rel_path = rels_file.relative_to(self.unpacked_dir) + errors.append( + f" {rels_rel_path}: Line {rel.sourceline}: " + f"Duplicate relationship ID '{rid}' (IDs must be unique)" + ) + type_name = ( + rel_type.split("/")[-1] if "/" in rel_type else rel_type + ) + rid_to_type[rid] = type_name + + xml_root = lxml.etree.parse(str(xml_file)).getroot() + + r_ns = self.OFFICE_RELATIONSHIPS_NAMESPACE + rid_attrs_to_check = ["id", "embed", "link"] + for elem in xml_root.iter(): + for attr_name in rid_attrs_to_check: + rid_attr = elem.get(f"{{{r_ns}}}{attr_name}") + if not rid_attr: + continue + xml_rel_path = xml_file.relative_to(self.unpacked_dir) + elem_name = ( + elem.tag.split("}")[-1] if "}" in elem.tag else elem.tag + ) + + if rid_attr not in rid_to_type: + errors.append( + f" {xml_rel_path}: Line {elem.sourceline}: " + f"<{elem_name}> r:{attr_name} references non-existent relationship '{rid_attr}' " + f"(valid IDs: {', '.join(sorted(rid_to_type.keys())[:5])}{'...' if len(rid_to_type) > 5 else ''})" + ) + elif attr_name == "id" and self.ELEMENT_RELATIONSHIP_TYPES: + expected_type = self._get_expected_relationship_type( + elem_name + ) + if expected_type: + actual_type = rid_to_type[rid_attr] + if expected_type not in actual_type.lower(): + errors.append( + f" {xml_rel_path}: Line {elem.sourceline}: " + f"<{elem_name}> references '{rid_attr}' which points to '{actual_type}' " + f"but should point to a '{expected_type}' relationship" + ) + + except Exception as e: + xml_rel_path = xml_file.relative_to(self.unpacked_dir) + errors.append(f" Error processing {xml_rel_path}: {e}") + + if errors: + print(f"FAILED - Found {len(errors)} relationship ID reference errors:") + for error in errors: + print(error) + print("\nThese ID mismatches will cause the document to appear corrupt!") + return False + else: + if self.verbose: + print("PASSED - All relationship ID references are valid") + return True + + def _get_expected_relationship_type(self, element_name): + elem_lower = element_name.lower() + + if elem_lower in self.ELEMENT_RELATIONSHIP_TYPES: + return self.ELEMENT_RELATIONSHIP_TYPES[elem_lower] + + if elem_lower.endswith("id") and len(elem_lower) > 2: + prefix = elem_lower[:-2] + if prefix.endswith("master"): + return prefix.lower() + elif prefix.endswith("layout"): + return prefix.lower() + else: + if prefix == "sld": + return "slide" + return prefix.lower() + + if elem_lower.endswith("reference") and len(elem_lower) > 9: + prefix = elem_lower[:-9] + return prefix.lower() + + return None + + def validate_content_types(self): + errors = [] + + content_types_file = self.unpacked_dir / "[Content_Types].xml" + if not content_types_file.exists(): + print("FAILED - [Content_Types].xml file not found") + return False + + try: + root = lxml.etree.parse(str(content_types_file)).getroot() + declared_parts = set() + declared_extensions = set() + + for override in root.findall( + f".//{{{self.CONTENT_TYPES_NAMESPACE}}}Override" + ): + part_name = override.get("PartName") + if part_name is not None: + declared_parts.add(part_name.lstrip("/")) + + for default in root.findall( + f".//{{{self.CONTENT_TYPES_NAMESPACE}}}Default" + ): + extension = default.get("Extension") + if extension is not None: + declared_extensions.add(extension.lower()) + + declarable_roots = { + "sld", + "sldLayout", + "sldMaster", + "presentation", + "document", + "workbook", + "worksheet", + "theme", + } + + media_extensions = { + "png": "image/png", + "jpg": "image/jpeg", + "jpeg": "image/jpeg", + "gif": "image/gif", + "bmp": "image/bmp", + "tiff": "image/tiff", + "wmf": "image/x-wmf", + "emf": "image/x-emf", + } + + all_files = list(self.unpacked_dir.rglob("*")) + all_files = [f for f in all_files if f.is_file()] + + for xml_file in self.xml_files: + path_str = str(xml_file.relative_to(self.unpacked_dir)).replace( + "\\", "/" + ) + + if any( + skip in path_str + for skip in [".rels", "[Content_Types]", "docProps/", "_rels/"] + ): + continue + + try: + root_tag = lxml.etree.parse(str(xml_file)).getroot().tag + root_name = root_tag.split("}")[-1] if "}" in root_tag else root_tag + + if root_name in declarable_roots and path_str not in declared_parts: + errors.append( + f" {path_str}: File with <{root_name}> root not declared in [Content_Types].xml" + ) + + except Exception: + continue + + for file_path in all_files: + if file_path.suffix.lower() in {".xml", ".rels"}: + continue + if file_path.name == "[Content_Types].xml": + continue + if "_rels" in file_path.parts or "docProps" in file_path.parts: + continue + + extension = file_path.suffix.lstrip(".").lower() + if extension and extension not in declared_extensions: + if extension in media_extensions: + relative_path = file_path.relative_to(self.unpacked_dir) + errors.append( + f' {relative_path}: File with extension \'{extension}\' not declared in [Content_Types].xml - should add: ' + ) + + except Exception as e: + errors.append(f" Error parsing [Content_Types].xml: {e}") + + if errors: + print(f"FAILED - Found {len(errors)} content type declaration errors:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print( + "PASSED - All content files are properly declared in [Content_Types].xml" + ) + return True + + def validate_file_against_xsd(self, xml_file, verbose=False): + xml_file = Path(xml_file).resolve() + unpacked_dir = self.unpacked_dir.resolve() + + is_valid, current_errors = self._validate_single_file_xsd( + xml_file, unpacked_dir + ) + + if is_valid is None: + return None, set() + elif is_valid: + return True, set() + + original_errors = self._get_original_file_errors(xml_file) + + assert current_errors is not None + new_errors = current_errors - original_errors + + new_errors = { + e for e in new_errors + if not any(pattern in e for pattern in self.IGNORED_VALIDATION_ERRORS) + } + + if new_errors: + if verbose: + relative_path = xml_file.relative_to(unpacked_dir) + print(f"FAILED - {relative_path}: {len(new_errors)} new error(s)") + for error in list(new_errors)[:3]: + truncated = error[:250] + "..." if len(error) > 250 else error + print(f" - {truncated}") + return False, new_errors + else: + if verbose: + print( + f"PASSED - No new errors (original had {len(current_errors)} errors)" + ) + return True, set() + + def validate_against_xsd(self): + new_errors = [] + original_error_count = 0 + valid_count = 0 + skipped_count = 0 + + for xml_file in self.xml_files: + relative_path = str(xml_file.relative_to(self.unpacked_dir)) + is_valid, new_file_errors = self.validate_file_against_xsd( + xml_file, verbose=False + ) + + if is_valid is None: + skipped_count += 1 + continue + elif is_valid and not new_file_errors: + valid_count += 1 + continue + elif is_valid: + original_error_count += 1 + valid_count += 1 + continue + + new_errors.append(f" {relative_path}: {len(new_file_errors)} new error(s)") + for error in list(new_file_errors)[:3]: + new_errors.append( + f" - {error[:250]}..." if len(error) > 250 else f" - {error}" + ) + + if self.verbose: + print(f"Validated {len(self.xml_files)} files:") + print(f" - Valid: {valid_count}") + print(f" - Skipped (no schema): {skipped_count}") + if original_error_count: + print(f" - With original errors (ignored): {original_error_count}") + print( + f" - With NEW errors: {len(new_errors) > 0 and len([e for e in new_errors if not e.startswith(' ')]) or 0}" + ) + + if new_errors: + print("\nFAILED - Found NEW validation errors:") + for error in new_errors: + print(error) + return False + else: + if self.verbose: + print("\nPASSED - No new XSD validation errors introduced") + return True + + def _get_schema_path(self, xml_file): + if xml_file.name in self.SCHEMA_MAPPINGS: + return self.schemas_dir / self.SCHEMA_MAPPINGS[xml_file.name] + + if xml_file.suffix == ".rels": + return self.schemas_dir / self.SCHEMA_MAPPINGS[".rels"] + + if "charts/" in str(xml_file) and xml_file.name.startswith("chart"): + return self.schemas_dir / self.SCHEMA_MAPPINGS["chart"] + + if "theme/" in str(xml_file) and xml_file.name.startswith("theme"): + return self.schemas_dir / self.SCHEMA_MAPPINGS["theme"] + + if xml_file.parent.name in self.MAIN_CONTENT_FOLDERS: + return self.schemas_dir / self.SCHEMA_MAPPINGS[xml_file.parent.name] + + return None + + def _clean_ignorable_namespaces(self, xml_doc): + xml_string = lxml.etree.tostring(xml_doc, encoding="unicode") + xml_copy = lxml.etree.fromstring(xml_string) + + for elem in xml_copy.iter(): + attrs_to_remove = [] + + for attr in elem.attrib: + if "{" in attr: + ns = attr.split("}")[0][1:] + if ns not in self.OOXML_NAMESPACES: + attrs_to_remove.append(attr) + + for attr in attrs_to_remove: + del elem.attrib[attr] + + self._remove_ignorable_elements(xml_copy) + + return lxml.etree.ElementTree(xml_copy) + + def _remove_ignorable_elements(self, root): + elements_to_remove = [] + + for elem in list(root): + if not hasattr(elem, "tag") or callable(elem.tag): + continue + + tag_str = str(elem.tag) + if tag_str.startswith("{"): + ns = tag_str.split("}")[0][1:] + if ns not in self.OOXML_NAMESPACES: + elements_to_remove.append(elem) + continue + + self._remove_ignorable_elements(elem) + + for elem in elements_to_remove: + root.remove(elem) + + def _preprocess_for_mc_ignorable(self, xml_doc): + root = xml_doc.getroot() + + if f"{{{self.MC_NAMESPACE}}}Ignorable" in root.attrib: + del root.attrib[f"{{{self.MC_NAMESPACE}}}Ignorable"] + + return xml_doc + + def _validate_single_file_xsd(self, xml_file, base_path): + schema_path = self._get_schema_path(xml_file) + if not schema_path: + return None, None + + try: + with open(schema_path, "rb") as xsd_file: + parser = lxml.etree.XMLParser() + xsd_doc = lxml.etree.parse( + xsd_file, parser=parser, base_url=str(schema_path) + ) + schema = lxml.etree.XMLSchema(xsd_doc) + + with open(xml_file, "r") as f: + xml_doc = lxml.etree.parse(f) + + xml_doc, _ = self._remove_template_tags_from_text_nodes(xml_doc) + xml_doc = self._preprocess_for_mc_ignorable(xml_doc) + + relative_path = xml_file.relative_to(base_path) + if ( + relative_path.parts + and relative_path.parts[0] in self.MAIN_CONTENT_FOLDERS + ): + xml_doc = self._clean_ignorable_namespaces(xml_doc) + + if schema.validate(xml_doc): + return True, set() + else: + errors = set() + for error in schema.error_log: + errors.add(error.message) + return False, errors + + except Exception as e: + return False, {str(e)} + + def _get_original_file_errors(self, xml_file): + if self.original_file is None: + return set() + + import tempfile + import zipfile + + xml_file = Path(xml_file).resolve() + unpacked_dir = self.unpacked_dir.resolve() + relative_path = xml_file.relative_to(unpacked_dir) + + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = Path(temp_dir) + + with zipfile.ZipFile(self.original_file, "r") as zip_ref: + zip_ref.extractall(temp_path) + + original_xml_file = temp_path / relative_path + + if not original_xml_file.exists(): + return set() + + is_valid, errors = self._validate_single_file_xsd( + original_xml_file, temp_path + ) + return errors if errors else set() + + def _remove_template_tags_from_text_nodes(self, xml_doc): + warnings = [] + template_pattern = re.compile(r"\{\{[^}]*\}\}") + + xml_string = lxml.etree.tostring(xml_doc, encoding="unicode") + xml_copy = lxml.etree.fromstring(xml_string) + + def process_text_content(text, content_type): + if not text: + return text + matches = list(template_pattern.finditer(text)) + if matches: + for match in matches: + warnings.append( + f"Found template tag in {content_type}: {match.group()}" + ) + return template_pattern.sub("", text) + return text + + for elem in xml_copy.iter(): + if not hasattr(elem, "tag") or callable(elem.tag): + continue + tag_str = str(elem.tag) + if tag_str.endswith("}t") or tag_str == "t": + continue + + elem.text = process_text_content(elem.text, "text content") + elem.tail = process_text_content(elem.tail, "tail content") + + return lxml.etree.ElementTree(xml_copy), warnings + + +if __name__ == "__main__": + raise RuntimeError("This module should not be run directly.") diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validators/docx.py b/.agents/skills/anthropics-xlsx/scripts/office/validators/docx.py new file mode 100644 index 0000000..fec405e --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validators/docx.py @@ -0,0 +1,446 @@ +""" +Validator for Word document XML files against XSD schemas. +""" + +import random +import re +import tempfile +import zipfile + +import defusedxml.minidom +import lxml.etree + +from .base import BaseSchemaValidator + + +class DOCXSchemaValidator(BaseSchemaValidator): + + WORD_2006_NAMESPACE = "http://schemas.openxmlformats.org/wordprocessingml/2006/main" + W14_NAMESPACE = "http://schemas.microsoft.com/office/word/2010/wordml" + W16CID_NAMESPACE = "http://schemas.microsoft.com/office/word/2016/wordml/cid" + + ELEMENT_RELATIONSHIP_TYPES = {} + + def validate(self): + if not self.validate_xml(): + return False + + all_valid = True + if not self.validate_namespaces(): + all_valid = False + + if not self.validate_unique_ids(): + all_valid = False + + if not self.validate_file_references(): + all_valid = False + + if not self.validate_content_types(): + all_valid = False + + if not self.validate_against_xsd(): + all_valid = False + + if not self.validate_whitespace_preservation(): + all_valid = False + + if not self.validate_deletions(): + all_valid = False + + if not self.validate_insertions(): + all_valid = False + + if not self.validate_all_relationship_ids(): + all_valid = False + + if not self.validate_id_constraints(): + all_valid = False + + if not self.validate_comment_markers(): + all_valid = False + + self.compare_paragraph_counts() + + return all_valid + + def validate_whitespace_preservation(self): + errors = [] + + for xml_file in self.xml_files: + if xml_file.name != "document.xml": + continue + + try: + root = lxml.etree.parse(str(xml_file)).getroot() + + for elem in root.iter(f"{{{self.WORD_2006_NAMESPACE}}}t"): + if elem.text: + text = elem.text + if re.search(r"^[ \t\n\r]", text) or re.search( + r"[ \t\n\r]$", text + ): + xml_space_attr = f"{{{self.XML_NAMESPACE}}}space" + if ( + xml_space_attr not in elem.attrib + or elem.attrib[xml_space_attr] != "preserve" + ): + text_preview = ( + repr(text)[:50] + "..." + if len(repr(text)) > 50 + else repr(text) + ) + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {elem.sourceline}: w:t element with whitespace missing xml:space='preserve': {text_preview}" + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} whitespace preservation violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All whitespace is properly preserved") + return True + + def validate_deletions(self): + errors = [] + + for xml_file in self.xml_files: + if xml_file.name != "document.xml": + continue + + try: + root = lxml.etree.parse(str(xml_file)).getroot() + namespaces = {"w": self.WORD_2006_NAMESPACE} + + for t_elem in root.xpath(".//w:del//w:t", namespaces=namespaces): + if t_elem.text: + text_preview = ( + repr(t_elem.text)[:50] + "..." + if len(repr(t_elem.text)) > 50 + else repr(t_elem.text) + ) + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {t_elem.sourceline}: found within : {text_preview}" + ) + + for instr_elem in root.xpath( + ".//w:del//w:instrText", namespaces=namespaces + ): + text_preview = ( + repr(instr_elem.text or "")[:50] + "..." + if len(repr(instr_elem.text or "")) > 50 + else repr(instr_elem.text or "") + ) + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {instr_elem.sourceline}: found within (use ): {text_preview}" + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} deletion validation violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - No w:t elements found within w:del elements") + return True + + def count_paragraphs_in_unpacked(self): + count = 0 + + for xml_file in self.xml_files: + if xml_file.name != "document.xml": + continue + + try: + root = lxml.etree.parse(str(xml_file)).getroot() + paragraphs = root.findall(f".//{{{self.WORD_2006_NAMESPACE}}}p") + count = len(paragraphs) + except Exception as e: + print(f"Error counting paragraphs in unpacked document: {e}") + + return count + + def count_paragraphs_in_original(self): + original = self.original_file + if original is None: + return 0 + + count = 0 + + try: + with tempfile.TemporaryDirectory() as temp_dir: + with zipfile.ZipFile(original, "r") as zip_ref: + zip_ref.extractall(temp_dir) + + doc_xml_path = temp_dir + "/word/document.xml" + root = lxml.etree.parse(doc_xml_path).getroot() + + paragraphs = root.findall(f".//{{{self.WORD_2006_NAMESPACE}}}p") + count = len(paragraphs) + + except Exception as e: + print(f"Error counting paragraphs in original document: {e}") + + return count + + def validate_insertions(self): + errors = [] + + for xml_file in self.xml_files: + if xml_file.name != "document.xml": + continue + + try: + root = lxml.etree.parse(str(xml_file)).getroot() + namespaces = {"w": self.WORD_2006_NAMESPACE} + + invalid_elements = root.xpath( + ".