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。
Implements professional, utility-first styling patterns for modern responsive web interfaces using the Tailwind CSS framework.
Facilitates precise, line-based code movement and refactoring between files with optimized token usage for large operations.
Generates comprehensive, multi-file documentation for software projects including architecture diagrams, data flows, and development guidelines.
Executes Python code locally with high-performance API access to achieve up to 99% token savings on bulk repository operations.
Generates interactive, color-coded HTML flowcharts and decision trees using SVG for clear process visualization.
Generates professional HTML dashboards featuring KPI cards, SVG charts, and interactive data visualizations for monitoring project metrics.
Transforms high-level feature requests into structured, actionable implementation blueprints with granular task breakdowns.
Standardizes new and existing software projects with professional directory structures, automated workflows, and development best practices.
Systematically processes and implements code review feedback using a structured, task-based workflow.
Systematically diagnoses and repairs failing test suites using smart error grouping and prioritized resolution strategies.
Analyzes Claude Code conversation history to identify usage patterns, recurring errors, and specific workflow optimization opportunities.
Provides research-backed startup advice by accessing Y Combinator’s library of essays, founder interviews, and startup school lectures.
Provisions production-ready Google Kubernetes Engine clusters using optimized templates and Google Cloud best practices.
Automates the multi-step process of adding and configuring Tabler icons within the Arto project's Rust and Vite architecture.
Generates comprehensive unit tests for Spring Boot REST controllers using MockMvc and Mockito to validate API endpoints in isolation.
Configures and optimizes AWS SDK for Java 2.x service clients with industry-standard patterns for authentication, performance, and resource management.
Streamlines graph database development by providing standardized patterns for Spring Data Neo4j entity mapping, Cypher queries, and repository implementation.
Simplifies the integration of large language models into Java applications using declarative interfaces and annotations.
Automates the generation of comprehensive OpenAPI 3.0 specifications and interactive Swagger UI for Spring Boot 3.x applications.
Streamlines Rust application development by integrating standardized error handling, testing, and logging patterns through a modular composition system.
Streamlines the process of adding new AI agent cost and token usage trackers to the Splitrail monitoring system.
Generates comprehensive technical design documents and RFCs by synthesizing codebase research into actionable implementation plans.
Establishes robust frameworks for measuring, testing, and optimizing AI agent performance through multi-dimensional rubrics and LLM-as-judge methodologies.
Transforms external RDF context into formal Belief-Desire-Intention (BDI) mental states for advanced cognitive agent reasoning.
Manages and offloads agent context to the filesystem to overcome context window limits and improve token efficiency.
Optimizes how AI agents interact with external systems through professional tool design principles, consolidation strategies, and MCP standards.
Streamlines web application testing with comprehensive E2E strategies, Playwright automation, and systematic deep audit workflows.
Design and scale remote, sandboxed execution environments for autonomous and collaborative background agents.
Provides architectural principles and best practices for building robust Model Context Protocol (MCP) servers.
Conducts rigorous, adversarial code reviews across multiple languages to identify security vulnerabilities, performance bottlenecks, and poor coding patterns.
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