fastapi-pro

What it does

This skill enables AI agents to build, deploy, and manage production-ready FastAPI applications directly within their workflow. It handles the full lifecycle from defining API endpoints to generating runnable code and containerized deployments.

When to use it

• You need to rapidly prototype RESTful APIs for backend services without manual coding.
• Your agent requires a scalable Python framework that supports asynchronous request handling.
• You want automated generation of docker-compose configurations for immediate deployment.
• You are building microservices that require OpenAPI schema validation and automatic documentation.

Key capabilities

• Generates complete FastAPI application code based on endpoint specifications.
• Automatically creates Dockerfiles and docker-compose.yml for containerization.
• Supports dependency injection and async/await patterns natively.
• Produces valid Pydantic models for request/response data validation.
• Outputs ready-to-run scripts with uvicorn configuration.

Example prompts

• "Create a FastAPI endpoint that accepts a JSON payload, validates it using Pydantic, and returns a 201 status code."
• "Generate a full Docker setup including a Dockerfile and docker-compose.yml for a FastAPI app running on port 8000."
• "Build an asynchronous API route that queries an external database and streams results back to the client."

Tips & gotchas

Ensure your environment has Python 3.10+ installed, as FastAPI relies heavily on modern type hinting features. While the skill generates robust code, always review the output for specific business logic requirements before deployment.