Agent skill · software engineering · personamanagmentlayer
fastapi-expert
Expert-level FastAPI development for high-performance Python APIs with async support. Use when the user mentions Python, API, async, REST, OpenAPI, or Pydantic, or when the task involves FastAPI Features.
Why this skill is useful
Provides specific FastAPI patterns and async database interaction techniques that the AI wouldn't reliably generate on its own.
What it needs
Requires jose, passlib, pydantic, python, sqlalchemy, uvicorn installed locally. About 3k tokens when loaded. Last updated 2026-03-30. 41 stars on the source repository.
What this skill does
FastAPI Expert Expert guidance for FastAPI - modern, fast Python web framework for building APIs with automatic OpenAPI documentation and type safety. Core Concepts FastAPI Features Fast performance (Starlette + Pydantic) Automatic OpenAPI/Swagger docs Type hints and validation Async/await support Dependency injection OAuth2 and JWT WebSocket support Key Components Path operations (routes) Request/response models (Pydantic) Dependency injection Middleware Background tasks Testing with TestClient Basic FastAPI Application Dependency Injection Authentication Database Integration (SQLAlchemy) Request Validation Background Tasks Testing Best Practices Use Pydantic models for validation Implement proper error handling Use dependency injection Add rate limiting Enable CORS properly Use async/await for I/O Document with docstrings Add proper logging Resources FastAPI Docs: https://fastapi.tiangolo.com/ Pydantic: https://docs.pydantic.dev/ Starlette: https://www.starlette.io/
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills personamanagmentlayer/fastapi-expert