building-websocket-server
关于
This skill helps developers build scalable WebSocket servers for real-time bidirectional communication. It provides tools and guidance for designing API structures, implementing endpoints, and integrating with backend services. Use it when you need to add real-time functionality like live updates or chat features to your application.
快速安装
Claude Code
推荐/plugin add https://github.com/jeremylongshore/claude-code-plugins-plusgit clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/building-websocket-server在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Prerequisites
Before using this skill, ensure you have:
- API design specifications or requirements documented
- Development environment with necessary frameworks installed
- Database or backend services accessible for integration
- Authentication and authorization strategies defined
- Testing tools and environments configured
Instructions
Step 1: Design API Structure
Plan the API architecture and endpoints:
- Use Read tool to examine existing API specifications from {baseDir}/api-specs/
- Define resource models, endpoints, and HTTP methods
- Document request/response schemas and data types
- Identify authentication and authorization requirements
- Plan error handling and validation strategies
Step 2: Implement API Components
Build the API implementation:
- Generate boilerplate code using Bash(api:websocket-*) with framework scaffolding
- Implement endpoint handlers with business logic
- Add input validation and schema enforcement
- Integrate authentication and authorization middleware
- Configure database connections and ORM models
Step 3: Add API Features
Enhance with production-ready capabilities:
- Implement rate limiting and throttling policies
- Add request/response logging with correlation IDs
- Configure error handling with standardized responses
- Set up health check and monitoring endpoints
- Enable CORS and security headers
Step 4: Test and Document
Validate API functionality:
- Write integration tests covering all endpoints
- Generate OpenAPI/Swagger documentation automatically
- Create usage examples and authentication guides
- Test with various HTTP clients (curl, Postman, REST Client)
- Perform load testing to validate performance targets
Output
The skill generates production-ready API artifacts:
API Implementation
Generated code structure:
{baseDir}/src/routes/- Endpoint route definitions{baseDir}/src/controllers/- Business logic handlers{baseDir}/src/models/- Data models and schemas{baseDir}/src/middleware/- Authentication, validation, logging{baseDir}/src/config/- Configuration and environment variables
API Documentation
Comprehensive API docs including:
- OpenAPI 3.0 specification with complete endpoint definitions
- Authentication and authorization flow diagrams
- Request/response examples for all endpoints
- Error code reference with troubleshooting guidance
- SDK generation instructions for multiple languages
Testing Artifacts
Complete test suite:
- Unit tests for individual controller functions
- Integration tests for end-to-end API workflows
- Load test scripts for performance validation
- Mock data generators for realistic testing
- Postman/Insomnia collection for manual testing
Configuration Files
Production-ready configs:
- Environment variable templates (.env.example)
- Database migration scripts
- Docker Compose for local development
- CI/CD pipeline configuration
- Monitoring and alerting setup
Error Handling
Common issues and solutions:
Schema Validation Failures
- Error: Request body does not match expected schema
- Solution: Add detailed validation error messages; provide schema documentation; implement request sanitization
Authentication Errors
- Error: Invalid or expired authentication tokens
- Solution: Implement proper token refresh flows; add clear error messages indicating auth failure reason; document token lifecycle
Rate Limit Exceeded
- Error: API consumer exceeded allowed request rate
- Solution: Return 429 status with Retry-After header; implement exponential backoff guidance; provide rate limit info in response headers
Database Connection Issues
- Error: Cannot connect to database or query timeout
- Solution: Implement connection pooling; add health checks; configure proper timeouts; implement circuit breaker pattern for resilience
Resources
API Development Frameworks
- Express.js and Fastify for Node.js APIs
- Flask and FastAPI for Python APIs
- Spring Boot for Java APIs
- Gin and Echo for Go APIs
API Standards and Best Practices
- OpenAPI Specification 3.0+ for API documentation
- JSON:API specification for RESTful API conventions
- OAuth 2.0 and OpenID Connect for authentication
- HTTP/2 and HTTP/3 for performance optimization
Testing and Monitoring Tools
- Postman and Insomnia for API testing
- Swagger UI for interactive API documentation
- Artillery and k6 for load testing
- Prometheus and Grafana for monitoring
Security Best Practices
- OWASP API Security Top 10 guidelines
- JWT best practices for token-based auth
- Rate limiting strategies to prevent abuse
- Input validation and sanitization techniques
GitHub 仓库
相关推荐技能
content-collections
元Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。
creating-opencode-plugins
元该Skill为开发者创建OpenCode插件提供指导,涵盖命令、文件、LSP等25+种事件类型。它详细说明了插件结构、事件API规范及JavaScript/TypeScript实现模式,帮助开发者构建事件驱动的模块。适用于需要拦截操作、扩展功能或自定义AI助手行为的插件开发场景。
evaluating-llms-harness
测试该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。
langchain
元LangChain是一个用于构建LLM应用程序的框架,支持智能体、链和RAG应用开发。它提供多模型提供商支持、500+工具集成、记忆管理和向量检索等核心功能。开发者可用它快速构建聊天机器人、问答系统和自主代理,适用于从原型验证到生产部署的全流程。
