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 production-ready DeFi protocols including staking, AMMs, governance systems, and flash loans using optimized Solidity templates.
Optimizes Python applications with production-ready asyncio patterns for high-performance concurrent programming and non-blocking I/O operations.
Builds type-safe Nuxt 3 applications using standardized Nitro API patterns, server-side validation, and advanced fetch implementations.
Streamlines backend development with Kotlin and Spring Boot by providing standardized API patterns, database integration, and robust testing strategies.
Builds scalable, production-ready Node.js backend services using modern architectural patterns and best practices.
Implements robust error handling strategies and resilience patterns across multiple programming languages to build fault-tolerant applications.
Implements production-ready architectural patterns for building scalable Express and Fastify backend services with TypeScript.
Enforces professional API standards for REST, GraphQL, and gRPC using contract-first design principles.
Standardizes FastAPI development by enforcing best practices for endpoint structure, dependency injection, and error handling.
Implements Anthropic’s strict tool mode to ensure guaranteed schema compliance and type-safe execution for multi-step agentic workflows.
Standardizes the creation of robust Python data models using Pydantic best practices for validation and serialization.
Automates the generation of production-ready Model Context Protocol (MCP) servers to connect AI applications with custom data sources and tools.
Ensures proper Python async/await pattern usage and prevents event loop runtime errors by enforcing non-blocking code standards.
Generates enterprise-compliant OpenAPI and AsyncAPI specifications using standardized templates and best practices.
Streamlines the installation, configuration, and implementation of Agent-to-Agent Protocol SDKs across multiple programming languages.
Configures robust Agent-to-Agent (A2A) servers and MCP transports across multiple communication protocols and frameworks.
Implements Agent-to-Agent (A2A) protocol patterns for Google ADK to enable seamless multi-agent discovery, communication, and orchestration.
Integrates TanStack Router with TanStack Query to optimize SPA performance through route prefetching and waterfall elimination.
Integrates ImageMagick into Go applications for secure image processing and high-performance document rendering.
Implements idiomatic HTTP API patterns in Go, including structured error handling, middleware, and functional options.
Standardizes the organization of Output SDK project files to ensure consistent workflow architecture and tooling support.
Resolves non-determinism errors and replay failures in Output SDK workflows to ensure reliable execution.
Guides developers through building, optimizing, and evaluating high-quality Model Context Protocol (MCP) servers for LLM tool integration.
Implements industry-standard backend design patterns like Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to ensure system maintainability.
Implements robust REST and GraphQL architectures with industry-standard design patterns and best practices.
Architects resilient distributed systems using service decomposition, event-driven communication, and data management patterns.
Implements scalable, production-ready Node.js backend architectures using Express, Fastify, and industry-standard design patterns.
Implements robust Redis-based rate limiting algorithms to protect APIs from abuse and manage request quotas efficiently.
Validates, diagnoses, and fixes Vercel AI SDK provider configurations to resolve authentication, environment, and model compatibility issues.
Provides production-ready Celery templates for robust background task processing with built-in error handling, rate limiting, and validation.
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