Python Patterns

This teaches you how to make architectural decisions in Python rather than memorizing patterns. It walks through framework selection (FastAPI vs Django vs Flask), when to use async vs sync, type hint strategies, project structure by size, and background task options. The decision trees and comparison tables are genuinely useful. Most skills give you code to copy, but this one asks "what are you building?" first and explains the tradeoffs. It assumes you know Python basics but need help thinking through real project decisions like whether you actually need async or if Celery is overkill. Good for moving past tutorial hell into making your own architectural calls.

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last updated: Jul 14, 2026

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$ npx -y skills add sickn33/antigravity-awesome-skills --skill python-patterns --agent claude-code

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Python Patterns

Python development principles and decision-making for 2025. Learn to THINK, not memorize patterns.

When to Use

Use this skill when making Python architecture decisions, choosing frameworks, designing async patterns, or structuring Python projects.

⚠️ 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 (2025)

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