python-fastapi-development

What problem does it solve? Building a production FastAPI backend involves many decisions across scaffolding, database design, authentication, testing, and deployment. This Skill organizes that work into eight structured phases with concrete actions and quality gates, so nothing critical is skipped. ## Core Features & Use Cases - Phased Workflow: Eight phases covering project setup, database design, API routes, authentication, error handling, testing, documentation, and deployment. - Technology Stack Guidance: Opinionated defaults for FastAPI, SQLAlchemy 2.0, Pydantic v2, PostgreSQL, Alembic, JWT/OAuth2, and pytest. - Quality Gates: Checklists for test coverage, type checking with mypy, linting with ruff and black, and security scanning. - Use Case: When starting a new microservice, follow the phases to scaffold the project, design the PostgreSQL schema, implement JWT-protected CRUD endpoints, and containerize the app with Docker. ## Quick Start Ask the AI to scaffold a new FastAPI project with SQLAlchemy models, JWT authentication, and pytest tests following this workflow.