Martin FowlerのPoEAAに基づくRepositoryパターン設計と実装を専門とするスキル。 アプリケーション層とデータアクセス層を分離し、ドメインエンティティをコレクション風 インターフェースで操作する抽象化を提供します。 📖 参照書籍: - 『Design Patterns』(Erich Gamma et al.): 設計パターン 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/design-principles.md`: Repository設計原則 - `resources/entity-mapping.md`: エンティティマッピングガイド - `resources/implementation-patterns.md`: Repository実装パターン - `resources/interface-patterns.md`: Repositoryインターフェース設計パターン - `resources/legacy-skill.md`: 旧SKILL.mdの全文 - `scripts/log_usage.mjs`: 使用記録・自動評価スクリプト - `scripts/validate-repository.mjs`: Repository構造検証スクリプト - `scripts/validate-skill.mjs`: スキル構造検証スクリプト - `templates/repository-implementation-template.md`: Repository実装テンプレート - `templates/repository-interface-template.md`: Repositoryインターフェーステンプレート - `resources/requirements-index.md`: 要求仕様の索引(docs/00-requirements と同期) Use proactively when handling
Server-Sent Events (SSE) streaming for Claude API with support for text, tool use, and extended thinking. Activate for real-time responses, stream handling, and progressive output.
Next.jsアプリケーションのパフォーマンス最適化を専門とするスキル。 📚 リソース参照: このスキルには以下のリソースが含まれています。 必要に応じて該当するリソースを参照してください: - `.claude/skills/web-performance/resources/code-splitting.md`: Code Splittingリソース - `.claude/skills/web-performance/resources/dynamic-import.md`: Dynamic Importリソース - `.claude/skills/web-performance/resources/font-optimization.md`: Font Optimizationリソース - `.claude/skills/web-performance/resources/image-optimization.md`: Image Optimizationリソース - `.claude/skills/web-performance/templates/dynamic-import-template.md`: Dynamic Importテンプレート - `.claude/skills/web-performance/templates/image-component-template.md`: Image Componentテンプレート - `.claude/skills/web-performance/scripts/analyze-bundle.mjs`: Analyze Bundleスクリプト
GitHub API を GitHub Actions 内で活用するための統合スキル。 専門分野: 📖 参照書籍: - 『RESTful Web APIs』(Leonard Richardson): リソース設計 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/graphql-api.md`: graphql-api の詳細ガイド - `resources/legacy-skill.md`: 旧SKILL.mdの全文 - `resources/rest-api.md`: rest-api の詳細ガイド - `scripts/api-helper.mjs`: apihelperを処理するスクリプト - `scripts/log_usage.mjs`: 使用記録・自動評価スクリプト - `scripts/validate-skill.mjs`: スキル構造検証スクリプト - `templates/api-workflow.yaml`: api-workflow のテンプレート Use proactively when handling github api integration tasks.
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
Execute agentic coding tools directly via bash commands with output capture. Use this when the user requests to run AI agents (Gemini, Claude Code, etc.) and get their results directly.
Manages practice rules. Use when user states a preference or approach, or asks to add/modify rules for coding, architecture, tooling, or best practices.
Use this skill when creating new skills via forced conceptual collision of existing patterns. Duct-tapes jank-builder to super-collider for autopoietic meta-skill generation.
Composite Actionsのスキル。 📖 参照書籍: - 『The Pragmatic Programmer』(Andrew Hunt, David Thomas): 実践的改善 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/action-syntax.md`: Composite Action 構文リファレンス - `resources/best-practices.md`: Composite Actions ベストプラクティス - `resources/legacy-skill.md`: 旧SKILL.mdの全文 - `scripts/log_usage.mjs`: 使用記録・自動評価スクリプト - `scripts/validate-action.mjs`: Composite Action Validator - `scripts/validate-skill.mjs`: スキル構造検証スクリプト - `templates/composite-action/action.yml`: action のテンプレート Use proactively when handling composite actions tasks.
Documentation organization, maintenance, and cleanup. USE WHEN: organizing docs, cleaning project root, updating documentation, checking for redundancy, maintaining docs structure. NOT FOR: technical implementation (use relevant technical skill). Examples: <example> Context: User added documentation to wrong location. user: "I added a new API doc file to the root directory" assistant: "I'll use docs-keeper to organize it in the proper docs/ location." <commentary>File organization is docs-keeper responsibility.</commentary> </example> <example> Context: User needs to update docs after code changes. user: "I modified the auth system and need to update the docs" assistant: "I'll use docs-keeper to update the authentication documentation." <commentary>Documentation updates are docs-keeper responsibility.</commentary> </example>
Deploys WitchCityRope to production environment on DigitalOcean. Automates build, registry push, server deployment, database migrations (if needed), health verification, and rollback capability. SINGLE SOURCE OF TRUTH for production deployment automation.
Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.
Centralized JSON validation for AGENT_SUCCESS_CRITERIA with defensive parsing and injection attack prevention (CVSS 8.2)
Analyzes polyglot codebases with multiple programming languages using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: - Working with projects containing multiple programming languages - Assessing cross-language integration patterns and quality - Understanding language distribution and architectural boundaries - Comparing quality metrics across language ecosystems - Identifying language-specific best practices violations Supports 25+ languages including Rust, Python, TypeScript, JavaScript, Go, C++, Java, Ruby, PHP, Swift, Kotlin, C, C#, Scala, Haskell, Elixir, Clojure, Dart, Lua, R, and more. Provides unified quality assessment across heterogeneous codebases.
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
Expert on Shelby Protocol architecture, erasure coding, placement groups, read/write procedures, Clay Codes, chunking, storage providers, RPC servers, and decentralized storage system design on Aptos blockchain. Triggers on keywords Shelby Protocol, erasure coding, Clay Codes, placement groups, Shelby architecture, storage provider, blob storage, chunking, Shelby whitepaper.
Discovers, validates, and integrates Model Context Protocol (MCP) tools into Claude Code skills. Searches MCP catalogs, scores candidates, generates tool configurations, and optionally sets up Docker runtimes. Use when creating skills that need external MCP tool integration.
Troubleshoot and manage GCP e2-micro VM running eth-realtime-collector. Use when VM service is down, systemd failures occur, real-time data stream stops, or VM network issues arise. Keywords systemd, journalctl, eth-collector, gcloud compute.
Find AILANG vs Python eval gaps and improve prompts/language. Use when user says 'find eval gaps', 'analyze benchmark failures', 'close Python-AILANG gap', or after running evals.
Complete mandatory cleanup before presenting changes for user approval in AWAITING_USER_APPROVAL state