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。
Streamlines the process of adding new AI agent cost and token usage trackers to the Splitrail monitoring system.
Streamlines Rust application development by integrating standardized error handling, testing, and logging patterns through a modular composition system.
Generates comprehensive unit tests for Spring Boot REST controllers using MockMvc and Mockito to validate API endpoints in isolation.
Simplifies the integration of large language models into Java applications using declarative interfaces and annotations.
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 generation of comprehensive OpenAPI 3.0 specifications and interactive Swagger UI for Spring Boot 3.x applications.
Streamlines graph database development by providing standardized patterns for Spring Data Neo4j entity mapping, Cypher queries, and repository implementation.
Configures and optimizes AWS SDK for Java 2.x service clients with industry-standard patterns for authentication, performance, and resource management.
Streamlines web application testing with comprehensive E2E strategies, Playwright automation, and systematic deep audit workflows.
Optimizes development workflows by enabling naming, checkpointing, and resuming of persistent Claude Code sessions.
Automates the creation of detailed GitHub issues for local integration test failures by analyzing logs and agent metadata.
Optimizes how AI agents interact with external systems through professional tool design principles, consolidation strategies, and MCP standards.
Establishes robust frameworks for measuring, testing, and optimizing AI agent performance through multi-dimensional rubrics and LLM-as-judge methodologies.
Provides architectural principles and best practices for building robust Model Context Protocol (MCP) servers.
Manages and offloads agent context to the filesystem to overcome context window limits and improve token efficiency.
Design and scale remote, sandboxed execution environments for autonomous and collaborative background agents.
Transforms external RDF context into formal Belief-Desire-Intention (BDI) mental states for advanced cognitive agent reasoning.
Generates comprehensive architectural documentation and Mermaid diagrams by researching and mapping existing codebases.
Conducts rigorous, adversarial code reviews across multiple languages to identify security vulnerabilities, performance bottlenecks, and poor coding patterns.
Automates GitHub issue resolution using parallel subagents and systematic quality gates to streamline complex development tasks.
Monitors execution workflows for errors and inefficiencies to automatically generate actionable GitHub issues for improvements.
Optimizes tool-heavy workflows and data pipelines into efficient MCP execution patterns to maximize token savings.
Validates Claude Code skills using a TDD-style methodology and fresh subagent instances to eliminate priming bias.
Installs and manages pre-configured safety and quality guardrails for Claude Code development workflows.
Identifies and eliminates codebase bloat through progressive analysis to reduce technical debt and optimize AI context usage.
Automates the generation of high-quality technical tutorials featuring terminal and browser GIF recordings.
Streamlines product roadmapping by inventorying features and applying evidence-based prioritization frameworks like RICE, WSJF, and Kano scoring.
Transforms ephemeral Pull Request discussions into persistent, searchable institutional memory within project memory palaces.
Automates high-quality browser session recordings and GIF conversions for web tutorials and documentation.
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