Can I use this for existing projects or only new ones?

While optimized for bootstrapping new projects, these patterns serve as an excellent blueprint for refactoring existing FastAPI applications into a more modular structure.

Is the authentication system production-ready?

Yes, the skill provides comprehensive patterns for JWT-based authentication, password hashing with passlib, and OAuth2 security scopes, following industry standards.

What is the benefit of the Repository pattern included here?

The Repository pattern decouples data access logic from business services, making your code significantly more testable and easier to maintain as the project grows.

Does this skill support both SQL and NoSQL databases?

While the templates prioritize SQLAlchemy for PostgreSQL, the architectural patterns are specifically designed to be easily adaptable for MongoDB and other NoSQL solutions.

FastAPI Project Templates

Name: FastAPI Project Templates
Author: Activer007

byActiver007

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API Development

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

This skill provides standardized templates and implementation patterns for building high-performance Python APIs using FastAPI. It streamlines the setup of complex architectural layers including Pydantic schemas, SQLAlchemy async repositories, and service-oriented business logic, ensuring that new projects follow industry best practices for security, testing, and scalability. By providing a clear separation of concerns between API endpoints, data access, and core configuration, it allows developers to focus on unique business logic while maintaining a robust, enterprise-grade foundation.

Key Features

015 GitHub stars

02Generic CRUD Repository pattern for clean data access abstraction

03Built-in Dependency Injection patterns for authentication and shared resources

04Integrated JWT security patterns and Pydantic-based configuration management

05Standardized multi-layer project structure (API, Core, Models, Schemas, Services, Repositories)

06Asynchronous database integration with SQLAlchemy and context-managed sessions

Use Cases

01Refactoring flat FastAPI files into a maintainable, layered directory structure

02Implementing an asynchronous microservice architecture using Python

03Scaffolding a new production-grade REST API from scratch with best practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills fastapi-templates

For use in Claude.ai and ChatGPT

Download Skill