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 Model Context Protocol (MCP) servers using Spring AI to expose custom tools, resources, and prompt templates to AI models.
Implements Model Context Protocol (MCP) servers using LangChain4j to connect AI models with custom tools, resources, and prompt templates.
Implements and optimizes application-level caching using the Spring Cache abstraction to boost service performance and reduce latency.
Implements distributed transaction management in Spring Boot microservices using the Saga pattern to ensure eventual consistency across decoupled services.
Implements robust, constructor-first dependency injection patterns for Spring Boot applications to ensure testability and cleaner code architecture.
Automates the generation of comprehensive OpenAPI 3.0 specifications and interactive Swagger UI for Spring Boot 3.x applications.
Provides architectural principles and best practices for building robust Model Context Protocol (MCP) servers.
Optimizes how AI agents interact with external systems through professional tool design principles, consolidation strategies, and MCP standards.
Generates production-ready FastAPI backend architectures featuring async patterns, dependency injection, and scalable repository structures.
Guides the development of HL7 FHIR-compliant RESTful servers and clients for healthcare data interoperability.
Generates type-safe TypeScript SDKs from MCP server definitions to streamline AI agent interactions with web applications.
Enforces clean architecture patterns through structured folders and strict dependency rules for maintainable, scalable software development.
Refactors and analyzes code using tactical Domain-Driven Design principles to create expressive, maintainable software architectures.
Generates production-ready FastAPI project structures with async patterns and best practices for high-performance backend services.
Integrates the latest Google Gemini 3 and 2.5 models using the modern @google/genai SDK and fetch-based edge patterns.
Generates fully-typed TypeScript SDKs for AI agents to interact seamlessly with Model Context Protocol (MCP) servers.
Builds and manages stateful AI agents using the OpenAI Assistants API v2 for legacy application maintenance and complex RAG workflows.
Builds and deploys stateless Model Context Protocol (MCP) servers on Cloudflare Workers using TypeScript and Hono.
Builds interactive ChatGPT applications and extensions using Model Context Protocol (MCP) servers on Cloudflare Workers.
Builds robust, production-ready Model Context Protocol (MCP) servers in Python to expose tools and resources to LLMs.
Optimizes React server state management using modern TanStack Query v5 patterns, optimistic updates, and efficient data fetching.
Integrates the full suite of OpenAI stateless APIs including GPT-5 series, reasoning models, and multimodal capabilities.
Streamlines Claude Messages API integration with structured outputs, prompt caching, and robust error handling patterns.
Streamlines development and migration for Next.js 16 applications using App Router, React 19.2, and modern caching directives.
Builds high-performance Python APIs using FastAPI, Pydantic v2, and asynchronous SQLAlchemy 2.0 patterns.
Builds production-ready Python web applications using the application factory pattern, blueprints, and Flask-SQLAlchemy.
Builds high-performance, type-safe APIs and middleware chains for edge runtimes like Cloudflare Workers, Bun, and Deno.
Implements production-ready API patterns for REST, GraphQL, and gRPC with standardized versioning and RFC 9457 error handling.
Implements advanced Model Context Protocol (MCP) patterns for server building, authentication, and security hardening.
Enforces clean architecture, backend layer separation, and project structure standards while preventing over-engineering through context-aware right-sizing.
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