Does this skill support asynchronous database drivers?

Yes, it specifically implements async patterns using SQLAlchemy's AsyncSession for non-blocking database operations.

How does it handle application configuration?

It utilizes Pydantic Settings for type-safe environment variable management and centralized application configuration.

What architectural pattern does this template use?

It follows a layered Repository-Service-API architecture to ensure a clean separation of concerns and high testability.

Is authentication included in the scaffolding?

Yes, the skill provides implementation patterns for JWT-based security, including password hashing and bearer token verification.

FastAPI Production Scaffolding

Name: FastAPI Production Scaffolding
Author: HermeticOrmus

byHermeticOrmus

API Development

Scaffolds production-ready FastAPI applications with async patterns, dependency injection, and clean architectural layers.

About

This skill provides a comprehensive framework for building high-performance Python APIs using FastAPI. It implements a clean architecture consisting of dedicated layers for API routing, business logic (services), and data access (repositories). Designed for production environments, it includes built-in patterns for asynchronous database operations with SQLAlchemy, robust Pydantic schema validation, centralized configuration management, and secure JWT-based authentication. Whether starting a new microservice or refactoring an existing backend, this skill ensures best practices are followed for scalability and maintainability.

Key Features

Automated Pydantic schema integration for request validation
Built-in JWT authentication and security utilities
Dependency injection for database sessions and configuration
Layered architecture with API, Service, and Repository separation
Async CRUD Repository pattern for SQLAlchemy
0 GitHub stars

Use Cases

Setting up a secure user authentication system with JWT
Implementing asynchronous database communication in Python
Initializing a new production-grade REST API backend

About

Key Features

Automated Pydantic schema integration for request validation
Built-in JWT authentication and security utilities
Dependency injection for database sessions and configuration
Layered architecture with API, Service, and Repository separation
Async CRUD Repository pattern for SQLAlchemy
0 GitHub stars

Use Cases

Setting up a secure user authentication system with JWT
Implementing asynchronous database communication in Python
Initializing a new production-grade REST API backend