init-deep
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.
git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE /tmp/init-deep && cp -r /tmp/init-deep/skills/init-deep ~/.claude/skills/init-deepSKILL.md
# 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- After major restructuring when context files are outdated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
```markdown
# 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](https://github.com/code-yeongyu/oh-my-opencode) /init-deep commandApplies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.
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