documentation-generation

Generate READMEs, API docs, ADRs, and CHANGELOGs from repository structure.

31|3|Updated Dec 12, 2025
One-click install
npx skills add https://github.com/JeremyDev87/codingbuddy --skill documentation-generation-jeremydev87
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: documentation-generation
Source: https://github.com/JeremyDev87/codingbuddy/tree/main/packages/rules/.ai-rules/skills/documentation-generation
Command: npx skills add https://github.com/JeremyDev87/codingbuddy --skill documentation-generation-jeremydev87

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate documentation from code structure and project context.

Core Features & Use Cases

  • Generate READMEs, API references, ADRs, and CHANGELOGs from existing codebases.
  • Produce architecture and onboarding documentation tailored to team needs.
  • Use case: auto-generate a comprehensive project README with usage, setup, and contribution guidelines from the repository.

Quick Start

Run the documentation-generation skill on a codebase to produce a complete set of docs.

Frequently Asked Questions about documentation-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I auto-generate documentation from an existing codebase?

Auto-generating documentation extracts code structure and project context to create READMEs, API references, and CHANGELOGs. It applies template-driven generation to pull repository metadata and produce consistent, publish-ready docs.

What is the best way to generate architecture and onboarding docs from code?

Generating architecture and onboarding docs from code involves extracting repository structure and project context to produce tailored documentation. This approach uses template-driven generation to ensure consistent, publish-ready outputs for team needs.

Can I generate ADRs and CHANGELOGs alongside API docs from repository metadata?

Yes, you can generate ADRs and CHANGELOGs alongside API docs from repository metadata. The template-driven process extracts code structure and project context to produce a complete, publish-ready documentation set across diverse software projects.

Does template-driven docs generation work for diverse software projects?

Template-driven docs generation works for diverse software projects by extracting repository structure and metadata to create consistent documentation. It generates READMEs, API references, ADRs, and CHANGELOGs tailored to varied codebases.

How do I create a comprehensive project README with usage and setup guidelines?

To create a comprehensive project README with usage and setup guidelines, run template-driven generation against your codebase. It extracts repository structure and context to output consistent, publish-ready documentation covering contribution guidelines.

What are the limitations of auto-generating documentation from code structure?

Auto-generating documentation from code structure relies on extracting repository metadata and context, so outputs depend on codebase clarity and template configuration. Complex or undocumented logic may require manual refinement after generation.