Generate hierarchical AGENTS.md documentation with Parent references and timestamps across codebases.
npx skills add https://github.com/chanhee-kang/oh-my-gemini --skill deepinit
Please help me install this Agent Skill. Skill: deepinit Source: https://github.com/chanhee-kang/oh-my-gemini/tree/main/skills/deepinit Command: npx skills add https://github.com/chanhee-kang/oh-my-gemini --skill deepinit
This Skill automates the creation of a clean, navigable AGENTS.md documentation hierarchy across a codebase, enabling AI agents to understand each directory's purpose, relationships, and instructions.
Run the deepinit Skill from the repository root to generate AGENTS.md across the entire project. AGENTS.md files will be created or updated in each directory following the template and including parent references.
High-intent search queries and answers about installing and using this skill.
To generate hierarchical AGENTS.md documentation, run the deepinit Skill from the repository root. It automatically creates or updates AGENTS.md files in each directory using a templated structure with parent references and timestamps.
AGENTS.md provides machine-readable directory documentation that helps AI agents understand each directory's purpose, relationships, and specific instructions. It enforces a consistent structure with sections like Working In This Directory and Testing Requirements.
Yes, automatic propagation of AGENTS.md from root to nested directories is a core feature. It reflects the codebase structure by applying a consistent template with parent references and generated timestamps to every directory.
Yes, this automated documentation approach is specifically designed for large monorepos and multi-directory projects. It enforces consistent, AI-readable directory documentation to onboard new contributors and guide AI agents.
You add directory-specific guidance by running this Skill, which generates AGENTS.md files containing on-demand sections like Common Patterns and Testing Requirements. This provides contextual instructions for AI agents working in each directory.
The best way to maintain consistent codebase documentation is automating hierarchical AGENTS.md generation. This enforces a standardized template with parent references and timestamps across all directories, ensuring machine-readability for new contributors.
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