//w:ins//w:delText[not(ancestor::w:del)]", namespaces=namespaces + ) + + for elem in invalid_elements: + text_preview = ( + repr(elem.text or "")[:50] + "..." + if len(repr(elem.text or "")) > 50 + else repr(elem.text or "") + ) + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {elem.sourceline}: within : {text_preview}" + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} insertion validation violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - No w:delText elements within w:ins elements") + return True + + def compare_paragraph_counts(self): + original_count = self.count_paragraphs_in_original() + new_count = self.count_paragraphs_in_unpacked() + + diff = new_count - original_count + diff_str = f"+{diff}" if diff > 0 else str(diff) + print(f"\nParagraphs: {original_count} → {new_count} ({diff_str})") + + def _parse_id_value(self, val: str, base: int = 16) -> int: + return int(val, base) + + def validate_id_constraints(self): + errors = [] + para_id_attr = f"{{{self.W14_NAMESPACE}}}paraId" + durable_id_attr = f"{{{self.W16CID_NAMESPACE}}}durableId" + + for xml_file in self.xml_files: + try: + for elem in lxml.etree.parse(str(xml_file)).iter(): + if val := elem.get(para_id_attr): + if self._parse_id_value(val, base=16) >= 0x80000000: + errors.append( + f" {xml_file.name}:{elem.sourceline}: paraId={val} >= 0x80000000" + ) + + if val := elem.get(durable_id_attr): + if xml_file.name == "numbering.xml": + try: + if self._parse_id_value(val, base=10) >= 0x7FFFFFFF: + errors.append( + f" {xml_file.name}:{elem.sourceline}: " + f"durableId={val} >= 0x7FFFFFFF" + ) + except ValueError: + errors.append( + f" {xml_file.name}:{elem.sourceline}: " + f"durableId={val} must be decimal in numbering.xml" + ) + else: + if self._parse_id_value(val, base=16) >= 0x7FFFFFFF: + errors.append( + f" {xml_file.name}:{elem.sourceline}: " + f"durableId={val} >= 0x7FFFFFFF" + ) + except Exception: + pass + + if errors: + print(f"FAILED - {len(errors)} ID constraint violations:") + for e in errors: + print(e) + elif self.verbose: + print("PASSED - All paraId/durableId values within constraints") + return not errors + + def validate_comment_markers(self): + errors = [] + + document_xml = None + comments_xml = None + for xml_file in self.xml_files: + if xml_file.name == "document.xml" and "word" in str(xml_file): + document_xml = xml_file + elif xml_file.name == "comments.xml": + comments_xml = xml_file + + if not document_xml: + if self.verbose: + print("PASSED - No document.xml found (skipping comment validation)") + return True + + try: + doc_root = lxml.etree.parse(str(document_xml)).getroot() + namespaces = {"w": self.WORD_2006_NAMESPACE} + + range_starts = { + elem.get(f"{{{self.WORD_2006_NAMESPACE}}}id") + for elem in doc_root.xpath( + ".//w:commentRangeStart", namespaces=namespaces + ) + } + range_ends = { + elem.get(f"{{{self.WORD_2006_NAMESPACE}}}id") + for elem in doc_root.xpath( + ".//w:commentRangeEnd", namespaces=namespaces + ) + } + references = { + elem.get(f"{{{self.WORD_2006_NAMESPACE}}}id") + for elem in doc_root.xpath( + ".//w:commentReference", namespaces=namespaces + ) + } + + orphaned_ends = range_ends - range_starts + for comment_id in sorted( + orphaned_ends, key=lambda x: int(x) if x and x.isdigit() else 0 + ): + errors.append( + f' document.xml: commentRangeEnd id="{comment_id}" has no matching commentRangeStart' + ) + + orphaned_starts = range_starts - range_ends + for comment_id in sorted( + orphaned_starts, key=lambda x: int(x) if x and x.isdigit() else 0 + ): + errors.append( + f' document.xml: commentRangeStart id="{comment_id}" has no matching commentRangeEnd' + ) + + comment_ids = set() + if comments_xml and comments_xml.exists(): + comments_root = lxml.etree.parse(str(comments_xml)).getroot() + comment_ids = { + elem.get(f"{{{self.WORD_2006_NAMESPACE}}}id") + for elem in comments_root.xpath( + ".//w:comment", namespaces=namespaces + ) + } + + marker_ids = range_starts | range_ends | references + invalid_refs = marker_ids - comment_ids + for comment_id in sorted( + invalid_refs, key=lambda x: int(x) if x and x.isdigit() else 0 + ): + if comment_id: + errors.append( + f' document.xml: marker id="{comment_id}" references non-existent comment' + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append(f" Error parsing XML: {e}") + + if errors: + print(f"FAILED - {len(errors)} comment marker violations:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All comment markers properly paired") + return True + + def repair(self) -> int: + repairs = super().repair() + repairs += self.repair_durableId() + return repairs + + def repair_durableId(self) -> int: + repairs = 0 + + for xml_file in self.xml_files: + try: + content = xml_file.read_text(encoding="utf-8") + dom = defusedxml.minidom.parseString(content) + modified = False + + for elem in dom.getElementsByTagName("*"): + if not elem.hasAttribute("w16cid:durableId"): + continue + + durable_id = elem.getAttribute("w16cid:durableId") + needs_repair = False + + if xml_file.name == "numbering.xml": + try: + needs_repair = ( + self._parse_id_value(durable_id, base=10) >= 0x7FFFFFFF + ) + except ValueError: + needs_repair = True + else: + try: + needs_repair = ( + self._parse_id_value(durable_id, base=16) >= 0x7FFFFFFF + ) + except ValueError: + needs_repair = True + + if needs_repair: + value = random.randint(1, 0x7FFFFFFE) + if xml_file.name == "numbering.xml": + new_id = str(value) + else: + new_id = f"{value:08X}" + + elem.setAttribute("w16cid:durableId", new_id) + print( + f" Repaired: {xml_file.name}: durableId {durable_id} → {new_id}" + ) + repairs += 1 + modified = True + + if modified: + xml_file.write_bytes(dom.toxml(encoding="UTF-8")) + + except Exception: + pass + + return repairs + + +if __name__ == "__main__": + raise RuntimeError("This module should not be run directly.") diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validators/pptx.py b/.agents/skills/anthropics-xlsx/scripts/office/validators/pptx.py new file mode 100644 index 0000000..09842aa --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validators/pptx.py @@ -0,0 +1,275 @@ +""" +Validator for PowerPoint presentation XML files against XSD schemas. +""" + +import re + +from .base import BaseSchemaValidator + + +class PPTXSchemaValidator(BaseSchemaValidator): + + PRESENTATIONML_NAMESPACE = ( + "http://schemas.openxmlformats.org/presentationml/2006/main" + ) + + ELEMENT_RELATIONSHIP_TYPES = { + "sldid": "slide", + "sldmasterid": "slidemaster", + "notesmasterid": "notesmaster", + "sldlayoutid": "slidelayout", + "themeid": "theme", + "tablestyleid": "tablestyles", + } + + def validate(self): + if not self.validate_xml(): + return False + + all_valid = True + if not self.validate_namespaces(): + all_valid = False + + if not self.validate_unique_ids(): + all_valid = False + + if not self.validate_uuid_ids(): + all_valid = False + + if not self.validate_file_references(): + all_valid = False + + if not self.validate_slide_layout_ids(): + all_valid = False + + if not self.validate_content_types(): + all_valid = False + + if not self.validate_against_xsd(): + all_valid = False + + if not self.validate_notes_slide_references(): + all_valid = False + + if not self.validate_all_relationship_ids(): + all_valid = False + + if not self.validate_no_duplicate_slide_layouts(): + all_valid = False + + return all_valid + + def validate_uuid_ids(self): + import lxml.etree + + errors = [] + uuid_pattern = re.compile( + r"^[\{\(]?[0-9A-Fa-f]{8}-?[0-9A-Fa-f]{4}-?[0-9A-Fa-f]{4}-?[0-9A-Fa-f]{4}-?[0-9A-Fa-f]{12}[\}\)]?$" + ) + + for xml_file in self.xml_files: + try: + root = lxml.etree.parse(str(xml_file)).getroot() + + for elem in root.iter(): + for attr, value in elem.attrib.items(): + attr_name = attr.split("}")[-1].lower() + if attr_name == "id" or attr_name.endswith("id"): + if self._looks_like_uuid(value): + if not uuid_pattern.match(value): + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: " + f"Line {elem.sourceline}: ID '{value}' appears to be a UUID but contains invalid hex characters" + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {xml_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} UUID ID validation errors:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All UUID-like IDs contain valid hex values") + return True + + def _looks_like_uuid(self, value): + clean_value = value.strip("{}()").replace("-", "") + return len(clean_value) == 32 and all(c.isalnum() for c in clean_value) + + def validate_slide_layout_ids(self): + import lxml.etree + + errors = [] + + slide_masters = list(self.unpacked_dir.glob("ppt/slideMasters/*.xml")) + + if not slide_masters: + if self.verbose: + print("PASSED - No slide masters found") + return True + + for slide_master in slide_masters: + try: + root = lxml.etree.parse(str(slide_master)).getroot() + + rels_file = slide_master.parent / "_rels" / f"{slide_master.name}.rels" + + if not rels_file.exists(): + errors.append( + f" {slide_master.relative_to(self.unpacked_dir)}: " + f"Missing relationships file: {rels_file.relative_to(self.unpacked_dir)}" + ) + continue + + rels_root = lxml.etree.parse(str(rels_file)).getroot() + + valid_layout_rids = set() + for rel in rels_root.findall( + f".