python-expert
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
按技能名称、说明或 GitHub 作者匹配的结果。
Python backend expert. PROACTIVELY use when working with Django, FastAPI, Flask, Python APIs. Triggers: python, django, fastapi, flask, async python
Builds high-performance FastAPI applications with async/await, Pydantic v2, dependency injection, and SQLAlchemy. Use when creating Python REST APIs, async backends, or microservices.
FastAPI web framework for building modern APIs with async support
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.
Create SQLAlchemy base model with UUID, timestamp, and soft delete mixins for FastAPI
Overview and guidelines for FastAPI 3-layer architecture with async SQLAlchemy, Pydantic v2, and best practices
Configure async SQLAlchemy 2.0 engine, session factory, and database dependency for FastAPI
Create FastAPI application factory with lifespan, middleware, pagination, and router configuration
Create FastAPI application factory with lifespan, middleware, pagination, and router configuration
Create SQLAlchemy base model with UUID, timestamp, and soft delete mixins for FastAPI
Create custom exceptions, error response schemas, and centralized exception handlers for FastAPI
Create custom exceptions, error response schemas, and centralized exception handlers for FastAPI
Configure async SQLAlchemy 2.0 engine, session factory, and database dependency for FastAPI
Overview and guidelines for FastAPI 3-layer architecture with async SQLAlchemy, Pydantic v2, and best practices
Create a new entity with model, schemas, repository, service, router, dependencies, and filters
Create Pydantic v2 base schemas for request validation and response serialization in FastAPI
Configure structured JSON logging with correlation IDs and request context for FastAPI
Create a new entity with model, schemas, repository, service, router, dependencies, and filters
Create Pydantic v2 base schemas for request validation and response serialization in FastAPI
Configure structured JSON logging with correlation IDs and request context for FastAPI
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.
This skill should be used when the user asks to "add WebSocket", "implement real-time", "create file upload", "add S3 upload", "send email", "implement notifications", "broadcast events", or mentions WebSockets...
This skill should be used when the user asks to "add Keycloak authentication", "implement OIDC", "configure SSO", "validate JWT token", "add role-based access", "protect API endpoint", or mentions Keycloak, OAu...
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。