agents-md

Generate AI documentation for a monorepo by analyzing the repository structure to create hierarchical AGENTS.md files. This Skill uses deterministic discovery to map project technologies and outputs standardized instruction files optimized for low-token navigation.

AGENTS.md is a standardized instruction file providing clear, actionable project guidance for AI assistants and human contributors. You need it during developer onboarding or when integrating AI into complex monorepos to ensure consistent code standards and actionable documentation.

Yes, you can use a single documentation file for simple projects. This Skill supports hierarchical documentation, allowing you to generate single-file AGENTS.md for straightforward repositories or multi-file structures for complex monorepos.

Maintain code standards in AI-facing project documentation by enforcing anti-patterns that prevent technology stack assumptions and content duplication. This approach reduces AI processing overhead and ensures documentation quality remains high and actionable.

Deterministic discovery analyzes your repository structure and technologies to inform the documentation strategy automatically. It ensures the generated AGENTS.md files accurately reflect the project's tooling by mapping nearest-file relevance without manual configuration.

Limitations of automated AI documentation generation include the risk of duplicating content or incorrectly assuming technology stacks. This Skill mitigates these constraints through anti-pattern enforcement, but relies on accurate repository structures for nearest-file relevance.