Does this skill support asynchronous database operations?

Yes, it specifically focuses on async patterns using SQLAlchemy's async engine and session management for high-performance data access.

Can I use this for large-scale microservices?

Yes, the recommended layout is designed for scalability, separating routes, schemas, models, and services into a maintainable directory structure.

Does it handle user authentication?

The skill includes patterns for JWT-based authentication, password hashing with passlib, and dependency-based authorization.

Is the Repository pattern included in the templates?

Absolutely. It provides a generic BaseRepository and specific implementations to decouple business logic from data persistence.

How does it manage application settings?

It uses Pydantic Settings for environment variable management and a cached dependency injection pattern for configuration access.

FastAPI Production Templates

Name: FastAPI Production Templates
Author: Microck

byMicrock

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110

Desarrollo de API

Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and robust repository layers.

Acerca de

This skill provides a comprehensive framework for building scalable Python backend services using FastAPI. It implements industry best practices including a modular project layout, asynchronous database management with SQLAlchemy, the Repository pattern for data access, and a dedicated service layer for business logic. Ideal for developers needing to transition from simple prototypes to enterprise-grade microservices, it ensures high performance through proper async/await implementation and clean architecture principles.

Características Principales

Async database session management with SQLAlchemy
JWT-based authentication and security flows
110 GitHub stars
Modular multi-file project architecture
Generic CRUD Repository pattern implementation
Dependency injection for configuration and services

Casos de Uso

Starting a new high-performance microservice from scratch
Implementing clean architecture in existing Python APIs
Setting up async backend services with PostgreSQL or MongoDB

Acerca de

Características Principales

Async database session management with SQLAlchemy
JWT-based authentication and security flows
110 GitHub stars
Modular multi-file project architecture
Generic CRUD Repository pattern implementation
Dependency injection for configuration and services

Casos de Uso

Starting a new high-performance microservice from scratch
Implementing clean architecture in existing Python APIs
Setting up async backend services with PostgreSQL or MongoDB