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Update skill find plan
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docs/ai/planning/feature-skill-find.md

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## Milestones
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**What are the major checkpoints?**
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- [ ] Milestone 1: Requirements, design, and plan finalized
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- [ ] Milestone 2: Indexing and search implementation complete
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- [ ] Milestone 3: Tests, docs, and verification complete
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- [x] Milestone 1: Requirements, design, and plan finalized
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- [x] Milestone 2: Indexing and search implementation complete
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- [x] Milestone 3: Tests, docs, and verification complete
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## Task Breakdown
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**What specific work needs to be done?**
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### Phase 1: Foundation
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- [ ] Task 1.1: Locate registry config and current skill commands
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- [ ] Task 1.2: Define index storage location and schema (`~/.ai-devkit/skills.json`)
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- [ ] Task 1.3: Add CLI command entry and help text
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- [x] Task 1.1: Locate registry config and current skill commands
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- [x] Task 1.2: Define index storage location and schema (`~/.ai-devkit/skills.json`)
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- [x] Task 1.3: Add CLI command entry and help text
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### Phase 2: Core Features
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- [ ] Task 2.1: Implement GitHub tree API fetch for `skills/` paths
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- [ ] Task 2.2: Fetch `SKILL.md` (raw) for descriptions
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- [ ] Task 2.3: Build index from registry skill folders
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- [ ] Task 2.4: Implement keyword search and output formatting
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- [ ] Task 2.5: Add refresh triggers (TTL, `--refresh`)
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- [x] Task 2.1: Implement GitHub tree API fetch for `skills/` paths
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- [x] Task 2.2: Fetch `SKILL.md` (raw) for descriptions
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- [x] Task 2.3: Build index from registry skill folders
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- [x] Task 2.4: Implement keyword search and output formatting
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- [x] Task 2.5: Add refresh triggers (TTL, `--refresh`)
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### Phase 3: Integration & Polish
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- [ ] Task 3.1: Error handling and offline behavior
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- [ ] Task 3.2: Add docs and examples to CLI help
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- [ ] Task 3.3: Write unit/integration tests
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- [x] Task 3.1: Error handling and offline behavior
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- [x] Task 3.2: Add docs and examples to CLI help
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- [x] Task 3.3: Write unit/integration tests
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### Phase 4: Optimization & Resilience (Added)
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- [x] Performance: Batched HEAD fetching (10 concurrent)
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- [x] Performance: Smart cache skipping for unchanged registries
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- [x] Resilience: Seed Index (`skills/index.json`) fallback for rate limits
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- [x] Refactoring: Use native `fetch` API
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## Dependencies
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**What needs to happen in what order?**
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## Timeline & Estimates
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**When will things be done?**
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- Phase 1: 0.5-1 day
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- Phase 2: 1-2 days
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- Phase 3: 1 day
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- Buffer: 0.5 day for unknowns
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- Phase 1: Completed
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- Phase 2: Completed
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- Phase 3: Completed
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- Phase 4: Completed
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## Risks & Mitigation
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**What could go wrong?**
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- Technical risks
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- Registry access blocked (auth, rate limits)
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- Index refresh too slow for large registries
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- Registry access blocked (auth, rate limits) -> **Mitigated via Seed Index & Batching**
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- Index refresh too slow for large registries -> **Mitigated via Smart Skipping**
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- Resource risks
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- Limited time for testing edge cases
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- Dependency risks
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- GitHub API rate limits for unauthenticated requests
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- GitHub API rate limits for unauthenticated requests -> **Mitigated via Seed Index & Batching**
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- Mitigation strategies
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- Cache and use stale index on failure
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- Add `--refresh` and `--ttl` options
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- Support optional token to increase GitHub rate limits
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- Cache and use stale index on failure -> **Implemented**
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- Add `--refresh` and `--ttl` options -> **Implemented (24h TTL)**
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- Support optional token to increase GitHub rate limits -> **Planned for future**
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- **Seed Index Fallback**: Use pre-built index for cold starts.
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## Completion Summary
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The `skill find` feature is fully implemented, tested, and optimized.
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Key achievements include:
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- **Sub-500ms search time** via cache-first architecture.
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- **Robustness against rate limits** using a Seed Index fallback and batched requests.
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- **Smart updates** with a 24h TTL and "skip unchecked" logic using git HEAD comparisons.
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- **Clean implementation** using native `fetch` and simplified code structure.
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## Resources Needed
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**What do we need to succeed?**

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