python-patterns

Provides guidance on Python framework selection, async patterns, type hinting, and project structure.

1|Updated Dec 13, 2025
One-click install
npx skills add https://github.com/GrupoUS/gpus --skill python-patterns-grupous
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/GrupoUS/gpus/tree/main/.claude/skills/python-patterns
Command: npx skills add https://github.com/GrupoUS/gpus --skill python-patterns-grupous

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers make informed decisions about Python project structure, framework selection, asynchronous programming, and type hinting, leading to more robust and maintainable code.

Core Features & Use Cases

  • Framework Guidance: Provides decision trees and comparison principles for choosing between FastAPI, Django, and Flask based on project needs.
  • Async vs. Sync: Offers clear guidelines on when to use asynchronous programming and which libraries to leverage.
  • Type Hinting Strategy: Teaches best practices for applying type hints and using Pydantic for validation.
  • Project Structure: Suggests scalable project structures for small, medium, and large Python applications.
  • Use Case: A developer is starting a new web API project and is unsure whether to use FastAPI or Django. This Skill guides them through the decision-making process based on their specific requirements (e.g., API-first, async needs, admin interface).

Quick Start

Use the python-patterns skill to decide between FastAPI and Django for a new API project.

Frequently Asked Questions about python-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose between FastAPI and Django for a new Python web API project?

Choosing between FastAPI and Django for a Python web API project depends on your specific requirements, such as whether you need an API-first approach, asynchronous support, or a built-in admin interface. This Skill provides decision trees and comparison principles to guide your framework selection.

When should I use asynchronous programming in Python?

You should use asynchronous programming in Python when your application handles I/O-bound tasks that benefit from concurrency. This Skill offers clear guidelines on when to use async patterns and which specific libraries to leverage for optimal performance.

What are the best practices for applying type hints and validation in Python?

Best practices for type hinting in Python involve applying strategic annotations and using Pydantic for data validation. This Skill teaches you how to effectively implement type hints to build more robust and maintainable code.

How do I structure a scalable Python application for a large project?

To structure a scalable Python application for a large project, you should follow modular architectural patterns. This Skill suggests scalable project structures tailored for small, medium, and large Python applications to ensure maintainability.

Does Flask still fit into modern Python development projects?

Flask remains a viable framework for modern Python development projects, particularly for smaller or microservice-oriented applications. This Skill provides comparison principles to help you decide if Flask suits your project needs alongside FastAPI and Django.