What Python frameworks does this skill support?

While the core architectural logic is framework-independent, the skill provides specific implementation patterns and examples for FastAPI and Flask.

How does Clean Architecture improve Python testing?

By decoupling business rules from infrastructure like databases and APIs, you can unit test your core domain and use cases in isolation without complex integration setups.

Is this skill appropriate for small Python scripts?

These patterns are generally optimized for medium-to-large scale applications where long-term maintainability is more important than the speed of initial setup.

Does this skill handle Dependency Injection?

Yes, it provides comprehensive patterns for setting up dependency injection containers to wire together domain logic, use cases, and infrastructure adapters.

Clean Architecture for Python

Name: Clean Architecture for Python
Author: giuseppe-trisciuoglio

bygiuseppe-trisciuoglio

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165

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API開発

Implements Clean Architecture, Hexagonal patterns, and Domain-Driven Design (DDD) to build maintainable and testable Python backend services.

This skill empowers developers to structure Python applications using robust architectural patterns such as Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design (DDD). By enforcing a strict separation of concerns between domain logic, use cases, and infrastructure, it ensures that business rules remain independent of frameworks like FastAPI or Flask and external tools like databases. It is an essential tool for scaling complex backend systems where testability, maintainability, and architectural integrity are high priorities.

主な機能

01Automated setup for Repository patterns and Dependency Injection containers

02165 GitHub stars

03Hexagonal Architecture implementation using abstract Ports and concrete Adapters

04Standardized directory structure for multi-layered Python applications

05Tactical DDD patterns including Entities, Value Objects, and Aggregates

06Framework-agnostic business logic for simplified unit testing and mocking

ユースケース

01Implementing complex domain logic that must remain isolated from database or API framework dependencies

02Designing new Python backend services with FastAPI or Flask using a scalable foundation

03Refactoring monolithic or tightly coupled legacy codebases into clean, maintainable layers

What are Skills?·How to Install

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npx skillfish add giuseppe-trisciuoglio/developer-kit clean-architecture

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