Does this skill support the latest Python versions?

Yes, it is updated for 2025 standards, including Django 5.0+ async support, Pydantic v2 integration, and modern type-hinting strategies.

How does this skill help with Python framework selection?

It provides a clear decision tree to help you choose between FastAPI, Django, and Flask based on specific needs like API-first design, built-in admin tools, or minimal script requirements.

Does it provide boilerplate code?

Instead of static boilerplate, it teaches architectural principles and decision-making logic so you can write context-aware code that fits your specific project needs.

When should I use async vs. sync in my Python code?

The skill recommends async for I/O-bound operations like database calls and HTTP requests, while suggesting sync with multiprocessing for CPU-bound tasks or simple scripts.

Modern Python Architecture Patterns

Name: Modern Python Architecture Patterns
Author: claudiodearaujo

byclaudiodearaujo

•

API開発

Guides architectural decision-making and implementation patterns for high-performance Python development using 2025 best practices.

This skill serves as a high-level architectural consultant for Python development, focusing on the 'why' behind technical choices rather than just the 'how.' It provides comprehensive guidance on selecting the optimal framework—whether FastAPI, Django, or Flask—and implements sophisticated logic for navigating async vs. sync operations. By prioritizing type safety through Pydantic and type hints, and outlining scalable project structures for various application sizes, it ensures that developers build maintainable, production-ready systems that align with modern industry standards.

主な機能

01Standardized error handling and async testing principles with pytest

02Detailed async vs. sync execution strategies and library recommendations

03Modular project structure templates for small scripts to enterprise apps

04Framework selection decision trees for API-first, full-stack, and ML services

05Advanced type-hinting and Pydantic v2 data validation patterns

061 GitHub stars

ユースケース

01Architecting a new high-concurrency API using FastAPI and async drivers

02Determining the best project structure and framework for a complex full-stack application

03Implementing robust data validation and type safety across a distributed Python system

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

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