Is this template suitable for production use?

Yes, the templates follow industry best practices including security middleware, Pydantic settings for environment variables, and modular architecture.

Does it support both SQL and NoSQL databases?

The core patterns provided focus on SQLAlchemy (SQL), but the Repository pattern is easily adaptable for MongoDB or other NoSQL stores by swapping the base repository logic.

Does this skill handle database migrations?

While it provides the database model and session patterns, you should use tools like Alembic alongside these templates for professional schema migrations.

Can I customize the recommended project structure?

Absolutely. The skill provides a recommended layout that serves as a high-quality starting point, but it can be scaled or modified based on your specific project requirements.

FastAPI Project Scaffolding

Name: FastAPI Project Scaffolding
Author: Microck

byMicrock

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API Development

Generates production-ready FastAPI backend architectures featuring async patterns, dependency injection, and professional CRUD structures.

About

This skill empowers developers to rapidly bootstrap high-performance Python backends using FastAPI by providing a standardized, scalable project layout. It enforces a professional separation of concerns through dedicated layers for API endpoints, business logic (services), and data access (repositories). By implementing best practices for asynchronous operations, Pydantic v2 schemas, and SQLAlchemy database management, it ensures that new projects are built on a robust, secure, and maintainable foundation suitable for both enterprise microservices and standalone web applications.

Key Features

89 GitHub stars
Modular project structure with clear separation of concerns
Pre-configured dependency injection for auth and database sessions
Standardized Repository and Service layer implementation patterns
Built-in async database patterns with SQLAlchemy and Pydantic
Production-ready JWT authentication and security middleware

Use Cases

Refactoring existing Python scripts into structured, scalable microservices
Bootstrapping a new REST API for a web or mobile application
Implementing high-performance async backend services with PostgreSQL or MongoDB

About

Key Features

89 GitHub stars
Modular project structure with clear separation of concerns
Pre-configured dependency injection for auth and database sessions
Standardized Repository and Service layer implementation patterns
Built-in async database patterns with SQLAlchemy and Pydantic
Production-ready JWT authentication and security middleware

Use Cases

Refactoring existing Python scripts into structured, scalable microservices
Bootstrapping a new REST API for a web or mobile application
Implementing high-performance async backend services with PostgreSQL or MongoDB