api development向けのClaudeスキルを発見してください。83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。
Designs durable, distributed workflows using Temporal to manage long-running processes and complex microservice orchestration.
Implements robust asynchronous programming patterns in Python using best practices for concurrency and error handling.
Architects scalable and intuitive REST and GraphQL interfaces using industry-standard design patterns and best practices.
Implements Command Query Responsibility Segregation to build scalable, high-performance backend architectures with separate read and write models.
Streamlines Bun runtime development with optimized patterns for native APIs, SQLite integration, testing, and high-performance server configurations.
Implements advanced asynchronous programming patterns in Python using safe gather, timeouts, and robust cancellation handling.
Provides comprehensive guidance for building, debugging, and optimizing production-ready Ruby on Rails 8.1 applications.
Implements distributed systems architectures using service boundaries, event-driven messaging, and high-resilience design patterns.
Builds high-performance Model Context Protocol (MCP) servers to integrate LLMs with external APIs and services.
Downloads and validates OpenAPI or Swagger specification files from remote URLs to streamline API-driven development workflows.
Develops high-performance, memory-safe enterprise applications using the Rust 1.91 programming language and Tokio async ecosystem.
Orchestrates .NET backend subagents using a standardized framework for TDD, self-review, and architectural consistency.
Guides the development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.
Builds production-ready Model Context Protocol (MCP) servers from OpenAPI contracts with automated scaffolding and validation.
Manages IoT devices and data streams on the Hubble Network platform using standardized API patterns and best practices.
Generates complete, production-ready full-stack projects using multi-agent orchestration and strict TDD quality gates.
Streamlines the creation, configuration, and optimization of Model Context Protocol (MCP) servers for Claude Code.
Provides comprehensive guidance and implementation patterns for writing safe, efficient, and idiomatic Rust code.
Explores KrakenD gateway capabilities, verifies edition compatibility, and provides ready-to-use configuration templates.
Implements scalable, production-ready Node.js backend architectures using Express, Fastify, and industry-standard design patterns.
Orchestrates an end-to-end autonomous pipeline to build production-grade .NET 9 and React 19 applications from a single prompt.
Design and implement high-quality REST and GraphQL APIs using industry-standard patterns and best practices.
Validates KrakenD gateway configurations for syntax errors, edition compatibility, and architectural anti-patterns.
Scaffolds production-ready FastAPI applications with async patterns, dependency injection, and clean architectural layers.
Provides a comprehensive framework and guided workflow for developing high-quality Model Context Protocol (MCP) servers to connect LLMs with external services.
Optimizes tool-agent interfaces through consolidation principles and descriptive engineering for reliable AI interactions.
Architects standardized REST and GraphQL interfaces using industry-best practices for scalability, maintainability, and developer experience.
Generates production-ready FastAPI backend architectures with async patterns, dependency injection, and scalable repository structures.
Generates a complete greenfield project structure using .NET 9, React 19, and Tailwind CSS v4.
Enforces idiomatic Rust coding standards and best practices for high-quality, professional API development.
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