Skill Documentation Generator

Auto-generate high-quality README documentation for skills with built-in consistency validation and example generation.

Overview

This skill automates the creation of standardized README files for skills by analyzing SKILL.md files, extracting structure and examples, validating quality standards, and generating comprehensive documentation. It ensures consistency across skill documentation while providing actionable validation feedback.

Workflow

Single Skill Documentation

Generate documentation for one skill:

1. Analyze the skill:

   bashCopy

   python scripts/analyze_skill.py <skill_directory>
   

   Extracts metadata, sections, code blocks, and resources.

2. Validate consistency:

   bashCopy

   python scripts/validate_consistency.py <skill_directory> --verbose
   

   Checks frontmatter, description quality, and terminology.

3. Generate README:

   bashCopy

   python scripts/generate_readme.py <skill_directory> [output_path]
   

   Creates README.md with validation results.

Batch Documentation

Document multiple skills at once:

python scripts/document_directory.py <directory> [options]

Options:

• --output <dir>: Specify output directory
• --no-recursive: Don't search subdirectories
• --no-index: Skip index file generation
• --no-validate: Skip validation checks

Example:

# Document all user skills with validation
python scripts/document_directory.py /mnt/skills/user --output ./docs

# Quick pass without validation
python scripts/document_directory.py ./my-skills --no-validate

Script Reference

analyze_skill.py

Parses SKILL.md and extracts structured information.

Usage: python scripts/analyze_skill.py <skill_directory>

Returns:

• Metadata (name, description)
• Sections and structure
• Code blocks with language tags
• Referenced resources (scripts, references, assets)
• Statistics (line count, section count)

validate_consistency.py

Validates skill quality against standards defined in references/consistency-rules.md.

Usage: python scripts/validate_consistency.py <skill_directory> [--verbose]

Checks:

• Frontmatter completeness and format
• Description quality (length, clarity, triggers)
• Structure appropriateness
• Terminology consistency
• Resource references
• Code example quality

Severity Levels:

• ERROR: Breaks functionality (missing required fields)
• WARNING: Quality issues (naming, unreferenced resources)
• INFO: Suggestions (style, optional improvements)

generate_readme.py

Creates README.md from skill analysis.

Usage: python scripts/generate_readme.py <skill_directory> [output_path]

Generates:

• Title and description
• Overview from SKILL.md
• Trigger scenarios
• Structure statistics
• Bundled resource lists with links
• Key sections overview
• Usage examples (up to 3)
• Validation results (optional)

Template: See references/readme-template.md for structure.

document_directory.py

Batch processes multiple skills in a directory.

Usage: python scripts/document_directory.py <directory> [options]

Features:

• Recursive skill discovery
• Parallel validation and documentation
• Index generation with categorization
• Summary statistics
• Error handling per skill

Quality Standards

Validation enforces these standards:

Frontmatter

• name: Lowercase with hyphens (e.g., skill-name)
• description: 50-500 chars, clear triggers
• Must start with capital letter
• Include "when" or "use" phrases

Structure

• Body: 100+ chars minimum, <500 lines recommended
• Sections: Overview/workflow recommended
• Resources: All files referenced in SKILL.md

Terminology

• Use imperative form: "Use" not "You should use"
• Capitalize "Claude" consistently
• Avoid vague terms: "various", "multiple"
• Active voice preferred

See references/consistency-rules.md and references/terminology-standards.md for complete standards.

Reference Files

readme-template.md

Standard README structure and best practices. Defines:

• Required sections
• Optional sections
• Formatting guidelines
• Link conventions

consistency-rules.md

Detailed validation criteria. Covers:

• Frontmatter requirements
• Description quality metrics
• Structure guidelines
• Resource validation
• Error severity definitions

terminology-standards.md

Standard vocabulary and style guide. Includes:

• Writing style (imperative form)
• Common terms and their usage
• Phrases to avoid
• Formatting conventions
• Consistency checklist

Examples

Example 1: Document a Single Skill

# Analyze
python scripts/analyze_skill.py ./my-skill

# Validate
python scripts/validate_consistency.py ./my-skill --verbose

# Generate README
python scripts/generate_readme.py ./my-skill

Example 2: Batch Process with Index

# Document all skills in a directory
python scripts/document_directory.py /mnt/skills/user \
  --output ./documentation \
  --recursive

Example 3: Quick Validation Pass

# Just validate without generating docs
python scripts/validate_consistency.py ./my-skill

Common Use Cases

New skill creation: Generate documentation as part of skill development Quality audits: Validate existing skills against standards Documentation updates: Regenerate READMEs after SKILL.md changes Batch operations: Document entire skill libraries CI/CD integration: Automated validation in deployment pipelines

Tips

• Run validation before generating documentation to catch issues early
• Use --verbose flag to see INFO-level suggestions
• Reference files provide the "why" behind validation rules
• Generated READMEs include validation results for transparency
• Index files help navigate large skill collections