Does it support asynchronous database operations?

Yes, it provides specific patterns for async/await usage with SQLAlchemy's AsyncSession and FastAPI's lifespan events for database connection management.

What architecture does this skill use?

It implements a modular directory structure using the Service-Repository pattern, which separates business logic from data access and API routing for better testability.

Can I use this for existing projects?

While optimized for new projects, the implementation patterns like the CRUD BaseRepository and Service Layer can be integrated into existing FastAPI codebases to improve structure.

Is authentication included in the templates?

Yes, the templates include comprehensive implementation patterns for JWT-based authentication, password hashing with passlib, and dependency-based authorization.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Activer007

byActiver007

API Development

Generates production-ready FastAPI project architectures featuring asynchronous patterns, dependency injection, and scalable service-repository layers.

About

This Claude Code skill streamlines the creation of high-performance Python backends by providing standardized, production-grade project structures for FastAPI. It implements industry best practices such as the service-repository pattern, comprehensive dependency injection for database sessions and authentication, and robust asynchronous error handling. Whether you are bootstrapping a new microservice or refactoring an existing API, this skill helps ensure your codebase follows modern architectural patterns and remains maintainable in high-concurrency environments.

Key Features

Modular project structure following industry best practices
Service-Repository pattern for clean separation of concerns
Automated Pydantic schema validation and environment configuration
Integrated asynchronous database management with SQLAlchemy
Built-in JWT authentication and authorization workflows
0 GitHub stars

Use Cases

Implementing secure, high-concurrency backend APIs for web applications
Refactoring existing FastAPI codebases into a scalable architectural pattern
Bootstrapping new RESTful microservices with Python

About

Key Features

Modular project structure following industry best practices
Service-Repository pattern for clean separation of concerns
Automated Pydantic schema validation and environment configuration
Integrated asynchronous database management with SQLAlchemy
Built-in JWT authentication and authorization workflows
0 GitHub stars

Use Cases

Implementing secure, high-concurrency backend APIs for web applications
Refactoring existing FastAPI codebases into a scalable architectural pattern
Bootstrapping new RESTful microservices with Python