deepinit

Generate hierarchical AGENTS.md documentation for codebase directories.

28|5|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/MeroZemory/oh-my-droid --skill deepinit-merozemory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/MeroZemory/oh-my-droid/tree/main/skills/deepinit
Command: npx skills add https://github.com/MeroZemory/oh-my-droid --skill deepinit-merozemory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deepinit eliminates the work of manually describing every folder in a repository so AI agents can immediately understand what lives where, how components relate, and which areas need special care.

Core Features & Use Cases

  • Hierarchical AGENTS.md generation: Scans each directory, infers purpose, and writes structured documentation with parent tags and timestamped metadata.
  • Safe updates: Compares against existing AGENTS.md files, merges auto-generated sections while preserving manual notes, and validates parent references to prevent orphaned documentation.
  • Quality governance: Outlines testing requirements, dependencies, and working patterns per directory so specialized agents can pick up consistent instructions during complex workflows.

Quick Start

Start by mapping directories and generating AGENTS.md files level by level with deepinit's structured workflow.

Frequently Asked Questions about deepinit

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

FAQPage Schema
How do I automatically generate hierarchical AGENTS.md documentation across my codebase?

Automating hierarchical AGENTS.md documentation involves scanning each directory, inferring its purpose, and writing structured files with parent reference tags so agents understand component relationships during onboarding and refactors.

Can I update AGENTS.md files automatically without losing my manual notes?

Updating AGENTS.md files automatically preserves manual notes by comparing existing content, merging auto-generated sections, and validating parent references to prevent orphaned documentation while keeping custom instructions intact.

What is hierarchical AGENTS documentation and when do I need it for my repository?

Hierarchical AGENTS documentation describes every directory and subdirectory using parent reference tags so AI agents understand relationships, key files, and special instructions during complex workflows like onboarding and refactors.

Does automated codebase documentation work for onboarding specialized agents in complex workflows?

Automated codebase documentation outlines testing requirements, dependencies, and working patterns per directory so specialized agents pick up consistent instructions during complex refactoring and onboarding workflows.

What is the best way to structure directory documentation for AI agents during refactoring?

Structuring directory documentation for AI agents requires level-by-level mapping, structured template generation, timestamp updates, and parent validation to ensure agents understand hierarchy and key files during refactors.

How do I prevent orphaned documentation when auto-generating folder hierarchy docs?

Preventing orphaned documentation during auto-generation requires validating parent references against existing AGENTS.md files, comparing structures, and merging auto-generated sections while preserving manual notes.