按技能名称、说明或 GitHub 作者匹配的结果。
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implement...
Expert backend development guidance covering Node.js, Python, Java, Go, API design (REST/GraphQL/gRPC), database patterns, authentication, caching, message queues, microservices, and testing. Produces productio...
FastAPI best practices, Pydantic models, SQLAlchemy ORM, async patterns, dependency injection, and JWT authentication. Activate for FastAPI apps, async Python APIs, API design, and modern Python web services.
Flask API development including blueprints, extensions, and REST patterns. Activate for Flask apps, Python web APIs, and lightweight API development.
FastAPI development including async endpoints, Pydantic models, dependency injection, and OpenAPI documentation. Activate for FastAPI apps, async Python APIs, and modern Python web services.
Expert guidance for building full-stack applications with Next.js frontend and FastAPI backend. Use when integrating React/Next.js with Python FastAPI, building API routes, or implementing SSR/SSG with Python b...
Refactor FastAPI/Python code to improve maintainability, readability, and adherence to best practices. This skill transforms working code into exemplary code following FastAPI patterns, Pydantic v2, and SOLID p...
Data validation and settings management using Python type annotations with Pydantic v2
A next-generation HTTP client for Python with both sync and async support, perfect for modern Python applications
Data validation and settings management using Python type annotations with Pydantic v2
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
Use when building FastAPI apps with async database operations, complex dependency injection, partial update endpoints, async testing, or converting Python utilities to API endpoints
Expert-level FastAPI development for high-performance Python APIs with async support
Complete FastAPI API development framework for Python. Provides comprehensive assistance for building APIs with routing, authentication (JWT, OAuth2, Better Auth), Pydantic models, database integration, and dep...
Enforces type safety in TypeScript/Python implementations. Any/any types strictly prohibited. Use when processing API responses, integrating external libraries, or implementing data validation. Supports strict...
Python type annotations and Pydantic best practices. Use when working with types, models, or data structures. Triggers on "type", "types", "typing", "Pydantic", "BaseModel", "dict", "list", "tuple", "annotation...
FastAPI modern Python web framework. Use for building high-performance APIs, async endpoints, dependency injection, Pydantic validation, OpenAPI documentation, OAuth2 security, WebSockets, and Python backend de...
Generate clean, production-ready FastAPI backends with RESTful API design, Pydantic models, SQLAlchemy database integration, and authentication-ready structure. Use when building new FastAPI projects, creating...
WHEN: FastAPI project review, Pydantic models, async endpoints, dependency injection WHAT: Pydantic validation + Dependency injection + Async patterns + OpenAPI docs + Security WHEN NOT: Django → django-reviewe...
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Better Auth JWT verification for Python/FastAPI backends. Use when integrating Python APIs with a Better Auth TypeScript server via JWT tokens. Covers JWKS verification, FastAPI dependencies, SQLModel/SQLAlchem...
FastAPI patterns for building high-performance Python APIs. Covers routing, dependency injection, Pydantic models, background tasks, WebSockets, testing, and production deployment.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。