//{{{self.PACKAGE_RELATIONSHIPS_NAMESPACE}}}Relationship" + ): + rel_type = rel.get("Type", "") + if "slideLayout" in rel_type: + valid_layout_rids.add(rel.get("Id")) + + for sld_layout_id in root.findall( + f".//{{{self.PRESENTATIONML_NAMESPACE}}}sldLayoutId" + ): + r_id = sld_layout_id.get( + f"{{{self.OFFICE_RELATIONSHIPS_NAMESPACE}}}id" + ) + layout_id = sld_layout_id.get("id") + + if r_id and r_id not in valid_layout_rids: + errors.append( + f" {slide_master.relative_to(self.unpacked_dir)}: " + f"Line {sld_layout_id.sourceline}: sldLayoutId with id='{layout_id}' " + f"references r:id='{r_id}' which is not found in slide layout relationships" + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {slide_master.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print(f"FAILED - Found {len(errors)} slide layout ID validation errors:") + for error in errors: + print(error) + print( + "Remove invalid references or add missing slide layouts to the relationships file." + ) + return False + else: + if self.verbose: + print("PASSED - All slide layout IDs reference valid slide layouts") + return True + + def validate_no_duplicate_slide_layouts(self): + import lxml.etree + + errors = [] + slide_rels_files = list(self.unpacked_dir.glob("ppt/slides/_rels/*.xml.rels")) + + for rels_file in slide_rels_files: + try: + root = lxml.etree.parse(str(rels_file)).getroot() + + layout_rels = [ + rel + for rel in root.findall( + f".//{{{self.PACKAGE_RELATIONSHIPS_NAMESPACE}}}Relationship" + ) + if "slideLayout" in rel.get("Type", "") + ] + + if len(layout_rels) > 1: + errors.append( + f" {rels_file.relative_to(self.unpacked_dir)}: has {len(layout_rels)} slideLayout references" + ) + + except Exception as e: + errors.append( + f" {rels_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + if errors: + print("FAILED - Found slides with duplicate slideLayout references:") + for error in errors: + print(error) + return False + else: + if self.verbose: + print("PASSED - All slides have exactly one slideLayout reference") + return True + + def validate_notes_slide_references(self): + import lxml.etree + + errors = [] + notes_slide_references = {} + + slide_rels_files = list(self.unpacked_dir.glob("ppt/slides/_rels/*.xml.rels")) + + if not slide_rels_files: + if self.verbose: + print("PASSED - No slide relationship files found") + return True + + for rels_file in slide_rels_files: + try: + root = lxml.etree.parse(str(rels_file)).getroot() + + for rel in root.findall( + f".//{{{self.PACKAGE_RELATIONSHIPS_NAMESPACE}}}Relationship" + ): + rel_type = rel.get("Type", "") + if "notesSlide" in rel_type: + target = rel.get("Target", "") + if target: + normalized_target = target.replace("../", "") + + slide_name = rels_file.stem.replace( + ".xml", "" + ) + + if normalized_target not in notes_slide_references: + notes_slide_references[normalized_target] = [] + notes_slide_references[normalized_target].append( + (slide_name, rels_file) + ) + + except (lxml.etree.XMLSyntaxError, Exception) as e: + errors.append( + f" {rels_file.relative_to(self.unpacked_dir)}: Error: {e}" + ) + + for target, references in notes_slide_references.items(): + if len(references) > 1: + slide_names = [ref[0] for ref in references] + errors.append( + f" Notes slide '{target}' is referenced by multiple slides: {', '.join(slide_names)}" + ) + for slide_name, rels_file in references: + errors.append(f" - {rels_file.relative_to(self.unpacked_dir)}") + + if errors: + print( + f"FAILED - Found {len([e for e in errors if not e.startswith(' ')])} notes slide reference validation errors:" + ) + for error in errors: + print(error) + print("Each slide may optionally have its own slide file.") + return False + else: + if self.verbose: + print("PASSED - All notes slide references are unique") + return True + + +if __name__ == "__main__": + raise RuntimeError("This module should not be run directly.") diff --git a/.agents/skills/anthropics-xlsx/scripts/office/validators/redlining.py b/.agents/skills/anthropics-xlsx/scripts/office/validators/redlining.py new file mode 100644 index 0000000..71c81b6 --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/office/validators/redlining.py @@ -0,0 +1,247 @@ +""" +Validator for tracked changes in Word documents. +""" + +import subprocess +import tempfile +import zipfile +from pathlib import Path + + +class RedliningValidator: + + def __init__(self, unpacked_dir, original_docx, verbose=False, author="Claude"): + self.unpacked_dir = Path(unpacked_dir) + self.original_docx = Path(original_docx) + self.verbose = verbose + self.author = author + self.namespaces = { + "w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main" + } + + def repair(self) -> int: + return 0 + + def validate(self): + modified_file = self.unpacked_dir / "word" / "document.xml" + if not modified_file.exists(): + print(f"FAILED - Modified document.xml not found at {modified_file}") + return False + + try: + import xml.etree.ElementTree as ET + + tree = ET.parse(modified_file) + root = tree.getroot() + + del_elements = root.findall(".//w:del", self.namespaces) + ins_elements = root.findall(".//w:ins", self.namespaces) + + author_del_elements = [ + elem + for elem in del_elements + if elem.get(f"{{{self.namespaces['w']}}}author") == self.author + ] + author_ins_elements = [ + elem + for elem in ins_elements + if elem.get(f"{{{self.namespaces['w']}}}author") == self.author + ] + + if not author_del_elements and not author_ins_elements: + if self.verbose: + print(f"PASSED - No tracked changes by {self.author} found.") + return True + + except Exception: + pass + + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = Path(temp_dir) + + try: + with zipfile.ZipFile(self.original_docx, "r") as zip_ref: + zip_ref.extractall(temp_path) + except Exception as e: + print(f"FAILED - Error unpacking original docx: {e}") + return False + + original_file = temp_path / "word" / "document.xml" + if not original_file.exists(): + print( + f"FAILED - Original document.xml not found in {self.original_docx}" + ) + return False + + try: + import xml.etree.ElementTree as ET + + modified_tree = ET.parse(modified_file) + modified_root = modified_tree.getroot() + original_tree = ET.parse(original_file) + original_root = original_tree.getroot() + except ET.ParseError as e: + print(f"FAILED - Error parsing XML files: {e}") + return False + + self._remove_author_tracked_changes(original_root) + self._remove_author_tracked_changes(modified_root) + + modified_text = self._extract_text_content(modified_root) + original_text = self._extract_text_content(original_root) + + if modified_text != original_text: + error_message = self._generate_detailed_diff( + original_text, modified_text + ) + print(error_message) + return False + + if self.verbose: + print(f"PASSED - All changes by {self.author} are properly tracked") + return True + + def _generate_detailed_diff(self, original_text, modified_text): + error_parts = [ + f"FAILED - Document text doesn't match after removing {self.author}'s tracked changes", + "", + "Likely causes:", + " 1. Modified text inside another author's or tags", + " 2. Made edits without proper tracked changes", + " 3. Didn't nest inside when deleting another's insertion", + "", + "For pre-redlined documents, use correct patterns:", + " - To reject another's INSERTION: Nest inside their ", + " - To restore another's DELETION: Add new AFTER their ", + "", + ] + + git_diff = self._get_git_word_diff(original_text, modified_text) + if git_diff: + error_parts.extend(["Differences:", "============", git_diff]) + else: + error_parts.append("Unable to generate word diff (git not available)") + + return "\n".join(error_parts) + + def _get_git_word_diff(self, original_text, modified_text): + try: + with tempfile.TemporaryDirectory() as temp_dir: + temp_path = Path(temp_dir) + + original_file = temp_path / "original.txt" + modified_file = temp_path / "modified.txt" + + original_file.write_text(original_text, encoding="utf-8") + modified_file.write_text(modified_text, encoding="utf-8") + + result = subprocess.run( + [ + "git", + "diff", + "--word-diff=plain", + "--word-diff-regex=.", + "-U0", + "--no-index", + str(original_file), + str(modified_file), + ], + capture_output=True, + text=True, + ) + + if result.stdout.strip(): + lines = result.stdout.split("\n") + content_lines = [] + in_content = False + for line in lines: + if line.startswith("@@"): + in_content = True + continue + if in_content and line.strip(): + content_lines.append(line) + + if content_lines: + return "\n".join(content_lines) + + result = subprocess.run( + [ + "git", + "diff", + "--word-diff=plain", + "-U0", + "--no-index", + str(original_file), + str(modified_file), + ], + capture_output=True, + text=True, + ) + + if result.stdout.strip(): + lines = result.stdout.split("\n") + content_lines = [] + in_content = False + for line in lines: + if line.startswith("@@"): + in_content = True + continue + if in_content and line.strip(): + content_lines.append(line) + return "\n".join(content_lines) + + except (subprocess.CalledProcessError, FileNotFoundError, Exception): + pass + + return None + + def _remove_author_tracked_changes(self, root): + ins_tag = f"{{{self.namespaces['w']}}}ins" + del_tag = f"{{{self.namespaces['w']}}}del" + author_attr = f"{{{self.namespaces['w']}}}author" + + for parent in root.iter(): + to_remove = [] + for child in parent: + if child.tag == ins_tag and child.get(author_attr) == self.author: + to_remove.append(child) + for elem in to_remove: + parent.remove(elem) + + deltext_tag = f"{{{self.namespaces['w']}}}delText" + t_tag = f"{{{self.namespaces['w']}}}t" + + for parent in root.iter(): + to_process = [] + for child in parent: + if child.tag == del_tag and child.get(author_attr) == self.author: + to_process.append((child, list(parent).index(child))) + + for del_elem, del_index in reversed(to_process): + for elem in del_elem.iter(): + if elem.tag == deltext_tag: + elem.tag = t_tag + + for child in reversed(list(del_elem)): + parent.insert(del_index, child) + parent.remove(del_elem) + + def _extract_text_content(self, root): + p_tag = f"{{{self.namespaces['w']}}}p" + t_tag = f"{{{self.namespaces['w']}}}t" + + paragraphs = [] + for p_elem in root.findall(f".//{p_tag}"): + text_parts = [] + for t_elem in p_elem.findall(f".//{t_tag}"): + if t_elem.text: + text_parts.append(t_elem.text) + paragraph_text = "".join(text_parts) + if paragraph_text: + paragraphs.append(paragraph_text) + + return "\n".join(paragraphs) + + +if __name__ == "__main__": + raise RuntimeError("This module should not be run directly.") diff --git a/.agents/skills/anthropics-xlsx/scripts/recalc.py b/.agents/skills/anthropics-xlsx/scripts/recalc.py new file mode 100644 index 0000000..f472e9a --- /dev/null +++ b/.agents/skills/anthropics-xlsx/scripts/recalc.py @@ -0,0 +1,184 @@ +""" +Excel Formula Recalculation Script +Recalculates all formulas in an Excel file using LibreOffice +""" + +import json +import os +import platform +import subprocess +import sys +from pathlib import Path + +from office.soffice import get_soffice_env + +from openpyxl import load_workbook + +MACRO_DIR_MACOS = "~/Library/Application Support/LibreOffice/4/user/basic/Standard" +MACRO_DIR_LINUX = "~/.config/libreoffice/4/user/basic/Standard" +MACRO_FILENAME = "Module1.xba" + +RECALCULATE_MACRO = """ + + + Sub RecalculateAndSave() + ThisComponent.calculateAll() + ThisComponent.store() + ThisComponent.close(True) + End Sub +""" + + +def has_gtimeout(): + try: + subprocess.run( + ["gtimeout", "--version"], capture_output=True, timeout=1, check=False + ) + return True + except (FileNotFoundError, subprocess.TimeoutExpired): + return False + + +def setup_libreoffice_macro(): + macro_dir = os.path.expanduser( + MACRO_DIR_MACOS if platform.system() == "Darwin" else MACRO_DIR_LINUX + ) + macro_file = os.path.join(macro_dir, MACRO_FILENAME) + + if ( + os.path.exists(macro_file) + and "RecalculateAndSave" in Path(macro_file).read_text() + ): + return True + + if not os.path.exists(macro_dir): + subprocess.run( + ["soffice", "--headless", "--terminate_after_init"], + capture_output=True, + timeout=10, + env=get_soffice_env(), + ) + os.makedirs(macro_dir, exist_ok=True) + + try: + Path(macro_file).write_text(RECALCULATE_MACRO) + return True + except Exception: + return False + + +def recalc(filename, timeout=30): + if not Path(filename).exists(): + return {"error": f"File {filename} does not exist"} + + abs_path = str(Path(filename).absolute()) + + if not setup_libreoffice_macro(): + return {"error": "Failed to setup LibreOffice macro"} + + cmd = [ + "soffice", + "--headless", + "--norestore", + "vnd.sun.star.script:Standard.Module1.RecalculateAndSave?language=Basic&location=application", + abs_path, + ] + + if platform.system() == "Linux": + cmd = ["timeout", str(timeout)] + cmd + elif platform.system() == "Darwin" and has_gtimeout(): + cmd = ["gtimeout", str(timeout)] + cmd + + result = subprocess.run(cmd, capture_output=True, text=True, env=get_soffice_env()) + + if result.returncode != 0 and result.returncode != 124: + error_msg = result.stderr or "Unknown error during recalculation" + if "Module1" in error_msg or "RecalculateAndSave" not in error_msg: + return {"error": "LibreOffice macro not configured properly"} + return {"error": error_msg} + + try: + wb = load_workbook(filename, data_only=True) + + excel_errors = [ + "#VALUE!", + "#DIV/0!", + "#REF!", + "#NAME?", + "#NULL!", + "#NUM!", + "#N/A", + ] + error_details = {err: [] for err in excel_errors} + total_errors = 0 + + for sheet_name in wb.sheetnames: + ws = wb[sheet_name] + for row in ws.iter_rows(): + for cell in row: + if cell.value is not None and isinstance(cell.value, str): + for err in excel_errors: + if err in cell.value: + location = f"{sheet_name}!{cell.coordinate}" + error_details[err].append(location) + total_errors += 1 + break + + wb.close() + + result = { + "status": "success" if total_errors == 0 else "errors_found", + "total_errors": total_errors, + "error_summary": {}, + } + + for err_type, locations in error_details.items(): + if locations: + result["error_summary"][err_type] = { + "count": len(locations), + "locations": locations[:20], + } + + wb_formulas = load_workbook(filename, data_only=False) + formula_count = 0 + for sheet_name in wb_formulas.sheetnames: + ws = wb_formulas[sheet_name] + for row in ws.iter_rows(): + for cell in row: + if ( + cell.value + and isinstance(cell.value, str) + and cell.value.startswith("=") + ): + formula_count += 1 + wb_formulas.close() + + result["total_formulas"] = formula_count + + return result + + except Exception as e: + return {"error": str(e)} + + +def main(): + if len(sys.argv) < 2: + print("Usage: python recalc.py [timeout_seconds]") + print("\nRecalculates all formulas in an Excel file using LibreOffice") + print("\nReturns JSON with error details:") + print(" - status: 'success' or 'errors_found'") + print(" - total_errors: Total number of Excel errors found") + print(" - total_formulas: Number of formulas in the file") + print(" - error_summary: Breakdown by error type with locations") + print(" - #VALUE!, #DIV/0!, #REF!, #NAME?, #NULL!, #NUM!, #N/A") + sys.exit(1) + + filename = sys.argv[1] + timeout = int(sys.argv[2]) if len(sys.argv) > 2 else 30 + + result = recalc(filename, timeout) + print(json.dumps(result, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/.claude/settings.local.json b/.claude/settings.local.json new file mode 100644 index 0000000..babb628 --- /dev/null +++ b/.claude/settings.local.json @@ -0,0 +1,33 @@ +{ + "permissions": { + "allow": [ + "WebSearch", + "Bash(cat \"/Users/leivur/.claude/projects/-Users-leivur-Documents-VSCode-hp-prod-tracker/3168d0b4-c7f3-473d-8c2c-92ef70d0b84a/tool-results/toolu_018M1vJGS1B4reovdEqq5dRE.json\" | python3 -c \"import json,sys; data=json.load\\(sys.stdin\\); print\\(data[0]['text']\\)\" 2>/dev/null | head -500)", + "Bash(cat \"/Users/leivur/.claude/projects/-Users-leivur-Documents-VSCode-hp-prod-tracker/3168d0b4-c7f3-473d-8c2c-92ef70d0b84a/tool-results/toolu_018M1vJGS1B4reovdEqq5dRE.json\" | python3 -c \"import json,sys; data=json.load\\(sys.stdin\\); print\\(data[0]['text']\\)\" 2>/dev/null | tail -n +501 | head -500)", + "Bash(cat \"/Users/leivur/.claude/projects/-Users-leivur-Documents-VSCode-hp-prod-tracker/3168d0b4-c7f3-473d-8c2c-92ef70d0b84a/tool-results/toolu_018M1vJGS1B4reovdEqq5dRE.json\" | python3 -c \"import json,sys; data=json.load\\(sys.stdin\\); print\\(data[0]['text']\\)\" 2>/dev/null | tail -n +1001)", + "Bash(claude skills --help 2>&1 || echo \"No such command\")", + "Bash(claude plugin --help 2>&1)", + "Bash(claude mcp --help 2>&1)", + "Bash(claude plugin list 2>&1)", + "Bash(claude mcp list 2>&1)", + "Bash(find /Users/leivur -path \"*/.claude/.agents/skills*\" -type d 2>/dev/null | head -20)", + "Bash(claude plugin uninstall --help 2>&1)", + "Bash(claude mcp remove firebase 2>&1; claude mcp remove stripe 2>&1; claude mcp remove linear 2>&1; claude mcp remove asana 2>&1; claude mcp remove gitlab 2>&1; claude mcp remove greptile 2>&1; claude mcp remove laravel-boost 2>&1; claude mcp remove serena 2>&1)", + "Bash(cd /Users/leivur/.claude/plugins/marketplaces/claude-plugins-official/external_plugins && rm -rf firebase stripe linear asana gitlab greptile laravel-boost serena && echo \"Removed 8 MCP plugins\" && ls)", + "Bash(cd /Users/leivur/Documents/VSCode/hp_prod_tracker/.claude/skills && rm -rf anthropics-applying-brand-guidelines anthropics-skill-creator anthropics-skill-development anthropics-mcp-integration && echo \"Removed 4 skills\" && ls)", + "WebFetch(domain:www.oliver.agency)", + "WebFetch(domain:thebrandtechgroup.com)", + "Bash(node --version && npm --version && npx --version)" + "Edit", + "MultiEdit", + "Bash(npm run lint*)", + "Bash(nmp run test*)" + ], + "deny":[ + "Bash(rm -rf *)", + "Bash(rm *)", + "Bash(sudo *)", + "Bash(curl *)" + ] + } +} diff --git a/.claude/skills/anthropics-frontend-design b/.claude/skills/anthropics-frontend-design new file mode 120000 index 0000000..bd11905 --- /dev/null +++ b/.claude/skills/anthropics-frontend-design @@ -0,0 +1 @@ +../../.agents/skills/anthropics-frontend-design \ No newline at end of file diff --git a/.claude/skills/anthropics-theme-factory b/.claude/skills/anthropics-theme-factory new file mode 120000 index 0000000..c4fffc3 --- /dev/null +++ b/.claude/skills/anthropics-theme-factory @@ -0,0 +1 @@ +../../.agents/skills/anthropics-theme-factory \ No newline at end of file diff --git a/.claude/skills/anthropics-webapp-testing b/.claude/skills/anthropics-webapp-testing new file mode 120000 index 0000000..8adc9b1 --- /dev/null +++ b/.claude/skills/anthropics-webapp-testing @@ -0,0 +1 @@ +../../.agents/skills/anthropics-webapp-testing \ No newline at end of file diff --git a/.claude/skills/anthropics-xlsx b/.claude/skills/anthropics-xlsx new file mode 120000 index 0000000..c9ba4d1 --- /dev/null +++ b/.claude/skills/anthropics-xlsx @@ -0,0 +1 @@ +../../.agents/skills/anthropics-xlsx \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..704eaca --- /dev/null +++ b/.gitignore @@ -0,0 +1,40 @@ +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* +.pnpm-debug.log* + +# env files +.env +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/.nvmrc b/.nvmrc new file mode 100644 index 0000000..2bd5a0a --- /dev/null +++ b/.nvmrc @@ -0,0 +1 @@ +22 diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000..5e4663f --- /dev/null +++ b/.prettierignore @@ -0,0 +1,5 @@ +node_modules +.next +out +dist +prisma/migrations diff --git a/.prettierrc b/.prettierrc new file mode 100644 index 0000000..35bfe79 --- /dev/null +++ b/.prettierrc @@ -0,0 +1,7 @@ +{ + "semi": true, + "singleQuote": false, + "tabWidth": 2, + "trailingComma": "es5", + "plugins": ["prettier-plugin-tailwindcss"] +} diff --git a/IMPLEMENTATION_PLAN.md b/IMPLEMENTATION_PLAN.md new file mode 100644 index 0000000..dd9281e --- /dev/null +++ b/IMPLEMENTATION_PLAN.md @@ -0,0 +1,313 @@ +# HP CG Production Tracker — Implementation Plan + +## Context + +The CG department creates product renders for HP. Producers currently manage projects across fragmented tools (Workfront, Excel, OMG platform) with no unified view of pipeline status, artist workload, or delivery timelines. This app replaces that fragmentation with a single purpose-built tracker — similar to Monday.com but tailored to the department's specific CG pipeline stages and dependency rules. + +--- + +## Confirmed Requirements + +| Aspect | Decision | +|--------|----------| +| Platform | Web app (browser) | +| Framework | Next.js 15 (App Router, full-stack) | +| Database | PostgreSQL + Prisma ORM | +| Auth | SSO (Google / Microsoft Entra ID) via Auth.js v5 | +| Team size | 10-30 concurrent users | +| Roles | Producer (manage everything) + Artist (view assignments, update status) | +| Real-time | Not needed V1 (manual refresh) | +| Notifications | In-app only (bell icon) | +| Integrations V1 | Excel import/export | +| Revisions | Track rounds with feedback notes, version history, round count | +| Theme | Light + Dark mode with system preference detection | +| Design style | Oliver Agency / Brandtech Group — corporate-minimalist, Montserrat + Inter | + +--- + +## Pipeline Stages & Dependencies + +``` +Brief Intake → File Delivery → Model Prep ──→ Early Images (optional) + │ GATE + ▼ + Catalog Images + │ GATE + ┌───────┬───────┼───────┬──────────┐ + ▼ ▼ ▼ ▼ ▼ + Hero Packaging Photo 360 Spin Dynamic + Images Images comps Animations Spin +``` + +- **Nothing starts** without Brief + Model Prep complete +- **Catalog Images** must be approved before Hero, Packaging, Photocomps, or Animations can begin +- Early Images is optional (can be skipped) +- Stages 6-10 run in parallel once Catalog is approved + +--- + +## Tech Stack + +### Core +- **Next.js 15** — App Router, React Server Components, Turbopack +- **TypeScript 5.x** — Full type safety +- **PostgreSQL 16** + **Prisma 6.x** — Relational data model with type-safe queries +- **Auth.js v5** + `@auth/prisma-adapter` — SSO (Google + Microsoft Entra ID) + +### UI +- **shadcn/ui** — Component library (Radix + Tailwind) +- **Tailwind CSS 4.x** — Styling +- **@tanstack/react-table v8** — Table/spreadsheet view +- **@hello-pangea/dnd** — Kanban drag-and-drop +- **recharts** — Dashboard charts +- **@svar/react-gantt** — Timeline/Gantt view + +### State & Data +- **@tanstack/react-query v5** — Server state (fetching, caching, mutations) +- **zustand** — Client UI state (sidebar, view mode, filters) +- **nuqs** — URL-synced filter/sort state + +### Excel +- **exceljs** — Server-side Excel generation (export) +- **xlsx (SheetJS)** — Client-side Excel parsing (import) + +### Forms & Validation +- **zod** — Schema validation (API + forms + Excel rows) +- **react-hook-form** + `@hookform/resolvers` — Form management + +### Utilities +- **date-fns** — Date formatting +- **sonner** — Toast notifications +- **cmdk** — Command palette (Cmd+K) +- **lucide-react** — Icons +- **next-themes** — Light/dark mode toggle with system preference detection + +--- + +## Design System + +Inspired by the Oliver Agency / Brandtech Group visual identity: corporate-minimalist, clean geometry, strong typographic hierarchy, generous whitespace. Adapted for a production-tracking tool with data-dense views. + +### Typography + +| Role | Font | Weight | Notes | +|------|------|--------|-------| +| Headings | **Montserrat** | 600, 700 | Oliver's primary brand font (Google Fonts) | +| Body / UI | **Inter** | 400, 500, 600 | Highly legible at small sizes for tables and data | +| Monospace | **JetBrains Mono** | 400 | Project codes, timestamps, technical data | + +### Color Palette + +#### Light Mode + +| Token | Hex | Usage | +|-------|-----|-------| +| `--background` | `#FFFFFF` | Page background | +| `--foreground` | `#0A0A0A` | Primary text | +| `--muted` | `#F5F5F5` | Secondary backgrounds (sidebar, cards) | +| `--muted-foreground` | `#6B7280` | Secondary text, placeholders | +| `--border` | `#E5E7EB` | Dividers, card borders | +| `--primary` | `#08402C` | Primary actions (Oliver teal-green) | +| `--primary-foreground` | `#FFFFFF` | Text on primary | +| `--accent` | `#EE5540` | Alerts, urgent items, notifications (Oliver flamingo) | +| `--accent-foreground` | `#FFFFFF` | Text on accent | +| `--ring` | `#08402C` | Focus rings | + +#### Dark Mode + +| Token | Hex | Usage | +|-------|-----|-------| +| `--background` | `#0A0A0A` | Page background | +| `--foreground` | `#F5F5F5` | Primary text | +| `--muted` | `#171717` | Secondary backgrounds (sidebar, cards) | +| `--muted-foreground` | `#9CA3AF` | Secondary text | +| `--border` | `#262626` | Dividers, card