agents-md-generator

Generate hierarchical AGENTS.md files from repository analysis.

10|2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/januarfonti/opencode-template-configured --skill agents-md-generator-januarfonti
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agents-md-generator
Source: https://github.com/januarfonti/opencode-template-configured/tree/main/skills/agents-md-generator
Command: npx skills add https://github.com/januarfonti/opencode-template-configured --skill agents-md-generator-januarfonti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation of AGENTS.md documentation for codebases, streamlining the process of setting up AI-friendly project documentation and maintaining it efficiently.

Core Features & Use Cases

  • Automated Documentation Generation: Generates AGENTS.md files based on repository analysis.
  • Repository Analysis: Analyzes repositories for tech stack, directory structure, and key patterns.
  • Customizable Templates: Offers templates for various types of packages (e.g., UI, API, database) and services.
  • Use Case: Ideal for software development teams looking to quickly set up and maintain AGENTS.md files for their projects, improving documentation and collaboration with AI coding assistants.

Quick Start

Run the agents-md-generator skill on your repository to automatically create AGENTS.md structures.

Frequently Asked Questions about agents-md-generator

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

FAQPage Schema
How do I generate AGENTS.md files for my codebase automatically?

You can generate AGENTS.md files automatically by running a Skill that analyzes your repository's structure, tech stack, and key patterns to output hierarchical documentation for AI coding assistants.

What is AGENTS.md documentation and when do I need it for AI coding assistants?

AGENTS.md documentation provides structured project context for AI coding assistants. You need it when setting up AI-friendly project documentation to help automated agents understand your repository's architecture and codebase patterns.

Does AGENTS.md generation work with different types of packages and services?

Yes, AGENTS.md generation supports various package types including UI, API, and database services. It uses customizable templates to analyze and document different components within your repository structure.

What's the best way to structure AGENTS.md files for a large repository?

The best way to structure AGENTS.md files for large repositories is using a hierarchical format with a lightweight root file and detailed sub-files, which automates project documentation setup for AI coding assistants.

Can I customize the AGENTS.md templates for my specific tech stack?

Yes, you can customize AGENTS.md templates based on your repository analysis. The generation process analyzes your tech stack, directory structure, and key patterns to create tailored documentation for your specific project.

Why do I need to analyze repository structure before generating AI coding documentation?

Analyzing repository structure before generating AI coding documentation is required to identify your tech stack, directory organization, and key patterns, ensuring the output AGENTS.md files accurately reflect your codebase architecture.