One-click install
npx skills add https://github.com/Leap0920/Clean-Portfolio --skill deepinit-leap0920
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepinit
Source: https://github.com/Leap0920/Clean-Portfolio/tree/main/%25USERPROFILE%25/.openclaude/plugins/cache/omc/oh-my-claudecode/4.14.0/skills/deepinit
Command: npx skills add https://github.com/Leap0920/Clean-Portfolio --skill deepinit-leap0920

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of agents getting lost in an unfamiliar repository by creating consistent, AI-readable AGENTS.md files that explain structure, relationships, and how to work safely in each directory.

Core Features & Use Cases

  • Hierarchical repository documentation: Produces a directory-mapped AGENTS.md tree so each folder has a clear purpose and parent context.
  • Agent-ready operational guidance: Includes working instructions, testing expectations, common patterns, and dependency relationships for each directory.
  • Regeneration with manual preservation: Updates existing AGENTS.md content while preserving sections marked as manual using the MANUAL block.

Quick Start

Ask the AI to run the Deep Init Skill to scan your repository and generate or update AGENTS.md files across all relevant directories with correct parent references.

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 for my codebase structure?

Hierarchical AGENTS.md files map each repository directory and clarify how an agent should operate within it. This provides clear structural relationships and working instructions for agent navigation.

How do I update repository documentation after code changes without losing manual notes?

Updating repository documentation after changes is handled through regeneration with manual preservation. The process updates existing AGENTS.md content while protecting sections marked as MANUAL blocks, ensuring custom notes survive automated regeneration.

What is the best way to onboard an AI agent into a complex repository structure?

Onboarding an AI agent into a complex repository requires a directory-mapped AGENTS.md tree where each folder has a defined purpose and parent context. This hierarchical indexing includes testing expectations, common patterns, and dependency relationships for safe agent operation.

Can I automate directory mapping and parent reference validation for AGENTS.md files?

Automating directory mapping and parent reference validation is supported during AGENTS.md generation. The process writes files using hierarchical parent tags and validates parent reference resolution to ensure structural consistency across the documentation tree.

Does generating AGENTS.md files require any specific dependencies or environment setup?

Generating AGENTS.md files requires no specific dependencies or environment setup. The process scans your repository directly to produce or update documentation across all relevant directories with correct hierarchical parent references.