python-patterns

Guide Python architectural decisions for framework selection and project structuring.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/achmf/KostaHub --skill python-patterns-achmf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/achmf/KostaHub/tree/main/.agent/skills/python-patterns
Command: npx skills add https://github.com/achmf/KostaHub --skill python-patterns-achmf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the common struggle of choosing the right architectural patterns and frameworks for Python projects, helping developers move beyond rote memorization to informed decision-making.

Core Features & Use Cases

  • Framework Selection: Provides a decision tree for choosing between FastAPI, Django, and Flask based on project requirements.
  • Async vs Sync Logic: Offers clear principles for determining when to utilize asynchronous programming versus synchronous execution.
  • Project Structuring: Guides the organization of codebases from simple scripts to large-scale applications.

Quick Start

Ask the python-patterns skill to evaluate the best framework and project structure for a new microservice that requires high concurrency and database integration.

Frequently Asked Questions about python-patterns

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

FAQPage Schema
How to choose between FastAPI and Django for a new Python project?

To choose between FastAPI and Django, evaluate project requirements like high concurrency or complex database integration. This Skill provides a decision tree framework to map specific application needs to the correct Python web architecture.

When should I use asynchronous programming patterns in Python?

Use asynchronous programming in Python when building applications requiring high concurrency. This Skill provides principles to determine when async execution offers advantages over synchronous code for scalable architecture.

What is the best way to structure a Python codebase for scalable applications?

The best way to structure a Python codebase is by applying best-practice principles for organization. This Skill guides codebase structuring from simple scripts to large-scale applications, optimizing for maintainability and robust architecture.

Does this Python architecture guidance support Flask alongside FastAPI and Django?

Yes, the framework selection guidance includes Flask alongside FastAPI and Django. The Skill provides decision-making criteria to evaluate Flask against your specific project requirements and architectural goals.

How do I evaluate if my Python microservice needs async database integration?

To evaluate async database integration for your microservice, assess its concurrency requirements. This Skill provides decision-making frameworks to determine when asynchronous patterns benefit high-concurrency database tasks in Python.