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。
Standardizes development patterns for the Outfitter ecosystem using type-safe handlers, explicit error handling, and modular packages.
Implements a rigorous debugging workflow to identify root causes, classify errors, and ensure permanent fixes through regression testing and documentation.
Troubleshoots and resolves platform-specific issues, performance bottlenecks, and connectivity problems across iOS and Android applications.
Implements systematic evaluation patterns and metrics to measure LLM performance, validate prompt quality, and detect hallucinations.
Enforces high-quality, minimal code production by prioritizing functional understanding and strict adherence to existing project patterns.
Provides expert guidance on implementing integrated runtime and type-level testing for robust TypeScript applications.
Implements best practices for Hugging Face Transformers including model loading, fine-tuning, and inference optimization.
Transforms complex technical content into clear, accessible, and highly readable text using established plain language principles.
Implements and configures service meshes like Istio or Linkerd to manage microservice traffic, security, and observability.
Generates standardized benchmark test cases for the CAC evaluation system across code, math, logic, and comprehensive categories.
Facilitates structured team retrospectives to capture lessons learned, celebrate successes, and drive continuous process improvements.
Maps and monitors project dependencies to identify critical path items and prevent development bottlenecks.
Structures Claude's output using a hierarchical, answer-first approach to ensure maximum clarity and logical flow.
Implements production-ready Retrieval-Augmented Generation (RAG) systems with optimized vector storage, chunking, and retrieval patterns.
Performs systematic data profiling and visualization to uncover patterns and assess data quality before modeling.
Optimizes database performance through advanced query rewriting, index design strategies, and EXPLAIN plan analysis.
Designs optimized database schemas and data models using normalization, denormalization, and advanced relationship patterns.
Implements production-grade resilience strategies like circuit breakers, exponential backoffs, and saga patterns to handle system failures gracefully.
Implements comprehensive testing strategies for iOS, Android, and React Native applications including unit, UI, and performance tests.
Implements full-stack CRUD operations by orchestrating database migrations, domain modeling, and API endpoint generation.
Build and evaluate robust binary and multiclass classification models using industry-standard machine learning algorithms and metrics.
Transforms unstructured instructions into semantic XML structures to optimize LLM attention and retrieval accuracy.
Designs intuitive, industry-standard RESTful APIs using best practices for resource modeling, HTTP status codes, and documentation.
Analyzes, quantifies, and prioritizes codebase technical debt to inform data-driven refactoring and architectural decisions.
Builds scalable, real-time bidirectional communication systems using WebSockets for chat, notifications, and collaborative tools.
Optimizes AI workflows by dispatching multiple independent agents to resolve unrelated bugs or test failures concurrently.
Designs robust Ruby on Rails models using industry-standard ActiveRecord patterns and data integrity best practices.
Deploys and manages scalable web applications, REST APIs, and containerized services on the Azure App Service platform.
Protects Ruby on Rails applications from critical vulnerabilities like XSS, SQL injection, and CSRF using industry-standard security patterns.
Standardizes software testing strategies and naming conventions using industry-recognized frameworks like ISTQB and the Testing Pyramid.
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