What problem does it solve? Building a production-grade Python API involves dozens of decisions across framework selection, authentication, documentation, testing, observability, and deployment, and getting any of them wrong leads to security holes, poor performance, or unmaintainable code. ## Core Features & Use Cases - Framework Guidance: Decision matrices and deep-dive patterns for FastAPI (async, Pydantic V2, SQLAlchemy 2.0) and Django (DRF, ORM optimization, Celery). - Security & Auth Patterns: JWT/OAuth2 flows, RBAC, rate limiting, input validation, and security headers with ready-to-adapt code. - Full Lifecycle Coverage: OpenAPI 3.1 documentation, mock servers and contract testing, structured logging with OpenTelemetry and Prometheus, plus Docker, Kubernetes, and CI/CD deployment configs. - Use Case: You need to ship a FastAPI microservice with JWT auth, health checks, and a Kubernetes deployment. The skill walks you through project structure, security checklist, observability setup, and production manifests step by step. ## Quick Start Ask the agent to help you design and scaffold a new FastAPI or Django REST API, specifying your requirements for authentication, testing, and deployment.