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 asynchronous communication patterns using message brokers and task queues for scalable, event-driven systems.
Architects secure, scalable, and maintainable APIs using REST, GraphQL, and event-driven patterns for robust backend services.
Develops production-ready client libraries with robust retry logic, error handling, and consistent cross-language patterns.
Architects scalable, reliable, and fault-tolerant distributed systems using proven patterns and consistency models.
Implements real-time communication patterns for live updates, collaborative editing, and streaming data across modern web applications.
Implements and optimizes backend API architectures across REST, GraphQL, gRPC, and tRPC protocols.
Implements high-performance, accessible search and filtering systems across React frontends and Python backends.
Streamlines the connection of SaaS applications to third-party services like Stripe, Slack, and OAuth providers using a maintainable, founder-first framework.
Architects and reviews developer-centric TypeScript APIs using industry-standard design principles and ergonomic patterns.
Audits API contracts and service boundaries to ensure clean architecture, prevent layer leakage, and enforce consistent DTO patterns.
Integrates Model Context Protocol (MCP) servers into Claude Code plugins to expose external services and tools through a structured interface.
Standardizes REST and GraphQL API architecture through best practices in resource modeling, schema design, and developer experience.
Master REST and GraphQL API architecture to build scalable, maintainable, and developer-friendly backend services.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and robust error handling.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and comprehensive error handling.
Generates type-safe TypeScript SDKs from MCP server definitions to streamline AI agent interactions with web applications.
Generates production-ready FastAPI project structures with advanced async patterns, dependency injection, and comprehensive security.
Implements production-grade REST APIs and backend services using Kotlin and Spring Boot with a focus on robust testing and error handling.
Builds robust, production-ready backend services and REST APIs using Kotlin, Spring Boot, and industry-standard testing patterns.
Implements distributed transaction management in Spring Boot microservices using the Saga pattern to ensure eventual consistency across decoupled services.
Builds production-ready Model Context Protocol (MCP) servers using Spring AI to expose custom tools, resources, and prompt templates to AI models.
Implements and optimizes application-level caching using the Spring Cache abstraction to boost service performance and reduce latency.
Implements feature-aligned CRUD services for Spring Boot 3 using domain-driven design principles and Spring Data JPA.
Implements robust, constructor-first dependency injection patterns for Spring Boot applications to ensure testability and cleaner code architecture.
Implements robust tool and function calling patterns for AI agents using the LangChain4j framework in Java.
Implements robust Event-Driven Architecture patterns in Spring Boot applications using domain events, Kafka integration, and transactional outbox patterns.
Implements production-grade RESTful API design patterns and best practices for Spring Boot applications.
Accelerates NestJS application development by implementing standardized architectural patterns and seamless Drizzle ORM database integration.
Implements Model Context Protocol (MCP) servers using LangChain4j to connect AI models with custom tools, resources, and prompt templates.
Automates the generation of comprehensive OpenAPI 3.0 specifications and interactive Swagger UI for Spring Boot 3.x applications.
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