borders | +| `--primary` | `#0FA968` | Primary actions (teal-green, brightened for dark bg) | +| `--primary-foreground` | `#FFFFFF` | Text on primary | +| `--accent` | `#F2725E` | Alerts, urgent items (flamingo, softened for dark bg) | +| `--accent-foreground` | `#FFFFFF` | Text on accent | +| `--ring` | `#0FA968` | Focus rings | + +#### Semantic Status Colors (both modes) + +| Status | Light | Dark | Usage | +|--------|-------|------|-------| +| Blocked | `#DC2626` | `#EF4444` | Blocked stages | +| Not Started | `#6B7280` | `#9CA3AF` | Pending work | +| In Progress | `#2563EB` | `#60A5FA` | Active work | +| In Review | `#D97706` | `#FBBF24` | Awaiting approval | +| Approved | `#16A34A` | `#4ADE80` | Completed/approved | +| Skipped | `#9CA3AF` | `#6B7280` | Optional stages skipped | + +### Design Principles + +1. **Corporate-minimalist** — Clean lines, no decorative elements, content-first +2. **Dense but breathable** — Tables and boards show lots of data with consistent spacing (8px grid) +3. **Strong hierarchy** — Montserrat bold headings, clear size steps (14/16/20/24/32px) +4. **Restrained color** — Mostly neutral with teal-green for primary actions, flamingo reserved for urgency/alerts +5. **Photography-free** — Icons and data visualization only, no stock imagery + +### Component Styling + +- **Cards** — `border` color border, subtle shadow in light mode (`shadow-sm`), no shadow in dark mode +- **Buttons** — Primary: teal-green bg, white text, no border-radius excess (`rounded-md`). Secondary: ghost/outline style +- **Tables** — Alternating row shading using `muted`, sticky headers, compact row height (40px) +- **Sidebar** — `muted` background, 256px width, collapsible to 64px icon-only +- **Navigation** — Horizontal topbar with breadcrumbs, sticky at top +- **Status badges** — Pill-shaped, semantic color bg with matching text, uppercase small font +- **Kanban cards** — White/dark card on muted board bg, left border accent by status color + +### Theme Toggle + +- `next-themes` with `attribute="class"` strategy for Tailwind dark mode +- Three options: Light / Dark / System +- Toggle in topbar settings area +- Persisted in `localStorage`, respects `prefers-color-scheme` on first visit + +--- + +## Data Model (Prisma) + +### Key Entities + +**Organization** → has many Users, Projects +**User** → role (ADMIN/PRODUCER/ARTIST), SSO accounts, assignments, notifications +**Project** → projectCode, status, priority, dates → has many Deliverables +**Deliverable** → name, status, priority, dueDate → has many DeliverableStages (auto-created: all 10) +**PipelineStageTemplate** → seed data for 10 stages + dependency rules (isCriticalGate, isOptional) +**PipelineStageDependency** → which stages depend on which (seed data) +**DeliverableStage** → instance per deliverable, tracks status/dates/revisionRound → has Assignments, Revisions, Comments +**StageAssignment** → links User to DeliverableStage with optional role ("Lead"/"Support") +**Revision** → round number, status, feedback notes, internal notes, attachments (JSON) +**Comment** → threaded (parentId), per stage +**Notification** → type, title, message, link, isRead + +### Dependency Enforcement Logic +1. When a deliverable is created → auto-create 10 DeliverableStage records. Stages with unmet prerequisites start as `BLOCKED` +2. Before a stage moves to `IN_PROGRESS` → check all prerequisite stages are `APPROVED` (or `SKIPPED` if optional) +3. When a critical gate is `APPROVED` → automatically unblock downstream stages (BLOCKED → NOT_STARTED) + +--- + +## Application Architecture + +### Folder Structure (abbreviated) +``` +src/ +├── app/ +│ ├── (auth)/login/ # SSO login page +│ ├── (app)/ # Authenticated routes +│ │ ├── dashboard/ # KPI dashboard +│ │ ├── projects/ # Project list + CRUD +│ │ │ └── [projectId]/ # Project detail + views +│ │ │ ├── table/ # Spreadsheet view +│ │ │ ├── board/ # Kanban view +│ │ │ ├── timeline/ # Gantt view +│ │ │ └── deliverables/[deliverableId]/ # Pipeline stages +│ │ ├── my-work/ # Artist's assignments +│ │ ├── notifications/ # Notification history +│ │ └── settings/ # User + org settings +│ └── api/ # REST API routes +│ ├── auth/[...nextauth]/ +│ ├── projects/ # CRUD + nested deliverables/stages +│ ├── users/ # List org users +│ ├── notifications/ # List + mark read +│ ├── import/excel/ # Upload + parse +│ ├── export/excel/ # Generate + download +│ └── dashboard/stats/ # KPI aggregations +├── components/ +│ ├── ui/ # shadcn/ui primitives +│ ├── layout/ # Sidebar, topbar, breadcrumbs, notification bell +│ ├── views/ # Table, Board, Timeline, Dashboard view components +│ ├── deliverables/ # Pipeline progress visualizer +│ ├── stages/ # Stage cards, status badges, dependency graph +│ ├── revisions/ # Revision timeline, forms +│ └── excel/ # Import dialog, export button, column mapper +├── lib/ +│ ├── auth.ts # Auth.js config +│ ├── prisma.ts # Singleton client +│ ├── pipeline/ +│ │ ├── dependency-engine.ts # Pure dependency validation functions +│ │ └── stage-machine.ts # State transitions +│ ├── services/ # Business logic (project, deliverable, stage, revision, notification, excel, dashboard) +│ └── validators/ # Zod schemas +├── hooks/ # TanStack Query hooks per entity +├── stores/ # Zustand (UI state, filter state) +└── types/ # Shared TypeScript types +``` + +### Key Patterns +- **Thin API routes** → delegate to service layer for all business logic +- **Service layer** → encapsulates Prisma queries + business rules (testable, reusable) +- **Dependency engine as pure functions** → `canStageStart()` returns `{ allowed, reason }`, used both server-side and potentially client-side +- **URL-synced filters** via `nuqs` → views are shareable/bookmarkable +- **Server Components** for initial data fetch, **TanStack Query** for client-side mutations/cache + +--- + +## Four Main Views + +1. **Table View** — TanStack Table + shadcn/ui. Server-side pagination. Multi-column sort, faceted filters (status, stage, artist, priority, date). Column visibility toggle. URL-persisted state. + +2. **Board View** — Kanban with drag-and-drop. Group by Status or by Stage. Drag triggers PATCH with dependency validation; blocked moves snap back with toast error. + +3. **Timeline View** — Gantt chart (SVAR). Deliverables as rows, stages as task bars. Dependency arrows. Color-coded by status. Day/week/month zoom. Read-only V1. + +4. **Dashboard View** — KPI cards (active projects, in-progress, overdue, avg revisions). Charts: deliverables by stage, delivery trend, on-time rate, artist workload. Overdue alerts list. + +--- + +## Phased Build Plan + +### Phase 1: Foundation +- Project scaffolding (Next.js, TS, Tailwind, ESLint, Prettier) +- Design system setup (Tailwind theme tokens, Montserrat + Inter fonts, light/dark CSS variables) +- `next-themes` integration with light/dark/system toggle +- Prisma schema + migrations + seed (pipeline templates + dependencies) +- Auth.js SSO (Google + Microsoft) with domain validation +- shadcn/ui component installation + theme customization to match design system +- App shell layout (sidebar, topbar, breadcrumbs, theme toggle) +- Project CRUD (API + pages + forms) +- Deliverable CRUD (API + pages, auto-create 10 stages) +- User management (list, role assignment) + +### Phase 2: Core Pipeline & Views +- Dependency engine + stage state machine +- Stage status management with dependency enforcement +- Artist assignment system + "My Work" page +- Table View (full TanStack Table implementation) +- Board View (Kanban with drag-and-drop) +- Timeline View (Gantt chart) +- Pipeline progress visualizer component +- TanStack Query hooks + optimistic updates + +### Phase 3: Advanced Features +- Revision tracking (rounds, feedback, history timeline) +- Threaded comment system on stages +- Notification system (in-app bell + full page, auto-generated on key events) +- Dashboard view (KPIs, charts, overdue alerts) +- Excel import (upload, preview, column mapping, validation, transactional commit) +- Excel export (multi-sheet styled workbook) +- Deadline tracking (approaching/overdue detection + notifications) + +### Phase 4: Polish +- Command palette (Cmd+K search) +- Bulk operations (multi-select in table → bulk status/assignment/priority) +- Loading skeletons, error boundaries, empty states +- Responsive design (mobile sidebar, stacked Kanban) +- Performance (query optimization, virtual scrolling, dynamic imports) +- Accessibility audit +- Edge cases (concurrent edits, rate limiting, session expiry) +- Documentation + deployment config + +--- + +## Verification Plan + +1. **Auth flow**: Log in via Google/Microsoft SSO → verify session contains role + org → verify unauthorized domains are rejected +2. **Pipeline dependencies**: Create a deliverable → verify stages 6-10 are BLOCKED → approve Model Prep → verify still blocked → approve Catalog → verify stages 6-10 become NOT_STARTED +3. **CRUD**: Create project → add deliverables → assign artists → update statuses → delete → verify cascade +4. **Views**: Switch between Table/Board/Timeline/Dashboard → verify data consistency → test filters/sorts persist in URL +5. **Revisions**: Submit revision on a stage → request changes → submit round 2 → approve → verify round count +6. **Excel**: Import a sample spreadsheet → map columns → preview → commit → verify data created. 