Does it work with deeply nested directories?

Yes, it recursively maps the entire codebase and creates a hierarchical tree where each child directory links to its parent, providing a navigable context map.

What is an AGENTS.md file?

It is a specialized markdown file containing directory-specific metadata and context designed to help AI agents understand folder structures, dependencies, and coding patterns.

Why use Deep Init instead of standard documentation?

While standard docs are for humans, Deep Init creates structured, machine-readable context that significantly improves AI reasoning while reducing token consumption.

Will Deep Init overwrite my manual notes?

No, it features a smart merge system that identifies and preserves human-written content under specific manual tags during its regeneration process.

Deep Init Codebase Documentation

Name: Deep Init Codebase Documentation
Author: Yeachan-Heo

byYeachan-Heo

•

2,142

Learning & Documentation

Automates the creation of hierarchical, AI-optimized documentation across your entire repository to improve agent reasoning.

About

The Deep Init skill transforms how AI agents interact with your codebase by generating structured, hierarchical AGENTS.md files for every directory. By mapping file relationships, dependencies, and specific working instructions into a parent-child documentation tree, it provides Claude with the necessary context for high-accuracy modifications. This skill supports incremental updates, preserving manual annotations while keeping structural metadata current, making it essential for onboarding AI agents to complex or large-scale projects where context loss is a common barrier.

Key Features

Automatic mapping of directory purposes, key files, and internal dependencies
Smart delegation using specialized sub-agents (explore, architect, writer) for high-quality content
2,142 GitHub stars
Preserves manual developer notes during regeneration through specialized tag parsing
Hierarchical AGENTS.md documentation tree with parent-child cross-referencing
Validation engine to ensure documentation completeness and link integrity across the codebase

Use Cases

Maintaining up-to-date documentation for AI agents in fast-moving projects
Onboarding Claude to a large, complex legacy codebase for the first time
Standardizing development patterns and testing requirements across distributed teams

About

Key Features

Automatic mapping of directory purposes, key files, and internal dependencies
Smart delegation using specialized sub-agents (explore, architect, writer) for high-quality content
2,142 GitHub stars
Preserves manual developer notes during regeneration through specialized tag parsing
Hierarchical AGENTS.md documentation tree with parent-child cross-referencing
Validation engine to ensure documentation completeness and link integrity across the codebase

Use Cases

Maintaining up-to-date documentation for AI agents in fast-moving projects
Onboarding Claude to a large, complex legacy codebase for the first time
Standardizing development patterns and testing requirements across distributed teams