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Found 201 Skills
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Build Python APIs with FastAPI, Pydantic v2, and SQLAlchemy 2.0 async. Covers project structure, JWT auth, validation, and database integration with uv package manager. Prevents 7 documented errors. Use when: creating Python APIs, implementing JWT auth, or troubleshooting 422 validation, CORS, async blocking, form data, background tasks, or OpenAPI schema errors.
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.
Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke for async SQLAlchemy, JWT authentication, WebSockets, OpenAPI documentation.
Expert in FastAPI Python development with best practices for APIs and async operations
Expert in FastAPI microservices for serverless and cloud-native environments
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
FastAPI with PostgreSQL, async SQLAlchemy 2.0, Alembic, and Docker.
REST API and WebSocket development with FastAPI emphasizing security, performance, and async patterns
FastAPI Best Architecture (fba) 项目开发指南。提供完整的架构规范、编码风格、插件开发指导 使用场景： - 在 fba 项目中开发新功能或模块 - 创建或修改插件（应用级/扩展级） - 编写 API、Service、CRUD、Model、Schema - 数据库迁移和模型设计 - JWT 认证和 RBAC 权限配置 - 代码审查和风格检查
Use when FastAPI validation with Pydantic models. Use when building type-safe APIs with robust request/response validation.
FastAPI production-grade best practices and guidelines for building scalable, high-performance web APIs. Covers project structure, async concurrency, Pydantic validation, dependency injection, and database patterns.