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。
Implements idiomatic Go error handling patterns including wrapping, custom types, and inspection to ensure robust and maintainable backend code.
Enforces modern C# standards and opinionated best practices for clean, high-performance .NET backend development.
Integrates the Model Context Protocol (MCP) into Ruby on Rails applications to build, connect, and manage AI agent tools.
Optimizes Go applications with safe, leak-free concurrency patterns using goroutines, channels, and context propagation.
Implements standardized GraphQL mutations featuring robust payload patterns, input objects, and field-level error handling.
Generates production-ready boilerplate for REST APIs, frontend components, and database models using industry best practices.
Implements robust multi-tenant user administration and permission controls for Ruby on Rails applications.
Enforces high-quality Java development standards including null safety, Lombok patterns, and modern language features for CUI OSS projects.
Implements production-ready decentralized finance protocols for staking, automated market makers, and governance systems.
Builds production-ready Node.js backend services with modern architectural patterns, error handling, and security best practices.
Implements high-performance concurrent programming in Python using advanced asyncio patterns and non-blocking I/O techniques.
Implements resilient error handling strategies across multiple programming languages to improve application reliability and debugging.
Architects scalable distributed systems using proven service decomposition, event-driven communication, and resilience patterns.
Implements robust architectural patterns like Clean Architecture and Domain-Driven Design to build maintainable and scalable backend systems.
Generates production-ready FastAPI project structures with built-in settings management, dependency injection, and MCP server integration.
Generates stateless Rust WASM crates from Intermediate Representation (IR) files following QWASR SDK architectural patterns.
Secures backend APIs using Clerk JWT middleware and route protection patterns across multiple frameworks.
Configures Drizzle Cube API servers across Express, Fastify, Hono, and Next.js to expose Cube.js-compatible semantic layer endpoints.
Implements advanced Celery canvas patterns for designing complex, distributed task workflows and parallel processing pipelines.
Validates Claude Agent SDK project configurations, environment variables, and dependencies to ensure seamless agent initialization.
Integrates FastMCP Cloud servers with the Claude Agent SDK using optimized HTTP transport patterns and secure authentication.
Builds high-performance full-stack React applications and scales monorepo architectures using Next.js, Turborepo, and RemixIcon.
Streamlines the integration of OpenRouter with major AI frameworks through automated setup scripts and production-ready code templates.
Provides production-ready Celery templates for robust background task processing with built-in error handling, rate limiting, and validation.
Validates, diagnoses, and fixes Vercel AI SDK provider configurations to resolve authentication, environment, and model compatibility issues.
Implements robust Redis-based rate limiting algorithms to protect APIs from abuse and manage request quotas efficiently.
Implements scalable, production-ready Node.js backend architectures using Express, Fastify, and industry-standard design patterns.
Simplifies the integration of Model Context Protocol (MCP) servers into Claude Code plugins to enable seamless external service and API connectivity.
Integrates external services and APIs into Claude Code plugins using the Model Context Protocol for enhanced tool access.
Provides a comprehensive framework for developing high-performance Model Context Protocol (MCP) servers in Python and TypeScript.
Scroll for more results...