10x-agents-md

Generate onboarding documentation for AI coding agents by running the command in your repository; it inspects repo structure and conventions to output a concise contributor guide with critical rules at the top.

An AGENTS.md file is an onboarding document that guides AI coding agents through repository guidelines. You need one when integrating AI agents into your codebase to ensure they follow project conventions.

Yes, you can generate directory-level onboarding guidelines. The process includes scope detection to determine if the target is repo-level or directory-level, tailoring the generated guidance to the appropriate scope.

Generating repository guidelines for AI coding agents uses interactive prompts via host-agnostic tools. It also utilizes parallel research with subagents for concurrent file reads and analysis during generation.

The best way to analyze repository structure for AI agent contribution guides is using a parallel research approach with subagents, which concurrently reads files and history to build a concise, reference-heavy document.

Limitations include relying on accessible repository files and history for analysis. The output is a concise, reference-heavy document, so inaccessible codebases may result in incomplete onboarding guidance for the AI coding agents.