agentsclimarketplace

Init deep

Skill ArabelaTso/Skills-4-SE/skills/init-deep

A curated list of 180+ useful Claude Skills for Software Engineering and resources for customizing AI for SE workflows.

Install
npx -y skills add ArabelaTso/Skills-4-SE --skill init-deep

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Generates hierarchical context files (CLAUDE.md) throughout a project directory tree, providing AI agents with directory-specific knowledge for better code understanding. Use when setting up a new project for AI-assisted development.

SKILL.md

3.6 KB, as published. Nobody here has run it

Init Deep — Hierarchical Context Generator

Automatically generates layered context files throughout a project's directory tree, giving AI agents directory-specific knowledge without loading the entire codebase into context.

When to Use This Skill

  • Setting up a new project for AI-assisted development
  • Onboarding AI agents to an existing codebase
  • After major restructuring when context files are outdated
  • When AI agents lack understanding of project-specific conventions

What This Skill Does

Concept

Create an CLAUDE.md file at each significant directory level:

project/
├── CLAUDE.md              # Project-wide: overview, conventions, anti-patterns
├── src/
│   ├── CLAUDE.md          # src-specific: architecture, module boundaries
│   ├── api/
│   │   └── CLAUDE.md      # API-specific: routes, middleware, auth patterns
│   └── components/
│       └── CLAUDE.md      # Component-specific: naming, props, styling
├── tests/
│   └── CLAUDE.md          # Test-specific: frameworks, fixtures, patterns
└── infra/
    └── CLAUDE.md          # Infra-specific: deployment, configs, secrets

When an AI reads src/api/routes/auth.ts, it automatically picks up context from:

  1. project/CLAUDE.md (project-wide)
  2. project/src/CLAUDE.md (source conventions)
  3. project/src/api/CLAUDE.md (API patterns)

Generation Process

  1. Scan the project structure (respect .gitignore)
  2. Analyze each directory:
    • What files are here? What do they do?
    • What patterns/conventions are used?
    • What are the key dependencies?
    • What should an AI know before editing files here?
  3. Generate CLAUDE.md with:
    • OVERVIEW: What this directory contains
    • STRUCTURE: Key files and their purposes
    • WHERE TO LOOK: Task-to-file mapping table
    • CONVENTIONS: Naming, patterns, style rules
    • ANTI-PATTERNS: What NOT to do here
    • COMMANDS: Relevant build/test/run commands

Content Guidelines

Each CLAUDE.md should be:

  • Concise — Under 100 lines. AI context window is precious.
  • Actionable — "WHERE TO LOOK" tables, not prose descriptions
  • Specific — Conventions for THIS directory, not general advice
  • Current — Regenerate after major restructuring

Root CLAUDE.md Template

# PROJECT KNOWLEDGE BASE

## OVERVIEW
[1-2 sentences: what this project is]

## STRUCTURE
[Directory tree with annotations]

## WHERE TO LOOK
| Task | Location | Notes |
|------|----------|-------|
| Add a feature | src/features/ | One dir per feature |
| Fix a bug | src/core/ | Core logic here |
| Add a test | tests/ | Mirror src/ structure |

## CONVENTIONS
- [Naming rules]
- [Pattern rules]
- [Import rules]

## ANTI-PATTERNS
- Do NOT [common mistake 1]
- Do NOT [common mistake 2]

## COMMANDS
[Build, test, lint, deploy commands]

Options

  • --max-depth=N — Limit directory depth (default: 3)
  • --create-new — Only create new files, don't overwrite existing

Example

User: "Set up CLAUDE.md files for this project"

Output: Scans project, generates 6 CLAUDE.md files across the directory tree. Root file has project overview, src/ file has architecture notes, each major subdirectory gets specific conventions and anti-patterns.

Inspired by: oh-my-opencode /init-deep command

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.