What architectural pattern does this skill follow?

The skill implements a modular layered architecture consisting of Routers for HTTP endpoints, Services for business logic orchestration, and Repositories for database-specific operations.

Does it support asynchronous database operations?

Yes, it is specifically optimized for SQLAlchemy 2.0's AsyncSession to ensure high-performance, non-blocking database interactions.

How does it handle Dependency Injection?

It utilizes the 'dependency-injector' library to create a centralized declarative container, allowing for clean wiring of services and repositories into FastAPI dependencies.

Can I use commands to scaffold new modules?

Yes, the skill provides specific commands like /fastapi:module, /fastapi:endpoint, and /fastapi:dto to automatically generate boilerplate code following best practices.

FastAPI Architecture Patterns

Name: FastAPI Architecture Patterns
Author: ruslan-korneev

byruslan-korneev

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API 개발

Implements production-grade FastAPI architectures using SQLAlchemy 2.0 and dependency-injector for scalable backend services.

This skill provides a comprehensive framework for building robust FastAPI applications by enforcing a modular, layered architecture (Router-Service-Repository). It automates the creation of Pydantic v2 DTOs, configures asynchronous SQLAlchemy 2.0 repositories with generic CRUD operations, and manages complex dependencies through the dependency-injector library. It is designed for developers who need to maintain high standards for code organization, standardized exception handling, and reliable transaction management in enterprise-grade Python backends.

주요 기능

01Layered architecture (Router → Service → Repository)

02Declarative Dependency Injection container setup

03Generic CRUD repositories for SQLAlchemy 2.0

04Pydantic v2 DTO generation and validation

05Standardized global exception handling and transaction management

063 GitHub stars

사용 사례

01Scaffolding a new modular FastAPI project with a clean directory structure

02Refactoring flat FastAPI code into a scalable, testable layered architecture

03Implementing complex database transactions and custom API exception handlers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ruslan-korneev/claude-plugins fastapi-patterns

For use in Claude.ai and ChatGPT

주요 기능

01Layered architecture (Router → Service → Repository)

02Declarative Dependency Injection container setup

03Generic CRUD repositories for SQLAlchemy 2.0

04Pydantic v2 DTO generation and validation

05Standardized global exception handling and transaction management

063 GitHub stars

사용 사례

01Scaffolding a new modular FastAPI project with a clean directory structure

02Refactoring flat FastAPI code into a scalable, testable layered architecture

03Implementing complex database transactions and custom API exception handlers

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ruslan-korneev/claude-plugins fastapi-patterns

For use in Claude.ai and ChatGPT