fastapi

Scaffold a FastAPI project with JWT authentication and async SQLAlchemy.

Updated Feb 14, 2026
One-click install
npx skills add https://github.com/itsimonfredlingjack/ELECTRON-prompt-builder --skill fastapi-itsimonfredlingjack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/itsimonfredlingjack/ELECTRON-prompt-builder/tree/main/.cursor/skills/fastapi
Command: npx skills add https://github.com/itsimonfredlingjack/ELECTRON-prompt-builder --skill fastapi-itsimonfredlingjack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi[standard], sqlalchemy[asyncio], aiosqlite, python-jose[cryptography], passlib[bcrypt], pydantic-settings, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a production-ready, opinionated structure for building Python APIs using FastAPI, addressing common challenges like authentication, database integration, and error handling.

Core Features & Use Cases

  • Project Structure: Domain-based organization for maintainability.
  • Authentication: JWT-based authentication with secure password handling.
  • Database Integration: Async SQLAlchemy 2.0 with Pydantic v2 validation.
  • Error Prevention: Solves 7 common FastAPI/Pydantic pitfalls.
  • Use Case: Quickly scaffold a new REST API for a web application, ensuring secure user management and efficient data handling.

Quick Start

Use the fastapi skill to create a new Python API project with JWT authentication and async database support.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I structure a FastAPI project with async SQLAlchemy and JWT authentication?

Structure a FastAPI project using a domain-based organization for maintainability, integrating async SQLAlchemy 2.0 for database operations and JWT for secure authentication. This approach provides a production-ready template addressing common challenges like validation and error handling.

What's the best way to handle Pydantic v2 validation errors and CORS in a FastAPI backend?

Handle Pydantic v2 validation errors and CORS by applying an opinionated project structure that explicitly solves seven common FastAPI pitfalls. This prevents typical form data, validation, and background task errors while ensuring robust API operation.

Does this FastAPI template support async database operations with SQLAlchemy 2.0?

Yes, this FastAPI template fully supports async database operations using SQLAlchemy 2.0 and aiosqlite. It integrates Pydantic v2 validation to ensure efficient data handling within an asynchronous Python backend environment.

Can I use uv package manager to scaffold a Python API with FastAPI?

Yes, you can use the uv package manager to scaffold a new Python API project with FastAPI. This provides a production-ready template featuring JWT authentication and async database support right out of the box.

Why does my FastAPI form data submission fail when using Pydantic v2?

FastAPI form data submissions often fail due to common integration pitfalls with Pydantic v2 validation. This template explicitly addresses and prevents these specific errors, alongside issues with background tasks and async operations.

How do I implement secure password handling and JWT tokens in a Python API?

Implement secure password handling and JWT tokens in a Python API using passlib with bcrypt and python-jose cryptography. This template provides a production-ready structure for secure user management and authentication.