deepinit▌
yeachan-heo/oh-my-claudecode · updated May 3, 2026
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Creates comprehensive, hierarchical AGENTS.md documentation across the entire codebase.
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:
<!-- 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
<!-- 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:
- Read all files in the directory
- Analyze purpose and relationships
- Generate AGENTS.md content
- Write file with proper parent reference
Step 4: Compare and Update (if exists)
When AGENTS.md already exists:
- Read existing content
- Identify sections:
- Auto-generated sections (can be updated)
- Manual sections (
<!-- MANUAL -->preserved)
- Compare:
- New files added?
- Files removed?
- Structure changed?
- Merge:
- Update auto-generated content
- Preserve manual annotations
- Update timestamp
Step 5: Validate Hierarchy
After generation, run validation checks:
| Check | How to Verify | Corrective Action |
|---|---|---|
| Parent references resolve | Read each AGENTS.md, check <!-- Parent: --> path exists |
Fix path or remove orphan |
| No orphaned AGENTS.md | Compare AGENTS.md locations to directory structure | Delete orphaned files |
| Completeness | List all directories, check for AGENTS.md | Generate missing files |
| Timestamps current | Check <!-- Generated: --> dates |
Regenerate outdated files |
Validation script pattern:
# Find all AGENTS.md files
find . -name "AGENTS.md" -type f
# Check parent references
grep -r "<!-- Parent:" --include="AGENTS.md" .
Smart Delegation
| Task | Agent |
|---|---|
| Directory mapping | explore |
| File analysis | architect |
| Content generation | writer |
| AGENTS.md writes | writer |
Empty Directory Handling
When encountering empty or near-empty directories:
| Condition | Action |
|---|---|
| No files, no subdirectories | Skip - do not create AGENTS.md |
| No files, has subdirectories | Create minimal AGENTS.md with subdirectory listing only |
| Has only generated files (*.min.js, *.map) | Skip or minimal AGENTS.md |
| Has only config files | Create AGENTS.md describing configuration purpose |
Example minimal AGENTS.md for directory-only containers:
<!-- Parent: ../AGENTS.md -->
# {Directory Name}
## Purpose
Container directory for organizing related modules.
## Subdirectories
| Directory | Purpose |
|-----------|---------|
| `subdir/` | Description (see `subdir/AGENTS.md`) |
Parallelization Rules
- Same-level directories: Process in parallel
- Different levels: Sequential (parent first)
- Large directories: Spawn dedicated agent per directory
- 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
<!-- 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
<!-- 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` how to use deepinitHow to use deepinit on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add deepinit
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill deepinitThe skills CLI fetches deepinit from GitHub repository yeachan-heo/oh-my-claudecode and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/deepinitReload or restart Cursor to activate deepinit. Access the skill through slash commands (e.g., /deepinit) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.8★★★★★33 reviews- ★★★★★Chen Thompson· Dec 24, 2024
deepinit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Dhruvi Jain· Dec 20, 2024
deepinit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Emma Sharma· Dec 8, 2024
We added deepinit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Park· Nov 27, 2024
Keeps context tight: deepinit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Henry Mensah· Nov 15, 2024
deepinit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Oshnikdeep· Nov 11, 2024
I recommend deepinit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Fatima Ndlovu· Nov 11, 2024
deepinit has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Okafor· Oct 18, 2024
deepinit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ishan Gupta· Oct 6, 2024
Keeps context tight: deepinit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Oct 2, 2024
Useful defaults in deepinit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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