Automate FastAPI API development with JWT authentication and async SQLAlchemy.
npx skills add https://github.com/dankofly/Swing_B2B --skill fastapi-dankofly
Please help me install this Agent Skill. Skill: fastapi Source: https://github.com/dankofly/Swing_B2B/tree/main/.claude/skills/fastapi Command: npx skills add https://github.com/dankofly/Swing_B2B --skill fastapi-dankofly
The FastAPI skill provides production-ready patterns and guidance to build robust Python APIs quickly, reducing boilerplate and engineering risk.
Start the sample app with uvicorn and verify the endpoints using the interactive docs at /docs.
High-intent search queries and answers about installing and using this skill.
Structure your FastAPI project using a clean domain-based layout that separates Pydantic v2 schemas from SQLAlchemy 2 models. This approach enforces dependency injection and implements JWT authentication with async SQLAlchemy for scalable, non-blocking IO endpoints.
Yes, separating Pydantic schemas from SQLAlchemy models is a best practice for FastAPI validation and persistence. This separation of concerns ensures robust data handling, reduces boilerplate, and maintains clean boundaries between API validation and database ORM operations.
Yes, the FastAPI approach fully supports Pydantic v2 validation and SQLAlchemy 2 async integration. It applies production-grade patterns to ensure your API project uses modern, non-blocking IO with proper OpenAPI-compliant documentation and domain-based structure.
The best way to generate OpenAPI-compliant documentation is by applying production-grade FastAPI patterns with Pydantic v2 validation. This automatically produces interactive Swagger docs at the /docs endpoint, ensuring your REST API maintains proper status codes and schema definitions.
Implement FastAPI dependency injection for JWT authentication by structuring endpoints around a domain-based project layout. This pattern automates production-grade security, enforces proper status codes, and integrates seamlessly with async SQLAlchemy database sessions.
MakisuoInstall and configure a local ClickHouse environment with clickhousectl.
DhumitechCreate a production-grade FastAPI foundation with async SQLAlchemy and OpenAPI documentation.
shmlaiqDefine SQLModel models as Pydantic schemas and SQLAlchemy ORM tables.
algusaemAutomates backend scaffolding, database optimization, security, and performance tuning across Node.js, Go, and Python.
