deepinit

Generate hierarchical AGENTS.md documentation files across a codebase.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/mrsono0/lectures --skill deepinit-mrsono0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/mrsono0/lectures/tree/main/.claude/skills/deepinit
Command: npx skills add https://github.com/mrsono0/lectures --skill deepinit-mrsono0

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 AI-readable documentation (AGENTS.md) across an entire codebase, ensuring agents understand project structure and context.

Core Features & Use Cases

  • Hierarchical Documentation: Generates AGENTS.md files for each directory, linking them hierarchically.
  • AI-Readable Context: Provides agents with detailed information about directory contents, relationships, and working instructions.
  • Use Case: When onboarding a new AI agent to a large project, this Skill ensures it can immediately understand the codebase's organization and purpose without manual explanation.

Quick Start

Use the deepinit skill to generate AGENTS.md files for the entire project.

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 across my codebase?

This Skill creates hierarchical AGENTS.md files across your codebase directories, providing AI agents with detailed context about directory contents, component relationships, and working instructions.

What is the best way to onboard an AI agent to a large project structure?

The best way to onboard an AI agent is to generate hierarchical AGENTS.md files, which provide immediate understanding of the codebase organization, directory structure, and operational guidelines without manual explanation.

Does generating AGENTS.md files preserve my manual annotations during updates?

Yes, generating AGENTS.md files preserves manual annotations during updates while ensuring accurate parent references are maintained across the hierarchical directory structure.

Can I use automated codebase documentation for agile developer workflows?

Yes, you can use automated codebase documentation in agile developer workflows to maintain AI-readable context that updates alongside code changes, keeping distributed teams and AI agents synchronized.

How do hierarchical AGENTS.md files map directory relationships for AI agents?

Hierarchical AGENTS.md files map directory relationships by generating linked documents for each directory, ensuring AI agents can traverse parent and child structures to understand the entire codebase architecture.