home / skills / mhattingpete / claude-skills-marketplace / codebase-documenter

This skill generates comprehensive codebase documentation including architecture, components, data flow, and development guidelines to help onboarding and

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---
name: codebase-documenter
description: Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
---

# Codebase Documenter

Generates comprehensive documentation for codebases - architecture, components, data flow, development guidelines.

## When to Use

- "explain this codebase"
- "document the architecture"
- "how does this code work"
- "create developer documentation"
- "generate codebase overview"
- "create onboarding docs"

## What It Documents

### 1. Project Overview
- Purpose & vision
- Target users
- Key features
- Technology stack
- Project status

### 2. Architecture
- High-level structure
- Design patterns
- Data flow
- Control flow
- Diagrams (Mermaid)
- Architectural decisions

### 3. Directory Structure
- Organization purpose
- Naming conventions
- Entry points
- Core modules
- Configuration locations

### 4. Key Components
- Major modules
- Classes & functions
- Responsibilities
- Interactions
- Extension points
- Code examples

### 5. External Integrations
- APIs consumed
- Databases & schemas
- Authentication
- Caching
- Message queues
- File storage

### 6. Data Models
- Database schema
- Data structures
- Validation
- Migrations
- Data transformations

### 7. Development Setup
- Prerequisites
- Installation steps
- Configuration
- Running the app
- Testing
- Debugging
- Troubleshooting

### 8. Development Guidelines
- Coding conventions
- Testing approach
- Error handling
- Logging
- Security practices
- Performance patterns

### 9. Deployment
- Build process
- Deployment steps
- Environments
- Monitoring
- Rollback procedures

### 10. Contributing
- Development workflow
- Code review guidelines
- Testing requirements
- Documentation updates

## Approach

1. **Explore** using Explore agent (thorough)
2. **Map structure** with Glob
3. **Read critical files** (README, entry points, core modules)
4. **Identify patterns** with Grep (imports, exports)
5. **Trace execution** paths
6. **Extract knowledge** from docs, comments, tests
7. **Synthesize** into cohesive documentation

## Output

Creates markdown documentation:
```
docs/
├── README.md              # Overview and quick start
├── ARCHITECTURE.md        # System architecture
├── DEVELOPMENT.md         # Development guide
├── API.md                 # API documentation
├── DEPLOYMENT.md          # Deployment guide
└── CONTRIBUTING.md        # Contribution guidelines
```

Or single comprehensive doc if preferred.

## Depth Levels

- **Quick**: High-level overview (15-30 min)
- **Standard**: Comprehensive coverage (30-60 min)
- **Deep**: Exhaustive with examples (60+ min)

## Visual Elements

- Mermaid diagrams (architecture, flow charts, sequence)
- Code examples from codebase
- Specific file:line references
- Tables for structured info
- Lists for guidelines

## Tools Used

- **Task (Explore agent)**: Codebase exploration
- **Glob**: Map directory structure
- **Grep**: Find patterns, imports, exports
- **Read**: Analyze key files
- **Write**: Create documentation
- **Bash**: Extract metadata (git log, versions)

## Success Criteria

- Complete coverage of all areas
- Clear explanations with examples
- Visual diagrams for complex concepts
- Specific file:line references
- Actionable setup/development instructions
- New developer can onboard using only docs
- Organized, navigable structure
- Accurate and current information

## Integration

- **code-auditor**: Includes quality/security context
- **project-bootstrapper**: Documents bootstrap decisions
- **visual-html-creator**: Create visual diagrams

Overview

This skill generates comprehensive, navigable documentation that explains how a codebase works, covering architecture, key components, data flow, and developer guidelines. It produces clear markdown outputs (single doc or a docs/ folder) suitable for onboarding, architecture reviews, and handoffs. The goal is to let new developers understand and contribute quickly.

How this skill works

The skill inspects the repository structure, reads critical files (README, entry points, core modules, tests), and maps imports/exports to identify core components and execution paths. It synthesizes findings into focused sections—architecture, directory layout, components, data models, integrations, development setup, and deployment—adding Mermaid diagrams, file:line references, and code examples where helpful. You can choose depth (Quick, Standard, Deep) to control coverage and time spent.

When to use it

  • You need to understand an unfamiliar codebase quickly
  • Create onboarding docs for new developers
  • Document architecture for design reviews
  • Produce developer setup and troubleshooting guides
  • Prepare a public-facing codebase overview or API docs

Best practices

  • Run at an appropriate depth: Quick for high-level orientation, Deep for auditing or handover
  • Provide repository access so the agent can read code, tests, and configs
  • Point to primary entry points and any custom build/deploy scripts
  • Request specific outputs (single doc vs docs/ folder) and diagram types (Mermaid flow, sequence)
  • Review generated file:line references and update if code changes

Example use cases

  • Generate a README + ARCHITECTURE + DEVELOPMENT set for an internal service
  • Produce onboarding documentation for a cross-functional team joining a project
  • Document third-party integrations, database schema, and authentication flow
  • Create a single comprehensive doc explaining execution paths and critical modules
  • Prepare deployment and rollback procedures for operations handoff

FAQ

What formats are produced?

Markdown files by default; can produce a single consolidated markdown or a structured docs/ folder with separate files for architecture, development, API, deployment, and contributing.

How long does documentation take?

Depends on depth: Quick (15–30 min), Standard (30–60 min), Deep (60+ min). Large repositories may require more time for exhaustive coverage.