python-fastapi-development

Guides phased development of FastAPI backends with SQLAlchemy, Pydantic, JWT auth, and deployment.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/Yash-Awasthi/adapfit --skill python-fastapi-development-yash-awasthi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-fastapi-development
Source: https://github.com/Yash-Awasthi/adapfit/tree/main/.agents/skills/python-fastapi-development
Command: npx skills add https://github.com/Yash-Awasthi/adapfit --skill python-fastapi-development-yash-awasthi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building a production FastAPI backend involves many decisions—project structure, database setup, authentication, error handling, testing, and deployment. This Skill organizes that work into eight clear phases with concrete actions and ready-to-use prompts, so nothing critical is missed. ## Core Features & Use Cases - Phased Workflow: Eight phases covering project setup, database design, API routes, authentication, error handling, testing, documentation, and deployment. - Copy-Paste Prompts: Each phase includes ready prompts that invoke supporting skills like fastapi-templates, database-design, and docker-expert. - Quality Gates: A checklist enforcing test coverage, type checking, linting, documentation, and security scanning before shipping. - Use Case: When starting a new REST API service, follow the phases to scaffold the project, design the PostgreSQL schema with SQLAlchemy, implement JWT authentication, write pytest tests, and containerize with Docker. ## Quick Start Ask the AI to scaffold a new FastAPI project with SQLAlchemy models, JWT authentication, and pytest tests following this workflow.

Frequently Asked Questions about python-fastapi-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure a FastAPI project for production?▼

Follow the phased workflow: scaffold the project with uv or poetry, configure the FastAPI app and logging, then add SQLAlchemy models, routers, and auth in separate phases. Each phase lists concrete actions and quality gates before moving on.

How to implement JWT authentication in FastAPI?▼

Phase 4 covers authentication: choose JWT or OAuth2, implement user registration and login endpoints, create auth middleware, and add password hashing. It invokes auth-implementation-patterns and api-security-best-practices skills for guidance.

Does this workflow support databases other than PostgreSQL?▼

The workflow is built around PostgreSQL with SQLAlchemy 2.0 and Alembic migrations as the default stack. SQLAlchemy supports other databases, but the documented prompts and technology table target PostgreSQL specifically.

What testing approach does the FastAPI workflow use?▼

Phase 6 uses pytest with fixtures, unit tests, integration tests, and a configured test database. The quality gates require over 80% test coverage plus passing mypy type checks and ruff/black linting.

When should I not use this FastAPI workflow?▼

Avoid it for tasks outside its scope, such as non-Python backends or simple single-file scripts. The skill itself instructs to stop and ask for clarification when inputs, permissions, or success criteria are missing.