Agent skill
analyzing-docs
Expert at analyzing documentation quality, coverage, and completeness. Auto-invokes when evaluating documentation health, checking documentation coverage, auditing existing docs, assessing documentation quality metrics, or analyzing how well code is documented. Provides frameworks for measuring documentation effectiveness.
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/c0ntr0lledcha0s/analyzing-docs
SKILL.md
Analyzing Documentation Skill
You are an expert at analyzing documentation quality and coverage in codebases.
When This Skill Activates
This skill auto-invokes when:
- User asks about documentation coverage or quality
- User wants to audit existing documentation
- User asks "how well documented is this code?"
- User wants to identify documentation gaps
- User needs documentation metrics or reports
Documentation Coverage Analysis
Coverage Metrics to Track
-
Function/Method Documentation
- Total functions vs documented functions
- Parameter documentation completeness
- Return value documentation
- Example code presence
-
Class/Module Documentation
- Module-level docstrings/comments
- Class descriptions
- Property documentation
- Constructor documentation
-
File-Level Documentation
- File headers with purpose descriptions
- License headers where required
- Import documentation for complex dependencies
-
Project-Level Documentation
- README.md completeness
- API documentation coverage
- Architecture documentation
- Getting started guides
Coverage Calculation
Coverage = (Documented Items / Total Items) * 100
Scoring:
- 90-100%: Excellent
- 70-89%: Good
- 50-69%: Needs Improvement
- <50%: Critical
Quality Assessment Framework
Documentation Quality Dimensions
-
Completeness (0-10)
- All public APIs documented
- Parameters and returns described
- Error conditions explained
- Edge cases covered
-
Accuracy (0-10)
- Documentation matches code behavior
- Examples are correct and runnable
- Types and signatures are accurate
- No outdated information
-
Clarity (0-10)
- Clear, concise language
- Appropriate technical level
- Good structure and organization
- Consistent terminology
-
Usefulness (0-10)
- Practical examples included
- Common use cases covered
- Troubleshooting information
- Links to related resources
Quality Score Calculation
Quality Score = (Completeness + Accuracy + Clarity + Usefulness) / 4
Ratings:
- 8-10: High Quality
- 6-7: Acceptable
- 4-5: Needs Work
- <4: Poor Quality
Language-Specific Patterns
JavaScript/TypeScript
# Find documented functions
grep -r "@param\|@returns\|@description" --include="*.js" --include="*.ts"
# Find undocumented exports
grep -r "^export " --include="*.ts" | grep -v "/\*\*"
Python
# Find documented functions
grep -rP '^\s*"""' --include="*.py"
# Find undocumented functions
grep -rP "^\s*def\s+\w+\([^)]*\):" --include="*.py"
Go
# Find documented functions (comments before func)
grep -B1 "^func " --include="*.go" | grep "//"
Analysis Report Template
# Documentation Analysis Report
## Executive Summary
- Overall Coverage: XX%
- Quality Score: X.X/10
- Critical Gaps: X items
## Coverage by Category
| Category | Documented | Total | Coverage |
|----------|------------|-------|----------|
| Functions | X | X | XX% |
| Classes | X | X | XX% |
| Modules | X | X | XX% |
## Quality Assessment
| Dimension | Score | Notes |
|-----------|-------|-------|
| Completeness | X/10 | ... |
| Accuracy | X/10 | ... |
| Clarity | X/10 | ... |
| Usefulness | X/10 | ... |
## Critical Gaps
1. [File/Function]: Missing documentation for...
2. [File/Function]: Outdated documentation...
## Recommendations
1. Priority 1: Document public API functions
2. Priority 2: Update outdated examples
3. Priority 3: Add architecture overview
Common Documentation Issues
Critical Issues (Must Fix)
- Public APIs without any documentation
- Incorrect parameter types or return values
- Security-sensitive code without warnings
- Breaking changes not documented
Major Issues (Should Fix)
- Missing parameter descriptions
- No usage examples
- Outdated code examples
- Missing error documentation
Minor Issues (Nice to Fix)
- Inconsistent formatting
- Missing optional parameter defaults
- Verbose descriptions
- Duplicate documentation
Analysis Workflow
-
Scan Repository Structure
- Identify documentation directories (docs/, README, etc.)
- Locate source code directories
- Identify language(s) used
-
Calculate Coverage
- Count documentable items per category
- Count actually documented items
- Calculate coverage percentages
-
Assess Quality
- Sample documentation for quality review
- Score each quality dimension
- Identify patterns in issues
-
Generate Report
- Summarize findings
- Prioritize recommendations
- Provide specific examples
Integration
This skill works with:
- writing-docs skill for generating missing documentation
- managing-docs skill for organizing documentation structure
- docs-analyzer agent for comprehensive analysis tasks
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
perigon-backend
Perigon ASP.NET Core + EF Core + Aspire conventions
perigon-agent
Pointers for Copilot/agents to apply Perigon conventions
perigon-angular
Angular 21+ standalone/Material/signal conventions for Perigon WebApp
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
context7-efficient
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
browser-use
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
Didn't find tool you were looking for?