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Skill especializada en facilitación y knowledge crunching para Domain Storytelling, enfocada en detectar huecos lógicos en narrativas (plot holes), usar anotaciones para registrar variaciones sin complicar el diagrama principal, e identificar pain points donde los expertos mencionan problemas o ineficiencias. Útil para refinar historias de dominio, asegurar completitud lógica y capturar problemas del proceso actual.

Generate comprehensive data model documentation with ERD, DTOs, and data flow diagrams

Consolidate README content using language-aware exemplars, internal doc linkage, and reproducible evidence.

This skill guides creating autonomous agents for Claude Code plugins using markdown files with YAML frontmatter. Use when building new agents, designing agent system prompts, or configuring agent behavior.

Master software architecture, system design, design patterns, distributed systems, and technical leadership. Learn to architect scalable, reliable, and maintainable systems.

Use when creating new skills, editing existing skills, or verifying skills work before deployment

Detect and resolve incoherence in documentation, code, specs vs implementation. Includes reconciliation phase for applying user-provided resolutions.

Generate/update project README by scanning all plugins and tools. Use when user asks to "生成 README", "更新 README", "generate README", "update README".

Load when user says "validate docs", "check documentation consistency", "docs vs implementation", or "find documentation mismatches". Systematically compares implementation code against documentation to identify and fix inconsistencies.

add and manage documentation in code, including constants, variables, functions, classes, and modules

ReactでSPAフロントエンドを実装・改修するためのガイド。バックエンド分離前提でNext.jsやサーバーサイド機能に依存せず、React Router中心のクライアント実装を行う時に使う。認証はAuthProviderとuseAuthカスタムフックで統一し、OpenAPIからorvalまたはopenapi-typescriptで型/クライアントを生成して利用する。ESLint+Prettier、zod、shadcn/ui、デザイントークン（CSS変数/Tailwindテーマ）を前提にする場合に適用する。ディレクトリ構成はmodules/components/hooks/providers/servicesなどの直感的な命名で複雑化に耐える構成にする。

Expert knowledge of testing Node.js and Express applications including Jest configuration, Supertest for API testing, unit vs integration vs e2e testing, mocking external APIs, test organization, code coverage, CI/CD integration, and TDD practices. Use when writing tests, setting up testing framework, debugging test failures, or adding test coverage.

Expert Unreal Engine 5 developer and technical artist for complete game development via agentic coding. Enables AI-driven control of Unreal Editor through MCP, Python scripting, Blueprints, and C++ for level design, asset management, gameplay programming, and visual development.

Technical workflow for architect-agent - PRD creation with mandatory database context, entity design with Zod, iteration review, and agent coordination in the iterative v2.0 system

Generate PlantUML diagrams from text descriptions and convert them to PNG/SVG images. Use when asked to "create a diagram", "generate PlantUML", "convert puml to image", "extract diagrams from markdown", or "prepare markdown for Confluence". Supports all PlantUML diagram types including UML (sequence, class, activity, state, component, deployment, use case, object, timing) and non-UML (ER diagrams, Gantt charts, JSON/YAML visualization, mindmaps, WBS, network diagrams, wireframes, and more).

Use when configuring Karabiner-Elements keyboard customizations, before writing JSON - provides systematic workflow for complex modifications with correct structure, common patterns, and guidance on manual vs generator approaches

Generate neat, clean flashcards in markdown table format from a topic title or reference file. Use when you need to create study materials, review cards, or learning aids for any subject.

Fetches library documentation from Context7 and the web, then saves it to ai_docs/ in organized category-based folders. Supports version management, topic-specific documentation, and refreshing existing docs. Automatically invoked for requests to fetch or save library documentation.

Search technical documentation using executable scripts to detect query type, fetch from llms.txt sources (context7.com), and analyze results. Use when user needs: (1) Topic-specific documentation (features/components/concepts), (2) Library/framework documentation, (3) GitHub repository analysis, (4) Documentation discovery with automated agent distribution strategy

Use when writing Go code to interact with Hetzner Cloud API - automation, infrastructure provisioning, bots, integrations, or programmatic cloud operations