Is this skill just a collection of code snippets?

No, it focuses on teaching 'how to think' and decision-making principles. While it provides patterns, the goal is to help you choose the right approach for your specific context.

Can it help me transition to Async Python?

Yes, it includes 'The Golden Rule' for async vs sync, helping you identify I/O-bound operations and recommending the best async libraries for databases and HTTP clients.

Does it support modern Django features?

Absolutely. It includes principles for Django 5.0+, covering async views, middleware, and optimized ORM queries using select_related and prefetch_related.

How does this skill help with framework selection?

It provides a 2025 decision tree to help you choose between FastAPI, Django, and Flask based on your specific project needs, such as API-first requirements or the need for a built-in admin interface.

Python Architectural Patterns

Name: Python Architectural Patterns
Author: claudiodearaujo

byclaudiodearaujo

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API Development

Guides architectural decision-making for modern Python development including framework selection, async patterns, and project structure.

Python Architectural Patterns is a specialized Claude Code skill designed to help developers navigate the complexities of modern Python development in 2025. Rather than providing static boilerplate, it offers a principled approach to selecting frameworks like FastAPI, Django, or Flask, and making critical decisions regarding async vs. sync execution. It covers advanced topics such as Pydantic validation strategies, type hint implementation, and scalable project structures, ensuring that your Python applications are built on a foundation of industry best practices and maintainable design patterns.

Key Features

011 GitHub stars

02Async vs. Sync decision trees for I/O and CPU-bound tasks

03Context-aware framework selection (FastAPI, Django, Flask)

04Best practices for testing, error handling, and background tasks

05Standardized project structures for small to large applications

06Comprehensive Pydantic and Type Hint implementation strategies

Use Cases

01Implementing standardized error handling and data validation using Pydantic

02Refactoring legacy sync codebases to modern async standards

03Determining the optimal framework and concurrency model for a new microservice

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro python-patterns

For use in Claude.ai and ChatGPT

Download Skill