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 production-ready FastAPI backends using Supabase for authentication and SQLModel for type-safe database access.
Builds high-quality Model Context Protocol (MCP) servers to enable seamless communication between LLMs and external services.
Standardizes full-stack development by providing architectural blueprints, code patterns, and deployment workflows for Next.js and FastAPI projects.
Provides standardized architectural patterns and server-side best practices for building scalable Node.js and Next.js applications.
Integrates external services, databases, and APIs into Claude Code plugins using the Model Context Protocol.
Builds high-quality Model Context Protocol (MCP) servers to bridge LLMs with external APIs and services using Python or TypeScript.
Optimizes crypto liquidity by routing trades across multiple US-regulated exchanges via the CCXT unified library.
Automates the entire Java development lifecycle by orchestrating feature implementation, build fixes, unit testing, and standards verification.
Creates standards-compliant Java components using modern design patterns and architectural best practices.
Implements standardized API architectures, database operations, and caching strategies for robust backend services.
Captures and logs incoming HTTP request payloads during debugging sessions to streamline API development and troubleshooting.
Implements scalable C++ server-side architectures using CMake, vcpkg, and industry-standard design patterns.
Provides a comprehensive architectural framework and coding standards for building production-grade AI applications using Next.js, FastAPI, and Supabase.
Builds high-quality Model Context Protocol (MCP) servers to enable seamless interaction between LLMs and external services.
Implements production-grade asynchronous Rust patterns using the Tokio runtime for high-performance concurrent applications.
Automates the integration of OpenAPI specifications into React applications using Apidog MCP for type-safe frontend development.
Streamlines the process of adding context-rich resources like database schemas and documentation to Model Context Protocol (MCP) servers.
Guides the creation of high-performance Model Context Protocol (MCP) tools using intent-based "true task" design principles.
Validates Model Context Protocol (MCP) server implementations against industry best practices to ensure high-quality tool performance and security.
Automates the end-to-end creation of native ChatGPT Apps using the Model Context Protocol (MCP) and interactive UI widgets.
Scaffolds production-ready Model Context Protocol (MCP) servers using multiple architecture patterns and transport protocols.
Scaffolds full-stack Model Context Protocol (MCP) applications featuring interactive React-based visual UIs and Tailwind CSS styling.
Streamlines the creation, schema design, and registration of Model Context Protocol (MCP) tools for ChatGPT applications.
Automates development for the zgrok tunnel service by enforcing Rust best practices and strict project-specific conventions.
Standardizes RESTful API design by generating comprehensive OpenAPI/Swagger documentation, schemas, and endpoint definitions.
Generates type-safe TypeScript API client functions and interfaces directly from Swagger, OpenAPI, or Swagger UI specifications.
Provides comprehensive guidance for designing, versioning, and maintaining robust REST and GraphQL APIs throughout their entire lifecycle.
Architects robust RESTful APIs using standardized URL structures, status codes, and professional data patterns.
Generates comprehensive API documentation, OpenAPI definitions, and GraphQL schemas through an interactive requirements-gathering dialogue.
Streamlines backend development with production-ready Kotlin and Spring Boot 3.x architectural patterns.
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