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Generate structured study notes following Bloom's Taxonomy methodology. Creates comprehensive notes from topic titles or reference files. Use when user asks to "create notes", "generate notes", "make study note...
This skill should be used when the user asks to "テストのドキュメントを作成", "create test document", "テストをレビュー", "review tests", "テスト網羅性を確認", "test coverage", "テストマトリクスを作成", "テスト...
This skill should be used when the user asks to "プロジェクト憲章", "charter", "プロジェクト定義", "プロジェクト開始", "project kickoff", "Why/What/How", "目的を整理", "スコープ定義", "ゴール設定". MUST USE th...
This skill should be used when the user wants to "create a skill", "スキルを作成して", "add a skill to plugin", "スキルをプラグインに追加して", "write a new skill", "新しいスキルを作成して", "improve skill desc...
This skill should be used when implementing new features, understanding existing patterns, or when the user asks about "project-specific knowledge", "domain knowledge", "business logic", "data schema", "pipelin...
Generate comprehensive repository documentation following team standards. Use when creating README, CLAUDE.md, ARCHITECTURE.md, DESIGN_DECISIONS.md, or any project documentation. Includes Mermaid diagrams, stat...
Start iterative requirement clarification loop. Use this skill when the user has a vague requirement and wants to clarify it through structured questioning. Transforms unclear requirements into precise, actiona...
Retrieve up-to-date documentation and code examples from Context7. Use when you need library/framework documentation or API examples.
文档模板集合；创建Wiki或方案包文件时读取；包含所有知识库模板和方案文件模板
General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...
Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...
Generates optimized prompts for AI professional developers through interactive clarification. Asks targeted questions to refine requirements, saves tokens, and ensures reliable outputs. Use when seeking the bes...
Create a plan for fixing a bug
Project documentation with MkDocs Material - consistent structure, API auto-generation, GitHub Pages deployment
Hierarchical machine-readable documentation - root CLAUDE.md with module index, per-module CLAUDE.md for significant modules
Find and fix bugs systematically. Use when encountering errors, test failures, or unexpected behavior. Hypothesis-driven debugging to locate root causes and implement minimal fixes.
Generates comprehensive documentation including README, docstrings, and API docs. Use when creating documentation, writing README files, or adding code comments.
Systematic debugging approach for identifying and fixing issues. Use when debugging, troubleshooting errors, or asking about bugs and problems.
Multi-disciplinary strategy council with 5 expert personas. Use for strategic analysis, impact assessment, complex decisions requiring diverse expertise. Includes cross-examination to identify contradictions be...
Tree of Thoughts exploration for brainstorming and finding unknown unknowns. Recursively branches hypotheses, ranking by NOVELTY not probability. Use for idea generation, creative unblocking, exploring possibil...
Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic befo...
3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or...
Guidelines for clear technical writing and documentation.
Surface emergent patterns and insights from the AI-ready vault memory system. Use periodically to discover connections between memories, identify recurring themes, and generate meta-insights that aren't obvious...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.