What architectural pattern does this skill follow?

It implements a multi-layered architecture including Routers for endpoints, Services for business logic, Repositories for data access, and Pydantic Schemas for data validation.

How does it handle database sessions?

It utilizes a 'single session per request' pattern where the AsyncSession is injected at the router level and passed down as a parameter through the service and repository layers.

In what order are files generated for a new entity?

To ensure dependency integrity, it generates files in this order: Model, Schemas, Repository, Service, Router, and finally registration in the main app.

Does it support camelCase for JSON responses?

Yes, it uses a CamelModel base class for Pydantic DTOs to automatically convert Python's snake_case attributes to camelCase for API responses.

FastAPI Module Generator

Name: FastAPI Module Generator
Author: adelabdelgawad

byadelabdelgawad

0•

API 开发

Generates production-ready FastAPI CRUD modules using a clean architecture featuring the repository pattern and single-session-per-request flow.

This skill automates the creation of robust FastAPI backend modules by enforcing a clean architectural separation between routers, services, repositories, and models. It ensures architectural consistency across your codebase by implementing best practices like dependency injection for database sessions, automated camelCase JSON conversion with CamelModel, and standardized domain exceptions, making it ideal for developers building scalable REST APIs with SQLAlchemy and Pydantic.

主要功能

010 GitHub stars

02Automatic camelCase JSON serialization via CamelModel base classes

03Single-session-per-request architecture for reliable database transactions

04Standardized domain exception mapping to HTTP status codes

05Automated CRUD module generation including Routers, Services, and Repositories

06Pre-configured Repository pattern for decoupled data access layers

使用场景

01Standardizing API response formats and error handling across a full-stack application

02Refactoring monolithic endpoint logic into a structured Service/Repository pattern

03Scaffolding a new entity with full CRUD endpoints in an existing FastAPI project

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adelabdelgawad/fullstack-agents fastapi

For use in Claude.ai and ChatGPT

Download Skill