Python API
Build production APIs with FastAPI, Django REST, and Flask.
How it works
Generates APIs using FastAPI (preferred), Flask, or DRF. For FastAPI: Pydantic models for validation, dependency injection, async SQLAlchemy 2.0, and automatic OpenAPI docs. Handles auth middleware, background tasks, and WebSocket endpoints with full typing.
Example prompts
“Build a FastAPI backend with JWT auth, SQLAlchemy, and Alembic”
“Create a Flask API with rate limiting and Redis caching”
“Add WebSocket support to my FastAPI app for notifications”
Real-world example
A data science team needed a production API for their ML model. The skill generated a FastAPI service with request queuing, model versioning, health checks, and Prometheus metrics — bridging the gap between Jupyter prototype and 1000 req/s production service.
Try the Python API skill
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