python-patterns

Provides guidance on Python project structure, including frameworks like FastAPI Django and Flask, plus development principles for maintainable code.

Updated Jan 8, 2026
One-click install
npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill python-patterns-votruongdanh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/VoTruongDanh/AI_Cafe/tree/main/ai-service/.agent/skills/python-patterns
Command: npx skills add https://github.com/VoTruongDanh/AI_Cafe --skill python-patterns-votruongdanh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers make informed decisions about Python frameworks, asynchronous programming, type hinting, and project structure, promoting best practices for modern Python development.

Core Features & Use Cases

  • Framework Selection: Guides users to choose the right Python web framework (FastAPI, Django, Flask) based on project needs.
  • Async vs. Sync: Explains when and how to effectively use asynchronous programming.
  • Type Hinting: Details strategies for implementing type hints for better code quality and maintainability.
  • Project Structure: Provides templates and principles for organizing Python projects of varying sizes.
  • Use Case: A developer is starting a new API project and is unsure whether to use FastAPI or Flask. This Skill provides a decision tree and comparison to help them choose.

Quick Start

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

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, Django, and Flask for a Python web API?

Choosing between FastAPI, Django, and Flask depends on project needs like async support and rapid development. This Skill provides a decision tree comparing these Python frameworks to guide your selection for robust, maintainable applications.

When should I use async programming patterns in Python?

Use async programming patterns in Python when handling concurrent I/O operations. This Skill explains when and how to effectively use asynchronous programming versus synchronous code to maximize application performance.

What's the best way to implement type hinting strategies in Python?

The best way to implement type hinting is by applying contextual strategies for better code quality. This Skill details specific type hinting strategies to improve maintainability across your Python project structure.

How do I structure a Python project for better maintainability?

Structuring a Python project for maintainability requires organizing modules based on project size and scope. This Skill provides structural templates and principles to help you organize Python applications of varying sizes effectively.

Does FastAPI work well for synchronous Python development?

FastAPI works well for synchronous Python development but is optimized for asynchronous programming. This Skill details context-driven choices, explaining when to leverage async patterns versus standard synchronous logic in your chosen framework.