deepinit

Generate hierarchical AGENTS.md documentation with parent references across repository directories.

2|Updated May 11, 2026

Search Tags:#documentation #agents #repository #templating #testing guidance #directory mapping #code onboarding

Ready to run

npx skills add https://github.com/xz1220/oh-my-kimi --skill deepinit-xz1220

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/xz1220/oh-my-kimi/tree/main/skills/deepinit
Command: npx skills add https://github.com/xz1220/oh-my-kimi --skill deepinit-xz1220

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of getting AI agents to quickly understand a large, multi-directory repository by creating a consistent, deeply structured AGENTS.md documentation layer across the whole codebase.

Core Features & Use Cases

Cross-repo directory mapping: Builds a navigable documentation structure that mirrors the repository’s real layout.
Layered parent references: Inserts  links so each AGENTS.md can be traced in a hierarchy for reliable AI context.
Agent-ready operational instructions: Documents what each directory contains, key files, dependencies, testing expectations, and common patterns to guide safe and effective modifications.

Quick Start

Ask the skill to perform a deep initialization and generate AGENTS.md files across the entire repository using the layered parent-reference template.

Frequently Asked Questions about deepinit

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

FAQPage Schema

How do I generate AGENTS.md files for AI codebase onboarding across a large repository?▼

Generate AGENTS.md files by scanning the repository's directory structure and producing hierarchical documentation with parent-resolved templates. This creates a navigable layer of operational instructions so AI agents can accurately understand nested folders and file purposes.

What is the best way to structure AGENTS.md files for AI agents navigating nested project directories?▼

The best way to structure AGENTS.md files is through a layered hierarchy with parent-resolved templates. Inserting `` links allows each document to be traced, providing reliable contextual references across nested folders for AI navigation.

Can I update existing AGENTS.md files while preserving manually written sections?▼

Yes, you can update existing AGENTS.md files while preserving manual sections. The generation process scans directories, validates parent reference integrity, and applies parent-resolved templates without overwriting your manually added documentation content.

Does hierarchical AGENTS.md documentation work for agent-directed refactoring and planning tasks?▼

Hierarchical AGENTS.md documentation works effectively for agent-directed refactoring and planning tasks. It maps cross-repo directories, documents dependencies, and outlines testing expectations, guiding safe modifications and providing reliable context for complex operations.

Why does my AI agent struggle to understand file purposes across deeply nested repository folders?▼

AI agents struggle with deeply nested folders due to a lack of consistent, structured context. Generating hierarchical AGENTS.md files with parent references resolves this by mirroring the repository layout and documenting key files and dependencies at each level.