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python-patterns

Guide Python framework selection and async programming decisions.

Updated Feb 24, 2026
Search Tags:#development#project structure#python#frameworks#type hints#async
One-click install
npx skills add https://github.com/ofelixdev/cc-kit --skill python-patterns-ofelixdev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/ofelixdev/cc-kit/tree/main/template/skills/python-patterns
Command: npx skills add https://github.com/ofelixdev/cc-kit --skill python-patterns-ofelixdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers make informed decisions about Python framework selection, asynchronous programming, type hinting, and project structure, promoting best practices and efficient development.

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: Explains when and why to use asynchronous programming, including library recommendations.
  • Type Hinting & Validation: Details best practices for type hints and the use of Pydantic for data validation.
  • Project Structure: Offers principles for organizing small, medium, and large Python projects.
  • 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 process by asking key questions about project requirements and team familiarity.

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 to choose between FastAPI and Django for a Python web API project?▼

Choosing between FastAPI and Django for a Python web API project depends on project requirements and team familiarity. This guidance provides decision trees and comparison principles to evaluate framework selection based on specific architectural needs.

When should I use asynchronous programming in Python?▼

Asynchronous programming in Python should be used for I/O-bound tasks. This guidance explains when and why to adopt async patterns, including recommendations for compatible libraries to maximize concurrency performance.

What are the best practices for Python type hinting and data validation?▼

Python type hinting and data validation best practices involve using type hints consistently alongside Pydantic. This approach ensures robust data validation and structural integrity for modern Python applications.

How to structure a large Python project?▼

To structure a large Python project, apply organizational principles that scale with project size. This guidance offers specific structural patterns for small, medium, and large Python projects to maintain maintainability.

Does this Python framework guidance apply to Flask as well?▼

Yes, this Python framework guidance applies to Flask as well. It includes comparison principles for selecting between FastAPI, Django, and Flask to ensure the chosen framework matches your specific project needs.

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