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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Creates a comprehensive, context-rich implementation plan through deep codebase analysis, a short clarifying interview, and external research. | coleam00/ | 676 | — | ~4.9k | Automated safety check: Pass | MIT | 4 days ago |
| 2 | Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). | coleam00/ | 676 | — | ~1.5k | Automated safety check: Pass | MIT | 4 days ago |
| 3 | Interactively explore HOW to approach an intent (a PRD, epic, brief, or free-form idea) and decide the high-level architecture — the approach, stack, libraries, data shape, and risks the intent left… | coleam00/ | 676 | — | ~2.4k | Automated safety check: Pass | MIT | 4 days ago |
| 4 | Primes the agent with deep codebase understanding by analyzing structure, documentation, and key files. | coleam00/ | 676 | — | ~887 | Automated safety check: Pass | MIT | 4 days ago |
| 5 | Decomposes a PRD into well-formed, engineer-ready tickets — Jira issues or GitHub issues. | coleam00/ | 676 | — | ~922 | Automated safety check: Pass | MIT | 4 days ago |
| 6 | Primes the agent with focused understanding of the backend portion of the codebase — API routes, services, data models, and database layer — without loading unrelated frontend code. | coleam00/ | 676 | — | ~1.1k | Automated safety check: Pass | MIT | 4 days ago |
| 7 | Primes the agent with focused understanding of the frontend portion of the codebase — components, routing, state management, and styling — without loading unrelated backend code. | coleam00/ | 676 | — | ~1k | Automated safety check: Pass | MIT | 4 days ago |