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Found 7,349 Skills
Regression troubleshooting workflow for hook/router/memory/search failures with enforced evidence and fix validation
Audit installed skills across project, global, and plugin levels. Lists skills with line counts, identifies improvement opportunities (conciseness, clarity, overlap, token waste). Use when reviewing skill quality, finding bloated skills, or optimizing token budgets.
Create autonomous iterative loops (Ralph Wiggum pattern) for multi-step tasks. Use when setting up automated workflows that iterate over a backlog of tasks with clear acceptance criteria. Triggers on requests like "create a ralph loop", "set up an iterative agent", "automate this migration", or "create an autonomous loop".
TDD applied to documentation - create production-ready skills. Use when authoring new skills. Includes writing style guidelines for clear prose.
Create effective AI skills. This skill should be used when user wants to create a new skill (or update an existing skill) that extends an AI with specialized capabilities, knowledge, workflows, or tool integrations.
MixSeek-Plusのデバッグ機能を有効化し、ログ出力を制御します。「デバッグモードを有効化」「verbose」「ログを出力」「ログレベル」「デバッグ設定」といった依頼で使用してください。
Coach product managers with evidence-based feedback, growth plans, and operating cadence.
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
Configure and customize skills for your workspace by asking questions and updating skill files with your preferences.
Provide development estimates for tasks, features, or projects. Use when user asks for time estimates, effort assessment, or project sizing.
Configures OrchestKit settings. Use when customizing MCP servers, plugin options, or preferences.
Capture and persist lessons learned from a session to compound knowledge over time. Triggers on "/lessons-learned", "what did we learn", "save lessons", "update skills with what we learned", or at the end of a complex multi-session task. PROACTIVE USE: This skill should also be suggested or invoked (1) when resuming from context compaction (the previous context likely contained unrecorded lessons), (2) after resolving a non-trivial bug or debugging session, (3) after significant friction or failed approaches that yielded insight, (4) after a council-of-bots review that surfaced fixes. Identifies reusable patterns, bug fixes, workflow insights, and tool quirks, then persists them to the right places: auto-memory (project-specific), skill files (reusable across projects), or both.