Python Patterns

This teaches you Python decision-making rather than dumping boilerplate. It walks through framework selection (FastAPI vs Django vs Flask based on actual requirements), when to go async vs sync, type hint strategies, and project structure patterns. The approach is deliberately principle-based: it gives you decision trees and asks questions like "is this API-only or full-stack?" instead of prescribing one solution. Covers FastAPI async patterns, Django 5.0+ async support, background task options (Celery vs ARQ vs simple BackgroundTasks), and testing strategies. Most useful when you're starting a new Python project or refactoring and need to justify architectural choices beyond "this is what I always use."

skills.sh installs: 119
GitHub stars: 7.6K
last updated: Jun 3, 2026

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$ npx -y skills add vudovn/antigravity-kit --skill python-patterns --agent claude-code

Installs into .claude/skills of the current project.

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Python Patterns

Python development principles and decision-making. Learn to THINK, not memorize patterns.

⚠️ How to Use This Skill

This skill teaches decision-making principles, not fixed code to copy.

ASK user for framework preference when unclear
Choose async vs sync based on CONTEXT
Don't default to same framework every time

1. Framework Selection

Decision Tree

What are you building?
│
├── API-first / Microservices
│   └── FastAPI (async, modern, fast)
│
├── Full-stack web / CMS / Admin
│   └── Django (batteries-included)
│
├── Simple / Script / Learning
│   └── Flask (minimal, flexible)
│
├── AI/ML API serving
│   └── FastAPI (Pydantic, async, uvicorn)
│
└── Background workers
    └── Celery + any framework

Comparison Principles

Factor	FastAPI	Django	Flask
Best for	APIs, microservices	Full-stack, CMS	Simple, learning
Async	Native	Django 5.0+	Via extensions
Admin	Manual	Built-in	Via extensions
ORM	Choose your own	Django ORM	Choose your own
Learning curve	Low	Medium	Low