AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Audits UI code for compliance with professional web design standards and accessibility best practices.
Automates the creation of structured task files and project directory hierarchies for streamlined workflow management.
Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.
Orchestrates a multi-agent debate between independent AI judges to reach a high-accuracy consensus on solution quality.
Refines rough project concepts into fully-formed technical designs through interactive questioning and multi-path approach exploration.
Orchestrates complex coding tasks by decomposing them into verified sequential sub-steps using specialized AI agents and model selection.
Streamlines the creation of high-performance Claude Code agents using Anthropic-aligned structures, triggering logic, and optimized system prompts.
Generates structured, single-page A3 problem-solving reports with deep root cause analysis and actionable implementation plans.
Performs a multi-agent, comprehensive audit of uncommitted local changes to identify bugs, security risks, and quality improvements before you commit.
Configures standardized code formatting rules and style guidelines within CLAUDE.md to ensure consistent AI-generated code.
Generates structured, high-quality Claude Code commands using standardized patterns and MCP tool integrations.
Conducts iterative Five Whys root cause analysis to uncover systemic issues and propose fundamental solutions.
Maintains and synchronizes project documentation, READMEs, and API references with local code changes using a multi-agent workflow.
Performs systematic Fishbone (Ishikawa) analysis to identify root causes of software failures and process bottlenecks.
Automates the discovery, configuration, and testing of intelligent Claude Code hooks to enforce project standards and security.
Curates and persists project-specific insights and patterns into CLAUDE.md to improve long-term agent performance.
Configures a Docker-based MCP server for searching and downloading academic papers from arXiv, PubMed, and other scholarly sources.
Transforms draft task specifications into implementation-ready plans through multi-agent analysis and quality-gated verification.
Enables the creation of robust, bulletproof Claude Code skills using a specialized Test-Driven Development (TDD) approach to process documentation.
Streamlines merging changes from multiple git worktrees using selective checkouts, interactive patching, and guided cherry-picking strategies.
Optimizes software development workflows and code quality using intelligent Kaizen analysis techniques like Gemba Walks and Value Stream Mapping.
Applies Anthropic's official authoring guidelines to help developers build concise, well-structured, and discoverable Claude Code skills.
Configures your project context with strict TypeScript coding standards and production-grade architectural patterns.
Exports open GitHub issues into local markdown files to provide structured project context for AI development.
Evaluates and scores AI-generated work using a specialized, context-isolated sub-agent to ensure high-quality results.
Systematically repairs failing unit and integration tests after code changes using intelligent agent orchestration.
Transforms GitHub issues into comprehensive technical specifications and implementation plans automatically.
Generates a diverse range of ideas and solutions by balancing high-probability outcomes with creative sampling of unconventional possibilities.
Automates complex task implementation using an orchestrator-agent pattern with integrated LLM-as-Judge quality verification.
Streamlines parallel development by automating Git worktree creation and environment setup with automatic dependency installation.
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