Codebase Documenter logo

Codebase Documenter

Community
mhattingpete
codebase-documenter

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.

Overview

Publishermhattingpete
Repositoryclaude-skills-marketplace
Skill namecodebase-documenter
Stars
675
Forks
96
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mhattingpete on GitHub. Read the source before you install it.

Installation

Install the Codebase Documenter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mhattingpete/claude-skills-marketplace.git /tmp/claude-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/claude-skills-marketplace/productivity-skills-plugin/skills/codebase-documenter .claude/skills/codebase-documenter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codebase Documenter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Codebase Documenter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Codebase Documenter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Frequently asked questions

What does the Codebase Documenter AI skill do?

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.

Why use Codebase Documenter on TypingMind?

Because you install it once and use it with any model. Codebase Documenter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Codebase Documenter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mhattingpete/claude-skills-marketplace/tree/main/productivity-skills-plugin/skills/codebase-documenter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codebase Documenter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Codebase Documenter?

As many as you like. As long as a model supports skills, you can use Codebase Documenter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Codebase Documenter AI skill free?

Yes. It is published on GitHub by mhattingpete under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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