Generate hierarchical AGENTS.md files for multi-directory repositories.
npx skills add https://github.com/oneforce/oh-my-gemini-cli --skill deepinit-oneforce
Please help me install this Agent Skill. Skill: deepinit Source: https://github.com/oneforce/oh-my-gemini-cli/tree/main/skills/deepinit Command: npx skills add https://github.com/oneforce/oh-my-gemini-cli --skill deepinit-oneforce
Deep codebases often lack navigable, AI-friendly documentation. This skill generates hierarchical AGENTS.md files that describe each directory, its purpose, and its relationships, enabling AI agents to understand the project structure quickly.
Create hierarchical AGENTS.md documentation across the entire repository using the deepinit workflow.
High-intent search queries and answers about installing and using this skill.
To generate hierarchical AGENTS.md documentation, use an automated workflow that creates per-directory files referencing parent documents, summarizing directory purpose, contents, and dependencies to maintain a consistent documentation hierarchy across multi-directory repositories.
An AGENTS.md file is a structured document that describes a directory's purpose, contents, and relationships within a codebase. You need it when deep codebases lack navigable, AI-friendly documentation, enabling AI agents to understand project structure quickly.
AI agents navigate complex codebases by traversing hierarchical AGENTS.md files that encode parent-child relationships and directory metadata. This automated guidance helps agents read, write, and update code by understanding the project structure and cross-directory dependencies.
Yes, you can automate documentation updates using templates, update propagation, and merge strategies within the workflow. This maintains a consistent documentation hierarchy across multi-directory repositories as the codebase evolves.
Yes, deepinit works with multi-directory repositories by generating per-directory AGENTS.md files that reference parent documents and summarize directory purpose, contents, and dependencies for enhanced AI readability and cross-team collaboration.
The best way to structure codebase documentation for AI readability is generating hierarchical AGENTS.md files that encode parent-child relationships and directory metadata, enabling AI agents to understand project structure quickly and enhancing cross-team collaboration.
mikev10Generate hierarchical AGENTS.md files for each directory in a codebase.
shaun0927Generate and maintain hierarchical AGENTS.md documentation across directory trees.
oryanmosheCreate and update AGENTS.md documentation for AI coding agents.
Happyverse-TeamAnalyze a codebase and generate architecture and workflow documentation.
