deepinit

Generate hierarchical AGENTS.md documentation across a codebase.

20|6|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/sigridjineth/oh-my-codex --skill deepinit-sigridjineth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/sigridjineth/oh-my-codex/tree/main/skills/deepinit
Command: npx skills add https://github.com/sigridjineth/oh-my-codex --skill deepinit-sigridjineth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation and maintenance of AGENTS.md files, which serve as AI-readable documentation for your codebase, ensuring agents understand project structure and context.

Core Features & Use Cases

  • Hierarchical Documentation: Creates a navigable tree of AGENTS.md files, linking parent directories.
  • AI-Readable Format: Structures information about directory purpose, key files, subdirectories, and AI agent instructions.
  • Use Case: When onboarding a new AI agent to a large project, this Skill can quickly generate comprehensive documentation, allowing the agent to understand the codebase's organization and how to interact with different modules.

Quick Start

Use the deepinit skill to generate AGENTS.md documentation for the current project directory.

Frequently Asked Questions about deepinit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI-readable documentation for my codebase?

Generate AI-readable documentation by creating hierarchical AGENTS.md files that map directory structures and analyze file contents to provide AI agents with project context and navigation instructions.

What is the AGENTS.md format used for in project structure?

The AGENTS.md format structures information about directory purpose, key files, subdirectories, and AI agent instructions, serving as navigable documentation that helps AI agents understand codebase organization and interact with modules.

How do I automate updates for AI agent documentation across a large project?

Automate AI agent documentation updates using this Skill to validate documentation integrity and regenerate hierarchical AGENTS.md files, ensuring AI agents receive current project structure and context across the codebase.

Can I use automated documentation generation for onboarding AI agents to complex codebases?

Yes, this Skill quickly generates comprehensive AGENTS.md documentation for onboarding new AI agents to large projects, allowing agents to immediately understand codebase organization and how to interact with different modules.

Does deepinit create parent directory references in its generated markdown files?

Yes, deepinit creates detailed markdown files with parent references, linking directory structures hierarchically to ensure AI agents can navigate the codebase tree effectively.

What are the limitations of automated codebase documentation generation?

Automated codebase documentation generation relies on analyzing file contents and mapping directory structures, meaning its accuracy depends on the existing project organization and the readability of the codebase contents being processed.