What documentation files does it create?

It typically generates a docs/ directory containing README.md, ARCHITECTURE.md, DEVELOPMENT.md, API.md, DEPLOYMENT.md, and CONTRIBUTING.md.

Can it create visual charts?

Yes, it generates Mermaid diagrams to visualize architecture, sequence flows, and component interactions directly within the Markdown files.

Does it work with any programming language?

Yes, it is language-agnostic as it analyzes file structures, import patterns, and comments to synthesize a conceptual understanding of the codebase.

How long does the documentation process take?

Users can choose between Quick (15-30 min), Standard (30-60 min), or Deep (60+ min) analysis levels depending on the desired level of detail.

How does Codebase Documenter analyze my project?

The skill uses a combination of directory mapping, entry point analysis, and pattern matching (Grep) to trace execution paths and identify core system responsibilities.

Codebase Documenter

Name: Codebase Documenter
Author: mhattingpete

bymhattingpete

•

126

Learning & Documentation

Generates comprehensive, multi-file documentation for software projects including architecture diagrams, data flows, and development guidelines.

About

The Codebase Documenter skill automates the complex task of creating technical documentation by deeply exploring source code to identify patterns, trace execution paths, and map directory structures. It synthesizes these technical insights into organized Markdown files, providing everything from high-level architectural overviews with Mermaid diagrams to granular deployment and contribution guides. Ideal for onboarding new developers or documenting legacy systems, this skill ensures that project knowledge is captured accurately and structured logically for long-term maintainability.

Key Features

In-depth analysis of directory structures, entry points, and core modules
Automatic generation of structured Markdown documentation (README, API, Architecture, etc.)
Visual system mapping using Mermaid diagrams for data and control flow
Extraction of development setup, coding conventions, and deployment procedures
126 GitHub stars
Adjustable depth levels ranging from high-level overviews to exhaustive technical manuals

Use Cases

Generating comprehensive onboarding documentation for new team members in complex projects
Reverse-engineering and documenting legacy codebases to improve maintainability
Standardizing project documentation across multiple repositories for consistency

About

Key Features

In-depth analysis of directory structures, entry points, and core modules
Automatic generation of structured Markdown documentation (README, API, Architecture, etc.)
Visual system mapping using Mermaid diagrams for data and control flow
Extraction of development setup, coding conventions, and deployment procedures
126 GitHub stars
Adjustable depth levels ranging from high-level overviews to exhaustive technical manuals

Use Cases

Generating comprehensive onboarding documentation for new team members in complex projects
Reverse-engineering and documenting legacy codebases to improve maintainability
Standardizing project documentation across multiple repositories for consistency