Automation

Cloudflare Workers development patterns including Workers AI, Durable Objects, KV storage, and Hono routing. Use when building serverless edge functions, AI-powered services, or stateful workflows on Cloudflare.

コマンドのドキュメント設計（セルフドキュメンティング構造/使用例/トラブルシューティング）を整理し、説明の一貫性と読みやすさを支援するスキル。 章構成、記述ルール、検証手順を一貫して整理する。 Anchors: • Software Requirements (Karl Wiegers) / 適用: 要求の言語化と構造化 / 目的: 説明品質の安定化 Trigger: Use when documenting commands, creating usage examples, or designing troubleshooting sections for command workflows. command documentation, usage examples, troubleshooting, self-documenting structure

Create event handler hooks for Claude Code plugins that respond to tool use, sessions, and notifications. Use when creating hooks, event handlers, or automation for plugins.

Complete workflow for conducting thorough code reviews with structured feedback

This skill should be used when the user asks to "build an AI assistant", "create a chatbot", "make an agent that does X for me", "design a copilot feature", "automate this workflow with AI", or requests delegation-style AI features. Offers a reframe from copilot patterns (conversation, delegation) to HUD patterns (ambient awareness, perception augmentation).

Automates releases and package publishing with changesets or semantic-release. Handles versioning, changelog generation, git tags, and release notes. Use for "release automation", "semantic versioning", "package publishing", or "changelog generation".

This skill automates database backups using the database-backup-automator plugin. It creates scripts for scheduled backups, compression, encryption, and restore procedures across PostgreSQL, MySQL, MongoDB, and SQLite. Use this when the user requests database backup automation, disaster recovery planning, setting up backup schedules, or creating restore procedures. The skill is triggered by phrases like "create database backup", "automate database backups", "setup backup schedule", or "generate restore procedure".

Use OpenAI's Deep Research API (o3 / o4 models) to automate multi-step, citation-backed research workflows.

Launch and control Chrome with AT-SPI2 accessibility for browser automation. Use when asked to start chrome, open browser, launch chrome, begin browser automation, or control web pages.

This skill enables Claude to generate end-to-end (E2E) tests for web applications. It leverages Playwright, Cypress, or Selenium to automate browser interactions and validate user workflows. Use this skill when the user requests to "create E2E tests", "generate end-to-end tests", or asks for help with "browser-based testing". The skill is particularly useful for testing user registration, login flows, shopping cart functionality, and other multi-step processes within a web application. It supports cross-browser testing and can be used to verify the responsiveness of web applications on different devices.

Create new Claude Code skills from procedural knowledge. Invoke PROACTIVELY when: - Discovering a reusable workflow pattern worth preserving - User asks to "capture this as a skill" or "make this reusable" - Recognizing institutional knowledge that should persist - After solving a problem in a novel way worth repeating - Noticing repeated patterns across sessions AUTONOMOUS: Create skills proactively, then inform user what was created.

This skill enables Claude to orchestrate complex test workflows using the test-orchestrator plugin. It allows Claude to define test execution graphs with dependencies, execute tests in parallel, and intelligently select tests to run based on code changes. Use this skill when a user requests test orchestration, dependency management for tests, parallel test execution, smart test selection, or CI/CD integration for testing. Trigger terms include "orchestrate tests", "test workflow", "parallel testing", "smart test selection", "test dependencies", and "/orchestrate".

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."

Analyze task descriptions and requirements for completeness, clarity, and implementability. Use when evaluating if a task has sufficient detail to begin implementation or if clarification is needed.

Expert guidance on Turborepo build orchestration and remote caching workflow. Use this skill when running build commands, troubleshooting caching issues, working with monorepo task execution, or investigating CI/CD pipeline problems. Covers the critical pattern of always using root-level pnpm scripts, understanding the turbo-wrapper.js authentication system, filter syntax for targeting packages, and remote cache configuration.

Create symptom-based debugging documentation that matches how developers actually search for solutions

SOLID原則のインターフェース分離原則（ISP）を専門とするスキル。クライアントが使用しないメソッドへの依存を強制しない設計を実現する。Anchors:• 『アジャイルソフトウェア開発の奥義』（Robert C. Martin） / 適用: ISP原則の定義と実践 / 目的: クライアント固有インターフェース設計• 『Refactoring』（Martin Fowler） / 適用: Extract Interface, Decompose Interface / 目的: 段階的な分離リファクタリング• 『Test-Driven Development』（Kent Beck） / 適用: Simple Design, テスト容易性評価 / 目的: 設計品質検証Trigger:Use when detecting fat interfaces, segregating bloated interfaces, designing role-based interfaces,analyzing ISP violations, refactoring interfaces, implementing interface composition patterns,IWorkflowExecutor, IValidatable, IRetryable, empty implementation, exception throwing, conditional implementation.

This skill enables Claude to track and manage AI/ML model versions using the model-versioning-tracker plugin. It should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control for AI/ML models. Use this skill when the user mentions "track versions", "model registry", "MLflow", or requests assistance with AI/ML model deployment and management. This skill facilitates the implementation of best practices for model versioning, automation of model workflows, and performance optimization.

Tool discovery, routing, chaining, error handling, and composition for the 34+ MCP scheduling tools. Use when orchestrating complex multi-tool workflows, handling MCP errors, or discovering available capabilities.

This skill configures load balancers, including ALB, NLB, Nginx, and HAProxy. It generates production-ready configurations based on specified requirements and infrastructure. Use this skill when the user asks to "configure load balancer", "create load balancer config", "generate nginx config", "setup HAProxy", or mentions specific load balancer types like "ALB" or "NLB". It's ideal for DevOps tasks, infrastructure automation, and generating load balancer configurations for different environments.