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Deepinit

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Yeachan-Heo
deepinit

Deep codebase initialization with hierarchical AGENTS.md documentation

Overview

PublisherYeachan-Heo
Repositoryoh-my-claudecode
Skill namedeepinit
Stars
39.2K
Forks
3.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Yeachan-Heo on GitHub. Read the source before you install it.

Installation

Install the Deepinit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Yeachan-Heo/oh-my-claudecode.git /tmp/oh-my-claudecode
mkdir -p .claude/skills
cp -r /tmp/oh-my-claudecode/skills/deepinit .claude/skills/deepinit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deepinit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deepinit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deepinit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deep Init Skill

Creates comprehensive, hierarchical AGENTS.md documentation across the entire codebase.

Core Concept

AGENTS.md files serve as AI-readable documentation that helps agents understand:

  • What each directory contains
  • How components relate to each other
  • Special instructions for working in that area
  • Dependencies and relationships

Hierarchical Tagging System

Every AGENTS.md (except root) includes a parent reference tag:

markdown
<!-- Parent: ../AGENTS.md -->

This creates a navigable hierarchy:

/AGENTS.md                          ← Root (no parent tag)
├── src/AGENTS.md                   ← <!-- Parent: ../AGENTS.md -->
│   ├── src/components/AGENTS.md    ← <!-- Parent: ../AGENTS.md -->
│   └── src/utils/AGENTS.md         ← <!-- Parent: ../AGENTS.md -->
└── docs/AGENTS.md                  ← <!-- Parent: ../AGENTS.md -->

AGENTS.md Template

markdown
<!-- Parent: {relative_path_to_parent}/AGENTS.md -->
<!-- Generated: {timestamp} | Updated: {timestamp} -->

# {Directory Name}

## Purpose
{One-paragraph description of what this directory contains and its role}

## Key Files
{List each significant file with a one-line description}

| File | Description |
|------|-------------|
| `file.ts` | Brief description of purpose |

## Subdirectories
{List each subdirectory with brief purpose}

| Directory | Purpose |
|-----------|---------|
| `subdir/` | What it contains (see `subdir/AGENTS.md`) |

## For AI Agents

### Working In This Directory
{Special instructions for AI agents modifying files here}

### Testing Requirements
{How to test changes in this directory}

### Common Patterns
{Code patterns or conventions used here}

## Dependencies

### Internal
{References to other parts of the codebase this depends on}

### External
{Key external packages/libraries used}

<!-- MANUAL: Any manually added notes below this line are preserved on regeneration -->

Execution Workflow

Step 1: Map Directory Structure

Task(subagent_type="explore", model="haiku",
  prompt="List all directories recursively. Exclude: node_modules, .git, dist, build, __pycache__, .venv, coverage, .next, .nuxt")

Step 2: Create Work Plan

Generate todo items for each directory, organized by depth level:

Level 0: / (root)
Level 1: /src, /docs, /tests
Level 2: /src/components, /src/utils, /docs/api
...

Step 3: Generate Level by Level

IMPORTANT: Generate parent levels before child levels to ensure parent references are valid.

For each directory:

  1. Read all files in the directory
  2. Analyze purpose and relationships
  3. Generate AGENTS.md content
  4. Write file with proper parent reference

Step 4: Compare and Update (if exists)

When AGENTS.md already exists:

  1. Read existing content
  2. Identify sections:
    • Auto-generated sections (can be updated)
    • Manual sections (<!-- MANUAL --> preserved)
  3. Compare:
    • New files added?
    • Files removed?
    • Structure changed?
  4. Merge:
    • Update auto-generated content
    • Preserve manual annotations
    • Update timestamp

Step 5: Validate Hierarchy

After generation, run validation checks:

CheckHow to VerifyCorrective Action
Parent references resolveRead each AGENTS.md, check <!-- Parent: --> path existsFix path or remove orphan
No orphaned AGENTS.mdCompare AGENTS.md locations to directory structureDelete orphaned files
CompletenessList all directories, check for AGENTS.mdGenerate missing files
Timestamps currentCheck <!-- Generated: --> datesRegenerate outdated files

Validation script pattern:

bash
# Find all AGENTS.md files
find . -name "AGENTS.md" -type f

# Check parent references
grep -r "<!-- Parent:" --include="AGENTS.md" .

Smart Delegation

TaskAgent
Directory mappingexplore
File analysisarchitect
Content generationwriter
AGENTS.md writeswriter

