Can I control how deep the documentation goes?

Yes, the skill offers three depth levels: Quick (15-30 min overview), Standard (30-60 min comprehensive coverage), and Deep (60+ min exhaustive analysis with code examples).

How does the skill analyze the code?

It uses a combination of file system exploration, glob patterns for structure mapping, and grep for identifying critical imports, exports, and logic patterns across the repository.

Does it support visual diagrams?

Yes, it uses Mermaid.js syntax to create visual flowcharts, sequence diagrams, and architecture maps directly within the markdown documentation.

What types of documentation does this skill generate?

It generates a full suite of markdown files including README.md for overviews, ARCHITECTURE.md for system design, DEVELOPMENT.md for setup, API.md for interfaces, and CONTRIBUTING.md for workflows.

Is it language-agnostic?

Yes, it analyzes code patterns and structure, making it effective for a wide range of programming languages and framework structures.

Codebase Documenter

Name: Codebase Documenter
Author: pur3v4d3r

bypur3v4d3r

•

Learning & Documentation

Generates comprehensive technical documentation including architecture, data flows, and development guidelines for any repository.

The Codebase Documenter skill automates the creation of high-quality technical documentation by performing a deep analysis of a project's source code, structure, and configurations. It translates complex logic into readable markdown files, generating architectural overviews with Mermaid diagrams, detailed component maps, and actionable onboarding guides. This skill is ideal for developers inherited legacy code, teams looking to standardize their documentation, or architects needing to visualize system interactions and data flow patterns without manual effort.

Key Features

011 GitHub stars

02Automated architecture mapping and Mermaid diagram generation

03Configurable analysis depth from high-level overviews to exhaustive guides

04Deep codebase scanning to identify core components and execution paths

05Automated extraction of development setup and contribution guidelines

06Standardized documentation output (README, ARCHITECTURE, API, etc.)

Use Cases

01Generating professional system architecture documentation for stakeholders

02Onboarding new engineers to a large, unfamiliar codebase quickly

03Standardizing documentation across multiple microservices or repositories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pur3v4d3r/pur3-pkb-codebase codebase-documenter

For use in Claude.ai and ChatGPT

Download Skill