How does it handle very large repositories?

For repositories with more than 500 components, the skill suggests a phased approach where you can focus documentation on core modules first to manage token usage effectively.

Which programming languages are supported?

The skill supports Python, JavaScript, TypeScript, Java, C, C++, C#, Kotlin, and PHP using language-specific parsers and AST analysis.

Where is the documentation stored?

By default, it generates a flat directory of markdown files in the 'docs/wiki/' folder relative to your repository root.

Does it support incremental updates?

Yes. The skill includes a staleness detection flow that uses Git diffs to identify changed components and only regenerates affected documentation modules.

Can I customize what files are included in the documentation?

Yes, you can use scoping options like --include, --exclude, and --focus to target specific directories or file patterns for analysis.

Codebase Documentation Generator

Name: Codebase Documentation Generator
Author: liminal-ai

byliminal-ai

0•

Aprendizaje y Documentación

Generates comprehensive, AST-aware wiki documentation for codebases including architecture diagrams and cross-references.

This skill automates the creation and maintenance of technical documentation by performing deep structural analysis of your source code. It intelligently clusters components into logical modules, generates interactive Mermaid architecture diagrams, and maintains a cross-referenced markdown wiki in your repository. By leveraging AST-aware analysis across multiple languages, it ensures documentation remains accurate and helps teams visualize complex dependencies, making it an essential tool for onboarding and long-term project maintenance.

Características Principales

01Automatic generation of Mermaid architecture and dependency diagrams

02Self-contained markdown wiki output with full cross-referencing

03Intelligent module clustering based on file paths and call relationships

040 GitHub stars

05AST-aware structural analysis for Python, TypeScript, Java, C++, and more

06Incremental update logic that detects staleness using Git history

Casos de Uso

01Providing a guided orientation for new developers through automated repository overviews

02Generating a comprehensive technical wiki for an undocumented legacy codebase

03Maintaining up-to-date architecture diagrams that sync with code changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add liminal-ai/code-steward doc-generation

For use in Claude.ai and ChatGPT

Características Principales

01Automatic generation of Mermaid architecture and dependency diagrams

02Self-contained markdown wiki output with full cross-referencing

03Intelligent module clustering based on file paths and call relationships

040 GitHub stars

05AST-aware structural analysis for Python, TypeScript, Java, C++, and more

06Incremental update logic that detects staleness using Git history

Casos de Uso

01Providing a guided orientation for new developers through automated repository overviews

02Generating a comprehensive technical wiki for an undocumented legacy codebase

03Maintaining up-to-date architecture diagrams that sync with code changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add liminal-ai/code-steward doc-generation

For use in Claude.ai and ChatGPT