Empty Directory Handling

When encountering empty or near-empty directories:

ConditionAction
No files, no subdirectoriesSkip - do not create AGENTS.md
No files, has subdirectoriesCreate minimal AGENTS.md with subdirectory listing only
Has only generated files (*.min.js, *.map)Skip or minimal AGENTS.md
Has only config filesCreate AGENTS.md describing configuration purpose

Example minimal AGENTS.md for directory-only containers:

markdown
<!-- Parent: ../AGENTS.md -->
# {Directory Name}

## Purpose
Container directory for organizing related modules.

## Subdirectories
| Directory | Purpose |
|-----------|---------|
| `subdir/` | Description (see `subdir/AGENTS.md`) |

Parallelization Rules

  1. Same-level directories: Process in parallel
  2. Different levels: Sequential (parent first)
  3. Large directories: Spawn dedicated agent per directory
  4. Small directories: Batch multiple into one agent

Quality Standards

Must Include

  • Accurate file descriptions
  • Correct parent references
  • Subdirectory links
  • AI agent instructions

Must Avoid

  • Generic boilerplate
  • Incorrect file names
  • Broken parent references
  • Missing important files

Example Output

Root AGENTS.md

markdown
<!-- Generated: 2024-01-15 | Updated: 2024-01-15 -->

# my-project

## Purpose
A web application for managing user tasks with real-time collaboration features.

## Key Files
| File | Description |
|------|-------------|
| `package.json` | Project dependencies and scripts |
| `tsconfig.json` | TypeScript configuration |
| `.env.example` | Environment variable template |

## Subdirectories
| Directory | Purpose |
|-----------|---------|
| `src/` | Application source code (see `src/AGENTS.md`) |
| `docs/` | Documentation (see `docs/AGENTS.md`) |
| `tests/` | Test suites (see `tests/AGENTS.md`) |

## For AI Agents

### Working In This Directory
- Always install dependencies after modifying the project manifest
- Use TypeScript strict mode
- Follow ESLint rules

### Testing Requirements
- Run tests before committing
- Ensure >80% coverage

### Common Patterns
- Use barrel exports (index.ts)
- Prefer functional components

## Dependencies

### External
- React 18.x - UI framework
- TypeScript 5.x - Type safety
- Vite - Build tool

<!-- MANUAL: Custom project notes can be added below -->

Nested AGENTS.md

markdown
<!-- Parent: ../AGENTS.md -->
<!-- Generated: 2024-01-15 | Updated: 2024-01-15 -->

# components

## Purpose
Reusable React components organized by feature and complexity.

## Key Files
| File | Description |
|------|-------------|
| `index.ts` | Barrel export for all components |
| `Button.tsx` | Primary button component |
| `Modal.tsx` | Modal dialog component |

## Subdirectories
| Directory | Purpose |
|-----------|---------|
| `forms/` | Form-related components (see `forms/AGENTS.md`) |
| `layout/` | Layout components (see `layout/AGENTS.md`) |

## For AI Agents

### Working In This Directory
- Each component has its own file
- Use CSS modules for styling
- Export via index.ts

### Testing Requirements
- Unit tests in `__tests__/` subdirectory
- Use React Testing Library

### Common Patterns
- Props interfaces defined above component
- Use forwardRef for DOM-exposing components

## Dependencies

### Internal
- `src/hooks/` - Custom hooks used by components
- `src/utils/` - Utility functions

### External
- `clsx` - Conditional class names
- `lucide-react` - Icons

<!-- MANUAL: -->

Triggering Update Mode

When running on an existing codebase with AGENTS.md files:

  1. Detect existing files first
  2. Read and parse existing content
  3. Analyze current directory state
  4. Generate diff between existing and current
  5. Apply updates while preserving manual sections

Performance Considerations

  • Cache directory listings - Don't re-scan same directories
  • Batch small directories - Process multiple at once
  • Skip unchanged - If directory hasn't changed, skip regeneration
  • Parallel writes - Multiple agents writing different files simultaneously

Frequently asked questions

What does the Deepinit AI skill do?

Deep codebase initialization with hierarchical AGENTS.md documentation

Why use Deepinit on TypingMind?

Because you install it once and use it with any model. Deepinit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deepinit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/deepinit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deepinit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deepinit?

As many as you like. As long as a model supports skills, you can use Deepinit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deepinit AI skill free?

Yes. It is published on GitHub by Yeachan-Heo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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