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--turbopack", + "build": "next build", + "start": "next start", + "lint": "next lint", + "format": "prettier --write .", + "format:check": "prettier --check .", + "db:generate": "prisma generate", + "db:migrate": "prisma migrate dev", + "db:push": "prisma db push", + "db:seed": "prisma db seed", + "db:studio": "prisma studio" + }, + "dependencies": { + "@auth/prisma-adapter": "^2.11.1", + "@hello-pangea/dnd": "^18.0.1", + "@hookform/resolvers": "^5.2.2", + "@prisma/client": "^7.4.2", + "@tailwindcss/postcss": "^4.2.1", + "@tanstack/react-query": "^5.90.21", + "@tanstack/react-table": "^8.21.3", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "cmdk": "^1.1.1", + "date-fns": "^4.1.0", + "lucide-react": "^0.575.0", + "next": "^16.1.6", + "next-auth": "^5.0.0-beta.30", + "next-themes": "^0.4.6", + "nuqs": "^2.8.9", + "postcss": "^8.5.6", + "react": "^19.2.4", + "react-dom": "^19.2.4", + "react-hook-form": "^7.71.2", + "recharts": "^3.7.0", + "sonner": "^2.0.7", + "tailwind-merge": "^3.5.0", + "tailwindcss": "^4.2.1", + "zod": "^4.3.6", + "zustand": "^5.0.11" + }, + "devDependencies": { + "@types/node": "^25.3.3", + "@types/react": "^19.2.14", + "@types/react-dom": "^19.2.3", + "eslint": "^9.39.3", + "eslint-config-next": "^16.1.6", + "prettier": "^3.8.1", + "prettier-plugin-tailwindcss": "^0.7.2", + "prisma": "^7.4.2", + "typescript": "^5.9.3" + } +} diff --git a/postcss.config.mjs b/postcss.config.mjs new file mode 100644 index 0000000..79bcf13 --- /dev/null +++ b/postcss.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('postcss-load-config').Config} */ +const config = { + plugins: { + "@tailwindcss/postcss": {}, + }, +}; + +export default config; diff --git a/skills-lock.json b/skills-lock.json new file mode 100644 index 0000000..61508bd --- /dev/null +++ b/skills-lock.json @@ -0,0 +1,25 @@ +{ + "version": 1, + "skills": { + "anthropics-frontend-design": { + "source": "smithery.ai", + "sourceType": "well-known", + "computedHash": "20272c29770acae46e2fe1531911fb06cc5521802bac0605a97146109e56cd4a" + }, + "anthropics-theme-factory": { + "source": "smithery.ai", + "sourceType": "well-known", + "computedHash": "13a3851da15276a201034dd75bb20381aa032fd10e56a7139c9f37af22181dd3" + }, + "anthropics-webapp-testing": { + "source": "smithery.ai", + "sourceType": "well-known", + "computedHash": "b8ec8f08729b82c65f281cb00d668da03d47d8438261ab2bcf3f20d49468442c" + }, + "anthropics-xlsx": { + "source": "smithery.ai", + "sourceType": "well-known", + "computedHash": "925c84adc6f0f03cd671c14af995182dc72246349a8cd870ab49e5413ee991ba" + } + } +} diff --git a/src/app/globals.css b/src/app/globals.css new file mode 100644 index 0000000..0604426 --- /dev/null +++ b/src/app/globals.css @@ -0,0 +1,117 @@ +@import "tailwindcss"; + +@theme { + /* Typography */ + --font-heading: "Montserrat", ui-sans-serif, system-ui, sans-serif; + --font-sans: "Inter", ui-sans-serif, system-ui, sans-serif; + --font-mono: "JetBrains Mono", ui-monospace, monospace; + + /* Border radius */ + --radius-sm: 0.25rem; + --radius-md: 0.375rem; + --radius-lg: 0.5rem; + --radius-xl: 0.75rem; + + /* Sidebar */ + --sidebar-width: 256px; + --sidebar-width-collapsed: 64px; +} + +/* + * Light mode (default) + * Oliver Agency / Brandtech Group inspired palette + */ +:root { + --background: #ffffff; + --foreground: #0a0a0a; + --muted: #f5f5f5; + --muted-foreground: #6b7280; + --border: #e5e7eb; + --input: #e5e7eb; + --ring: #08402c; + + --primary: #08402c; + --primary-foreground: #ffffff; + --secondary: #f5f5f5; + --secondary-foreground: #0a0a0a; + --accent: #ee5540; + --accent-foreground: #ffffff; + --destructive: #dc2626; + --destructive-foreground: #ffffff; + + --card: #ffffff; + --card-foreground: #0a0a0a; + --popover: #ffffff; + --popover-foreground: #0a0a0a; + + /* Status colors */ + --status-blocked: #dc2626; + --status-not-started: #6b7280; + --status-in-progress: #2563eb; + --status-in-review: #d97706; + --status-approved: #16a34a; + --status-skipped: #9ca3af; + + /* Chart colors */ + --chart-1: #08402c; + --chart-2: #2563eb; + --chart-3: #d97706; + --chart-4: #ee5540; + --chart-5: #6b7280; +} + +/* + * Dark mode + */ +.dark { + --background: #0a0a0a; + --foreground: #f5f5f5; + --muted: #171717; + --muted-foreground: #9ca3af; + --border: #262626; + --input: #262626; + --ring: #0fa968; + + --primary: #0fa968; + --primary-foreground: #ffffff; + --secondary: #171717; + --secondary-foreground: #f5f5f5; + --accent: #f2725e; + --accent-foreground: #ffffff; + --destructive: #ef4444; + --destructive-foreground: #ffffff; + + --card: #141414; + --card-foreground: #f5f5f5; + --popover: #141414; + --popover-foreground: #f5f5f5; + + /* Status colors */ + --status-blocked: #ef4444; + --status-not-started: #9ca3af; + --status-in-progress: #60a5fa; + --status-in-review: #fbbf24; + --status-approved: #4ade80; + --status-skipped: #6b7280; + + /* Chart colors */ + --chart-1: #0fa968; + --chart-2: #60a5fa; + --chart-3: #fbbf24; + --chart-4: #f2725e; + --chart-5: #9ca3af; +} + +@layer base { + * { + @apply border-[var(--border)]; + } + + body { + @apply bg-[var(--background)] text-[var(--foreground)] font-sans antialiased; + } + + h1, h2, h3, h4, h5, h6 { + font-family: var(--font-heading); + } +} diff --git a/src/app/layout.tsx b/src/app/layout.tsx new file mode 100644 index 0000000..5085d7e --- /dev/null +++ b/src/app/layout.tsx @@ -0,0 +1,54 @@ +import type { Metadata } from "next"; +import { Montserrat, Inter, JetBrains_Mono } from "next/font/google"; +import { ThemeProvider } from "@/components/theme-provider"; +import "./globals.css"; + +const montserrat = Montserrat({ + subsets: ["latin"], + variable: "--font-heading", + display: "swap", + weight: ["600", "700"], +}); + +const inter = Inter({ + subsets: ["latin"], + variable: "--font-sans", + display: "swap", +}); + +const jetbrainsMono = JetBrains_Mono({ + subsets: ["latin"], + variable: "--font-mono", + display: "swap", + weight: ["400"], +}); + +export const metadata: Metadata = { + title: "HP CG Production Tracker", + description: "Production pipeline tracker for HP CG department", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + {children} + + + + ); +} diff --git a/src/app/page.tsx b/src/app/page.tsx new file mode 100644 index 0000000..a74cb27 --- /dev/null +++ b/src/app/page.tsx @@ -0,0 +1,5 @@ +import { redirect } from "next/navigation"; + +export default function Home() { + redirect("/dashboard"); +} diff --git a/src/components/theme-provider.tsx b/src/components/theme-provider.tsx new file mode 100644 index 0000000..189a2b1 --- /dev/null +++ b/src/components/theme-provider.tsx @@ -0,0 +1,11 @@ +"use client"; + +import * as React from "react"; +import { ThemeProvider as NextThemesProvider } from "next-themes"; + +export function ThemeProvider({ + children, + ...props +}: React.ComponentProps) { + return {children}; +} diff --git a/src/lib/utils.ts b/src/lib/utils.ts new file mode 100644 index 0000000..365058c --- /dev/null +++ b/src/lib/utils.ts @@ -0,0 +1,6 @@ +import { type ClassValue, clsx } from "clsx"; +import { twMerge } from "tailwind-merge"; + +export function cn(...inputs: ClassValue[]) { + return twMerge(clsx(inputs)); +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..b575f7d --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,41 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": [ + "dom", + "dom.iterable", + "esnext" + ], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": [ + "./src/*" + ] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts" + ], + "exclude": [ + "node_modules" + ] +}