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。
Diagnoses and resolves connection issues, data synchronization failures, and integration errors within the Terra API ecosystem.
Simplifies the process of setting up, managing, and troubleshooting xAI API authentication for Grok models.
Builds and maintains the FastAPI-powered qEEG Council backend for automated EEG analysis workflows and clinical report generation.
Enforces a contract-first development cycle for API changes to ensure consistency across schemas, services, and documentation.
Executes backend implementation using a strict Test-Driven Development (TDD) workflow to ensure robust, production-grade code.
Implements standardized patterns for backend data queries following the Agent OS framework.
Implements production-ready Spring Boot 3+ backend features with clean architecture, security, and automated testing.
Guides the end-to-end development of high-quality Model Context Protocol (MCP) servers for both Python and TypeScript environments.
Guides the creation of robust, scalable, and developer-friendly REST and GraphQL APIs using industry best practices.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and comprehensive CRUD repository architectures.
Builds and audits production-grade web applications using Next.js, Node.js, GraphQL, and cloud-native infrastructure patterns.
Implements robust saga patterns to manage complex, multi-step distributed transactions and cross-service workflows with automated compensation.
Initializes backend development environments by establishing tech stack constraints and standardized project documentation.
Implements Command Query Responsibility Segregation (CQRS) patterns to build highly scalable and performant backend systems.
Implements production-grade .NET backend patterns for building robust APIs, MCP servers, and enterprise applications using Clean Architecture and C# best practices.
Develops scalable, production-ready Node.js backend services using modern architectural patterns and performance-focused frameworks.
Implements robust error handling strategies and resilient design patterns across multiple programming languages to improve application reliability.
Generates micro-level, atomic implementation plans for backend tasks using a strict TDD workflow.
Standardizes Zod 4 validation implementations with consistent schema definitions, type safety, and robust error handling patterns.
Implements type-safe error handling in Java using the Result pattern to replace exception-based control flows.
Provides expert guidance for building idiomatic, performant Ruby applications and Rails frameworks using modern best practices and design patterns.
Enforces object-oriented design principles to ensure code maintainability, scalability, and testability in .NET and mobile projects.
Enforces strict architectural patterns and behavioral guarantees for AI agents to ensure code integrity and maintainability.
Organizes software projects using vertical slice architecture to ensure the directory structure reflects business intent rather than technical frameworks.
Architect robust, scalable GraphQL schemas using industry best practices like Relay pagination and intentional nullability.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and scalable repository architectures.
Optimizes Next.js App Router implementations by guiding the effective use of Server Components, Client boundaries, and data fetching patterns.
Implements efficient, secure, and performant GraphQL resolvers using industry-standard patterns like dataloaders and context propagation.
Implements Command Query Responsibility Segregation patterns to build scalable, high-performance backend architectures.
Integrates OpenAI ChatKit with Ruby on Rails backends using SSE streaming for sophisticated conversational AI interfaces.
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