Can I use this skill to refactor an existing API?

While optimized for bootstrapping new projects, the patterns and code snippets provided are excellent references for refactoring existing FastAPI apps into a more scalable architecture.

Does it support asynchronous database operations?

Yes, it provides implementation patterns for full async/await support using SQLAlchemy's async engine and Pydantic for high-performance data validation.

What project structure does this FastAPI skill use?

It implements a professional modular layout that separates API endpoints, core configuration, models, schemas, and a dedicated service/repository layer to ensure clean logic separation.

Is security and authentication included in the templates?

The skill includes robust patterns for JWT-based authentication, password hashing with Passlib, and secure dependency-based authorization handlers.

FastAPI Project Templates

Name: FastAPI Project Templates
Author: Microck

byMicrock

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API Development

Generates production-ready FastAPI backends with robust async patterns, dependency injection, and scalable architecture.

This skill provides a comprehensive framework for building high-performance Python APIs using FastAPI. It automates the setup of modern, modular project structures, implementing essential design patterns like the Repository and Service layers. By providing standardized templates for asynchronous database operations, Pydantic schemas, and secure JWT authentication, it helps developers move from concept to deployment quickly while maintaining code quality and performance best practices. It is particularly useful for engineers bootstrapping new microservices or transitioning synchronous Python applications to an asynchronous stack.

Key Features

01Integrated JWT authentication and password security middleware

02Modular project layout with clear separation of concerns

0381 GitHub stars

04Async-first implementation for SQLAlchemy and database operations

05Automated dependency injection for database and config management

06Reusable CRUD Repository and Service layer patterns

Use Cases

01Standardizing backend architecture and testing patterns across engineering teams

02Building scalable microservices with async PostgreSQL or MongoDB support

03Bootstrapping a new high-performance Python REST API from scratch

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