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.

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

0189 GitHub stars

02Modular project structure with clear separation of concerns

03Pre-configured dependency injection for auth and database sessions

04Standardized Repository and Service layer implementation patterns

05Built-in async database patterns with SQLAlchemy and Pydantic

06Production-ready JWT authentication and security middleware

Use Cases

01Refactoring existing Python scripts into structured, scalable microservices

02Bootstrapping a new REST API for a web or mobile application

03Implementing high-performance async backend services with PostgreSQL or MongoDB

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills fastapi-templates

For use in Claude.ai and ChatGPT

Download Skill