Can I apply these patterns to existing monolithic projects?

Absolutely. The skill includes guidance on identifying anti-patterns and refactoring code into a layered architecture with clear transaction boundaries and segregated interfaces.

How does this skill improve FastAPI development?

It provides structural patterns that prevent framework-specific dependencies from leaking into your business logic, making your code more portable and significantly easier to unit test.

Does this skill support the latest Python features?

Yes, it utilizes modern Python standards including Protocols for structural typing, Dataclasses for domain entities, and type-hinted dependency injection.

What is the benefit of the Hexagonal Architecture pattern provided?

It decouples your core business logic (Domain) from external tools (Infrastructure), allowing you to swap databases, APIs, or messaging systems without modifying your core use cases.

Clean Architecture & DDD Patterns

Name: Clean Architecture & DDD Patterns
Author: yonatangross

byyonatangross

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Desarrollo de API

Implements maintainable backend structures using SOLID principles, hexagonal architecture, and Domain-Driven Design tactical patterns.

This skill provides a comprehensive framework for building decoupled, scalable, and testable Python backends, specifically optimized for modern frameworks like FastAPI. It guides developers through implementing SOLID principles via Python protocols, organizing code with Ports and Adapters (Hexagonal Architecture), and applying Domain-Driven Design (DDD) patterns such as Entities, Value Objects, and Aggregates. By enforcing strict boundaries between domain logic and infrastructure, it helps eliminate framework leakage and ensures high-quality, production-ready codebases that are easy to maintain and refactor.

Características Principales

01Hexagonal Architecture (Ports & Adapters) templates for decoupling infrastructure from core logic

02Comprehensive guidance on avoiding architectural anti-patterns and framework leakage

03Implementation of SOLID principles using modern Python Protocols and structural typing

04Standardized directory structures for scalable FastAPI and Python backend projects

05DDD Tactical Patterns including Aggregate Roots, Value Objects, and Domain Events

0629 GitHub stars

Casos de Uso

01Refactoring monolithic controllers and services into decoupled, domain-centric layers

02Structuring a new FastAPI backend project with long-term scalability and testability in mind

03Establishing clear repository patterns and dependency inversion for complex database interactions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/skillforge-claude-plugin clean-architecture

For use in Claude.ai and ChatGPT

Download Skill