agents-md-generator

To generate an AGENTS.md file for AI coding agents, this Skill analyzes your repository structure and tech stack to automatically create structured, hierarchical documentation files. It produces a lightweight root file and detailed sub-folder files with setup commands and conventions.

AGENTS.md is a structured context file that provides AI coding agents with repository-specific information, setup commands, and conventions. You need it to optimize AI assistance with minimal token usage and ensure coding agents understand your project structure and major directories.

Yes, you can create hierarchical AGENTS.md files across various repository types and tech stacks. The Skill analyzes your repository to identify major directories, generating a lightweight root file and detailed sub-folder files with JIT indexing and project-specific conventions.

The best way to automate project documentation for AI coding assistants is using AI-driven repository analysis to generate structured AGENTS.md files. This approach identifies necessary documentation structures based on your repository type, tech stack, and major directories to optimize AI context.

No dependencies are required to run the agents-md-generator. You only need to provide the path to your codebase, and the Skill will handle the repository analysis and file creation for both root and sub-folder AGENTS.md structures without external dependencies.

AI coding agents struggle without AGENTS.md because they lack structured context about your repository type, tech stack, and conventions. Without hierarchical AGENTS.md files providing JIT indexing and setup commands, AI agents consume more tokens while failing to understand major directories.