api development向けのClaudeスキルを発見してください。73個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Migrates codebases and prompts from previous Claude models to Opus 4.5 by updating model strings and refining system instructions for optimal performance.
Implements high-performance concurrent systems in Rust using the Tokio runtime and industry-standard async design patterns.
Implements robust Go concurrency patterns using goroutines, channels, and synchronization primitives for high-performance systems programming.
Generates and maintains comprehensive OpenAPI 3.1 specifications to ensure API contract compliance and high-quality documentation.
Generates production-ready FastAPI project structures with async patterns, dependency injection, and comprehensive error handling.
Implements high-performance, non-blocking Python systems through master-level asyncio patterns and concurrent programming techniques.
Manages distributed transactions and long-running business workflows using saga patterns to ensure data consistency across multiple services.
Implements proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable and scalable systems.
Provides comprehensive guidance and implementation patterns for building scalable, maintainable, and developer-friendly REST and GraphQL APIs.
Designs robust distributed systems using industry-standard microservices architectures, service boundaries, and resilience patterns.
Implements production-ready Node.js backend architectures using Express or Fastify with best practices for middleware, authentication, and error handling.
Provides structured guidance and best practices for building high-quality Model Context Protocol (MCP) servers in TypeScript and Python to extend LLM capabilities.
Builds high-performance Model Context Protocol (MCP) servers to integrate external APIs and services with Claude.
Generates minimal, production-ready Ruby gems using the battle-tested architectural patterns of Searchkick creator Andrew Kane.
Implements AI agent systems using a prompt-native philosophy where behavior is defined through natural language outcomes rather than rigid code workflows.
Implements standardized error handling and production-ready API responses using consistent HTTP status codes and validation schemas.
Implements sophisticated rate limiting strategies and production-ready API features to protect backend services from excessive requests and abuse.
Generates production-ready mock API servers with realistic data, comprehensive documentation, and integrated testing suites.
Executes comprehensive load and stress testing to validate API performance and ensure architectural scalability.
Ensures synchronization between API specifications and code implementations while detecting breaking changes and generating type-safe clients.
Builds scalable backend systems with automated API scaffolding, database optimization, and robust security implementations across multiple modern tech stacks.
Integrates Model Context Protocol (MCP) servers into Claude Code plugins to connect AI workflows with external tools and services.
Integrates external tools and services into Claude Code plugins using the Model Context Protocol (MCP).
Designs and implements RESTful API endpoints following industry best practices for HTTP methods, status codes, and resource-based URLs.
Analyzes OpenAPI specifications to generate TypeScript interfaces and frontend implementation patterns for seamless API integration.
Implements production-ready TanStack Query v5 patterns for robust asynchronous state management in React applications.
Automates the synchronization of OpenAPI specifications with React frontends using Apidog MCP for type-safe API client generation.
Integrates TanStack Router with TanStack Query to eliminate data waterfalls and optimize single-page application navigation performance.
Builds robust, production-ready backend services and REST APIs using Kotlin, Spring Boot, and industry-standard testing patterns.
Implements production-grade REST APIs and backend services using Kotlin and Spring Boot with a focus on robust testing and error handling.
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