deepinit

Generate hierarchical AGENTS.md documentation across multi-level codebases.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Hyeonjun0527/yeon --skill deepinit-hyeonjun0527
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/deepinit
Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill deepinit-hyeonjun0527

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auto-generates hierarchical AGENTS.md documentation across a codebase to consolidate scattered directory notes into navigable, AI-friendly guides that describe each directory's purpose, relationships, and usage.

Core Features & Use Cases

  • Hierarchical AGENTS.md generation: Creates parent-child AGENTS.md files that map directory structures and dependencies.
  • Template-driven consistency: Applies a standardized AGENTS.md template for all directories.
  • On-demand resources: Supports optional scripts/, references/, and assets/ directories loaded as needed.
  • Use Case: In a large repository, automatically build a navigable documentation tree to help agents reason about code organization.

Quick Start

Run the AGENTS generator across your repository to generate the initial hierarchical documentation.

Frequently Asked Questions about deepinit

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

FAQPage Schema
How do I generate hierarchical AGENTS.md documentation across a large monorepo?

You can generate hierarchical AGENTS.md documentation by running the generator across your repository, which automatically establishes parent-child relationships and maps directory dependencies to improve AI readability and directory discoverability.

What are AGENTS.md files and how do they improve AI codebase navigation?

AGENTS.md files are hierarchical, AI-friendly guides that describe each directory's purpose, relationships, and usage. They improve AI codebase navigation by consolidating scattered directory notes into a navigable documentation tree.

Can I use automated AGENTS.md generation for a multi-level repository?

Yes, automated AGENTS.md generation applies to multi-level repositories, creating parent-child AGENTS.md relationships and tailored guidance for working in each directory, including optional scripts, references, and assets loaded as needed.

Does AGENTS.md generation support optional scripts and references directories?

Yes, AGENTS.md generation supports on-demand resources by including optional scripts/, references/, and assets/ directories that are loaded as needed to provide additional context and tools for agents working within the codebase.

What is the best way to maintain consistent AI guidance documentation across a codebase?

The best way to maintain consistent AI guidance documentation is to use a template-driven generator that applies a standardized AGENTS.md template across all directories and satisfies validation checks during documentation regeneration.