markdown-presentation
This skill should be used when creating markdown-based presentations with expandable sections, timing guides, and speaker-friendly formatting. Use for team onboarding, technical deep-dives, and knowledge transfer sessions.
This skill should be used when creating markdown-based presentations with expandable sections, timing guides, and speaker-friendly formatting. Use for team onboarding, technical deep-dives, and knowledge transfer sessions.
Use when a plan, PRD, or spec has vague requirements, undefined terms, or missing details - conducts structured interview using AskUserQuestion to surface hidden assumptions, challenge ambiguities, and produce implementation-ready specs. Also use proactively when encountering plans that say things like "make it faster" or "improve UX" without concrete definitions.
Technical specification writing for implementation details. Use when documenting how to build a solution (post-decision), API contracts, schemas, and system design. Complements RFC skill which handles decision-making.
Critically reviews specifications, generates clarifying questions and improvement suggestions, and applies refinements based on user feedback
Generate standardized document templates (DOCUMENT, TECHNICAL, PROPOSAL, RESEARCH, SECURITY-QA, INDEX) with YAML frontmatter, Quick Reference sections, and consistent structure for professional documentation.
Universal markdown content quality standards for active voice, heading hierarchy, accessibility compliance (alt text, WCAG AA contrast, screen reader support), and professional formatting. Essential for all markdown content creation across docs/, Hugo sites, plans/, and repository files. Auto-loads when creating or editing markdown content.
Use when user provides YouTube URL and says "document this", "create notes", or "save this video". Automatically extracts transcript, determines folder placement, and generates Knowledge Framework documentation with MECE structure, Mermaid diagrams, and clickable timestamp citations.
Creates and bootstraps Knowledge Graph projects from video transcripts. Extracts entities (people, organizations, concepts) and relationships into searchable graphs. Use when users want to build a knowledge graph, extract entities, analyze connections between people/organizations, or select Option 5 after transcription.
Updates documentation (READMEs and store descriptions) across multiple languages.
Structured reasoning tools for complex problem analysis with observation, hypothesis, analysis, and conclusion steps. Use when analyzing complex problems, debugging difficult issues, or making important decisions.
Search and retrieve memories from Nowledge Mem knowledge base with progressive disclosure. This skill should be used when the user asks to search memories, recall past knowledge, find saved information, look up conversation history, expand thread details, or mentions keywords like "记忆", "知识库", "之前说过", "我保存的", "历史对话".
Record lessons learned and experiences for future reference. Use after solving bugs, discovering patterns, making decisions, or completing complex features.
Transform markdown knowledge repositories into Claude skills. Analyzes knowledge bases, generates SKILL.md files with appropriate loading strategies, and packages distributable skills. Use when creating skills from documentation, frameworks, or knowledge gardens.
Design and create Claude Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.
Wind/Wall/Door multi-perspective debate orchestration using debate-hall-mcp tools. Use when facilitating structured debates, architectural decisions, or multi-perspective analysis.
This skill should be used when the user asks to "create a skill", "add a new skill", "write a skill", "make a skill", "skill template", "scaffold a skill", "skill directory structure", "SKILL.md format", "skill frontmatter", or needs guidance on skill structure, trigger descriptions, progressive disclosure, or skill validation for Claude Code.
OpenAPI仕様の専門スキル。 API定義、スキーマ設計、ドキュメント生成を提供します。 Anchors: • 『OpenAPI Specification』(Linux Foundation) / 適用: API仕様設計 / 目的: REST API標準化 • 『RESTful API設計のベストプラクティス』(複数出典) / 適用: エンドポイント設計 / 目的: 一貫性確保 Trigger: OpenAPI仕様書作成時、API定義ドキュメント作成時、Swagger仕様設計時に使用
Build modern documentation websites with Docusaurus. Covers docs, blog, pages, versioning, i18n, search integration, and deployment patterns. React-based with MDX support for interactive documentation.
Expert knowledge of Godot Engine game development including scene creation, node management, GDScript programming, and project structure. Use when working with Godot projects, creating or modifying scenes, adding nodes, writing game scripts, or solving Godot-specific problems.
Claude Codeスキルを公式ベストプラクティスに基づいてレビューする。SKILL.mdファイルのレビュー、 スキル品質のチェック、スキル構造の検証、改善提案が必要な場合に使用。 トリガー:「このスキルをレビューして」「スキル品質をチェック」「SKILL.mdを検証」 「このスキルを改善」などのスキルレビューリクエストで起動。
Information and guidelines for building custom skills for the MCP server.
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
Comprehensive guide for creating by-example tutorials - code-first learning path with 75-90 heavily annotated examples achieving 95% language coverage. Covers five-part example structure, annotation density standards (1-2.25 comments per code line PER EXAMPLE), self-containment rules, and multiple code blocks for comparisons. Essential for creating by-example tutorials for programming languages on educational platforms