发现api development类别的 Claude 技能。浏览 80 个技能,找到适合您 AI 工作流程的完美功能。
Implements AI agent systems using a prompt-native philosophy where behavior is defined through natural language outcomes rather than rigid code workflows.
Implements Zod v4 patterns and best practices for robust TypeScript schema validation and metadata management.
Implements type-safe API communication and data fetching patterns using tRPC and TanStack Query.
Facilitates expert-level research and auditing for Model Context Protocol (MCP) implementations to ensure protocol compliance and security.
Researches and validates Google Calendar API implementations to handle complex recurring events, timezones, and batch operations.
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.
Standardizes Rust project structure using private modules with public re-exports for clean, maintainable APIs.
Develops high-performance Go 1.23+ backend systems, microservices, and CLI tools using modern frameworks like Fiber and Gin.
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.
Implements production-ready TanStack Query v5 patterns for robust asynchronous state management in React applications.
Analyzes OpenAPI specifications to generate TypeScript interfaces and frontend implementation patterns for seamless API integration.
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.
Implements production-grade REST APIs and backend services using Kotlin and Spring Boot with a focus on robust testing and error handling.
Builds robust, production-ready backend services and REST APIs using Kotlin, Spring Boot, and industry-standard testing patterns.
Builds production-ready Python APIs using FastAPI, Pydantic v2, and asynchronous SQLAlchemy 2.0.
Builds sophisticated AI applications using the OpenAI Agents SDK with support for multi-agent workflows, realtime voice, and structured outputs.
Builds high-performance, type-safe APIs and middleware chains using the Hono framework across Cloudflare Workers, Bun, and Node.js.
Generates typed TypeScript SDKs that transform verbose MCP JSON-RPC commands into clean, type-safe function calls for AI agents.
Streamlines integration with the Claude Messages API by providing patterns for structured JSON outputs, prompt caching, and advanced error handling.
Integrates OpenAI's full suite of APIs including GPT-5 reasoning, DALL-E 3 image generation, and Whisper audio processing into your development workflow.
Builds high-performance Model Context Protocol (MCP) servers in Python to expose tools, resources, and prompts to LLMs.
Builds stateful, agentic AI applications using OpenAI's Responses API to preserve reasoning and optimize cache utilization.
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