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Found 9,636 Skills
Planが承認/完了した直後に自律的に呼び出す必要があるスキルです。 Trigger: plan approved, plan completed, taskを開始します
Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.
Use when planning or designing features and need to understand current codebase state, find existing patterns, or verify assumptions about what exists; when design makes assumptions about file locations, structure, or existing code that need verification - prevents hallucination by grounding plans in reality
Create GitHub issues using data-driven templates. Supports any issue type via configurable template configs. Use when the user asks to create a GitHub ticket, issue, or support ticket, or when they want to add a new issue template.
Guide wanderers to the right animal for their journey. Perch, tilt your head, chatter about the forest, present the options, and warble the recommendation. Use when helping users choose which skill to use, discovering capabilities, or navigating the ecosystem.
Use when a session produced reusable insights, when the user says "learn from this", "remember this", or "improve yourself", or after completing a complex task where patterns were discovered
Generate structured task lists from specs or requirements. IMPORTANT: After completing ANY spec via ExitSpecMode, ALWAYS ask the user: "Would you like me to generate a task list for this spec?" Use when user confirms or explicitly requests task generation from a plan/spec/PRD.
A general research briefing template for quickly organizing research questions, distilling facts and uncertainties, and providing suggestions for subsequent experiments/interviews/data extraction.
Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.
Commit any uncommitted changes, run lint checks, fix any issues, and push the current branch. Delegates to a haiku sub-agent for speed.
Review the current session for errors, issues, snags, and hard-won knowledge, then update the rules/ files (or AGENTS.md if no suitable rule file exists) with actionable learnings.
Hypothesis-driven autonomous debugging with real command validation