Fastapi Expert

What it does

The fastapi-expert skill enables AI agents to develop, deploy, and optimize FastAPI-based backend services. It includes knowledge of creating RESTful APIs, integrating with databases, handling authentication, and deploying applications using tools like Uvicorn or Gunicorn.

When to use it

• Building a scalable API for a web application that requires fast performance and asynchronous support.
• Setting up an API endpoint for real-time data processing in a microservices architecture.
• Integrating third-party services such as authentication providers (e.g., OAuth2, JWT) into a FastAPI project.

Key capabilities

• Creating and structuring FastAPI projects with proper routing and request handling.
• Implementing middleware, dependency injection, and exception handling.
• Deploying FastAPI applications on cloud platforms or local servers.
• Integrating with databases using ORMs like SQLAlchemy or Pydantic models.

Example prompts

• "Create a FastAPI endpoint that accepts user data and stores it in a PostgreSQL database."
• "Set up JWT authentication for a FastAPI application with refresh token support."
• "Optimize a FastAPI service to handle 10,000 concurrent requests efficiently."

Tips & gotchas

• Ensure you have Python 3.8+ and FastAPI installed before using this skill.
• While the skill provides strong guidance on best practices, it assumes some familiarity with backend development concepts like REST APIs and database modeling.