Fastapi Expert

The FastAPI Expert skill enables AI agents to generate, deploy, and interact with high-performance Python web APIs using the FastAPI framework. It handles everything from defining async endpoints and Pydantic models to managing dependencies and serving applications via Uvicorn.

When to use it

• Rapidly prototype RESTful or GraphQL services for internal tools without boilerplate code.
• Create secure, type-safe API schemas that automatically generate OpenAPI documentation.
• Deploy lightweight microservices that leverage asynchronous request handling for high throughput.
• Integrate AI models into production-ready endpoints with automatic input validation and error responses.

Key capabilities

• Generates complete FastAPI application structures including routers and middleware.
• Defines Pydantic data models for robust request/response validation.
• Configures Uvicorn servers for asynchronous execution and deployment.
• Implements dependency injection systems to manage shared state and services.
• Produces interactive Swagger UI documentation automatically based on code definitions.

Example prompts

• "Create a FastAPI endpoint that accepts a user ID, fetches their profile from a mock database, and returns it as JSON with proper validation."
• "Generate a FastAPI application with async endpoints for creating and listing tasks, using Pydantic models for request bodies."
• "Write a FastAPI route that processes an uploaded file asynchronously and returns a progress status via WebSockets."

Tips & gotchas

Ensure your AI agent has access to Python 3.10+ and the fastapi, uvicorn, and pydantic libraries installed in the environment before attempting deployment. While the skill generates production-ready code, you must still configure environment variables and security headers manually for public-facing services.