发现api development类别的 Claude 技能。浏览 83 个技能,找到适合您 AI 工作流程的完美功能。
Builds high-performance Model Context Protocol (MCP) servers to integrate LLMs with external APIs and services.
Implements distributed systems architectures using service boundaries, event-driven messaging, and high-resilience design patterns.
Implements advanced asynchronous programming patterns in Python using safe gather, timeouts, and robust cancellation handling.
Implements Command Query Responsibility Segregation to build scalable, high-performance backend architectures with separate read and write models.
Architects scalable and intuitive REST and GraphQL interfaces using industry-standard design patterns and best practices.
Implements robust asynchronous programming patterns in Python using best practices for concurrency and error handling.
Designs durable, distributed workflows using Temporal to manage long-running processes and complex microservice orchestration.
Generates type-safe TypeScript interfaces and enums directly from OpenAPI or Swagger specifications.
Enforces strict type annotations and Pydantic best practices for robust, error-free Python development.
Implements production-grade WebSocket patterns for Python applications using FastAPI and Starlette with robust connection management and message protocols.
Generates production-ready FastAPI CRUD modules using a clean architecture featuring the repository pattern and single-session-per-request flow.
Architects maintainable, high-performance TypeScript applications using Bun, Zod, and a strict modular file structure.
Guides the creation of high-quality Model Context Protocol (MCP) servers to extend LLM capabilities with external tools and services.
Validates OpenAPI and AsyncAPI specifications against enterprise standards and Zalando RESTful API guidelines.
Generates and deploys custom Model Context Protocol (MCP) servers to connect Claude with any external API or local service.
Enforces best practices for creating AI agent tools using Pydantic validation, robust error handling, and structured responses.
Standardizes API error handling by automatically generating structured JSON responses with tracing IDs and timestamps.
Implements and maintains standardized CRUD entities following a robust layered architecture pattern for full-stack applications.
Implements Domain-Driven Design and modular bounded contexts to transform monolithic codebases into scalable, testable microkernel architectures.
Enforces a production-ready, function-first layered architecture for Express and TypeScript applications.
Optimizes Model Context Protocol (MCP) server performance through advanced connection pooling, load balancing, and high-speed tool registry management.
Generates production-ready Express, TypeScript, PostgreSQL, and Redis backend services using a function-first, layered architecture.
Implements standardized error hierarchies, consistent API responses, and resilient recovery patterns across software applications.
Implements type-safe IPC communication in Electron applications using Hono RPC to provide HTTP-like semantics for cross-process communication.
Streamlines the development of Model Context Protocol (MCP) servers with standardized patterns for TypeScript and Python integrations.
Designs and reviews RESTful and GraphQL APIs using industry-standard patterns for scalability, maintainability, and developer experience.
Enforces modern C# 12 and .NET 8 best practices for consistent, high-quality backend development.
Reviews and optimizes Go REST APIs built with Gin, Echo, Fiber, and Chi for better structure, security, and performance.
Simplifies the creation and integration of Model Context Protocol (MCP) servers to extend AI model capabilities with custom tools and data sources.
Integrates LlamaFarm's REST API into your applications for programmatic project management, RAG-enabled chat, and dataset control.
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