What architecture does this FastAPI skill follow?

It follows a multi-layered architectural pattern consisting of API routers, service layers for business logic, and repository layers for data access to ensure high maintainability.

Can I use this for both SQL and NoSQL databases?

Yes, the repository and service patterns are designed to be database-agnostic, though the provided implementation examples focus on async SQLAlchemy for SQL databases.

Does it support database migrations?

While the template provides database session management and SQLAlchemy models, you can easily integrate tools like Alembic for full migration support within this structure.

Is authentication built-in to the templates?

The skill includes implementation patterns for JWT-based authentication, including password hashing with passlib and token verification using the jose library.

Why use the Repository pattern in FastAPI?

The repository pattern abstracts data access logic, making the code more testable and allowing you to change database implementations without affecting your core business logic.

FastAPI Production Scaffolding

Name: FastAPI Production Scaffolding
Author: carloscroc

bycarloscroc

API Development

Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and scalable architecture.

About

This Claude Code skill streamlines the creation of high-performance Python backends by providing standardized FastAPI templates. It implements a robust multi-layered architecture including API routing, Pydantic schemas, database repositories, and service layers. By incorporating industry best practices like async/await patterns, JWT authentication, and structured dependency injection, it allows developers to focus on business logic while ensuring their infrastructure is scalable, maintainable, and secure from day one.

Key Features

Async/Await Patterns: Optimized for high-performance database operations and background tasks.
Layered Architecture: Separation of concerns with API, Service, and Repository layers.
JWT Authentication: Secure user management and authorization patterns ready for deployment.
0 GitHub stars
Dependency Injection: Modular session management and authentication using FastAPI's built-in DI system.
Pydantic V2 Schemas: Robust data validation and serialization for request/response handling.

Use Cases

Refactoring an existing synchronous Python project to an asynchronous FastAPI architecture.
Implementing standardized CRUD operations with PostgreSQL or other SQL databases.
Starting a new high-performance microservice or REST API with best practices.

About

Key Features

Async/Await Patterns: Optimized for high-performance database operations and background tasks.
Layered Architecture: Separation of concerns with API, Service, and Repository layers.
JWT Authentication: Secure user management and authorization patterns ready for deployment.
0 GitHub stars
Dependency Injection: Modular session management and authentication using FastAPI's built-in DI system.
Pydantic V2 Schemas: Robust data validation and serialization for request/response handling.

Use Cases

Refactoring an existing synchronous Python project to an asynchronous FastAPI architecture.
Implementing standardized CRUD operations with PostgreSQL or other SQL databases.
Starting a new high-performance microservice or REST API with best practices.