How does the repository pattern help my project?

The repository pattern decouples your business logic from the data access layer, making your code easier to unit test and allowing you to swap or update database implementations with minimal friction.

Does this skill support asynchronous database operations?

Yes, the templates are designed specifically for async/await patterns using SQLAlchemy's async engine and FastAPI's dependency injection system.

What is included in the FastAPI template structure?

It includes a modular layout with dedicated directories for API routes, business logic services, data repositories, Pydantic schemas, and core configuration files.

Can I use this for production applications?

Absolutely. It incorporates production-grade security best practices like JWT authentication, password hashing with passlib, CORS middleware, and environment-based configuration.

FastAPI Scaffolding & Project Templates

Name: FastAPI Scaffolding & Project Templates
Author: drgaciw

bydrgaciw

API Development

Generates production-ready FastAPI project structures with async patterns, dependency injection, and robust CRUD implementations.

About

This skill streamlines the creation of high-performance Python backends by providing standardized, scalable FastAPI templates. It implements industry best practices including a clean multi-layered architecture—separating concerns into API, Service, and Repository layers—alongside asynchronous database operations with SQLAlchemy and comprehensive security patterns. Whether you are bootstrapping a new microservice or refactoring an existing API, this skill provides the necessary scaffolding to ensure type safety, efficient dependency management, and production-grade error handling.

Key Features

Asynchronous database session management using SQLAlchemy and Pydantic
Built-in JWT authentication and authorization security patterns
Multi-layered project architecture (API, Service, Repository layers)
Production-ready configuration and middleware setups
0 GitHub stars
Standardized CRUD repository patterns for rapid data access development

Use Cases

Refactoring existing FastAPI projects into a maintainable, clean architecture
Bootstrapping a new high-performance Python microservice from scratch
Implementing a secure REST API with PostgreSQL or MongoDB integration

About

Key Features

Asynchronous database session management using SQLAlchemy and Pydantic
Built-in JWT authentication and authorization security patterns
Multi-layered project architecture (API, Service, Repository layers)
Production-ready configuration and middleware setups
0 GitHub stars
Standardized CRUD repository patterns for rapid data access development

Use Cases

Refactoring existing FastAPI projects into a maintainable, clean architecture
Bootstrapping a new high-performance Python microservice from scratch
Implementing a secure REST API with PostgreSQL or MongoDB integration