python-patterns

Name: python-patterns
Availability: InStock
Author: twuanminn

Guide Python developers in choosing frameworks, async patterns, typing, and project structure.

Updated Jan 26, 2026

Search Tags:#architecture #python #patterns #async #typing #project-structure #framework-selection

Ready to run

npx skills add https://github.com/TwuanMinn/fadelab --skill python-patterns-twuanminn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/TwuanMinn/fadelab/tree/main/.agent/skills/skills/python-patterns
Command: npx skills add https://github.com/TwuanMinn/fadelab --skill python-patterns-twuanminn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Guides Python developers in making principled decisions about frameworks, async patterns, typing, and project structure, instead of copying templates or patterns blindly.

Core Features & Use Cases

Decision trees for framework selection (API-first, full-stack, scripts)
Async vs Sync guidance and type hint strategies
Project structure principles and best practices for FastAPI, Django, and small scripts

Quick Start

Tell me your project goals and I will recommend a Python pattern strategy.

Frequently Asked Questions about python-patterns

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

FAQPage Schema

How do I choose the best Python framework for an API-first service?▼

To choose a Python framework for API-first services, use decision trees evaluating project requirements like async support and typing enforcement. Framework selection logic codifies best-practice guidelines to match your specific API goals, ensuring scalable architecture.

When should I use async vs sync workflows in my Python project?▼

Use async workflows in Python projects when handling high-concurrency I/O tasks, and sync workflows for simpler sequential logic. The guidance codifies decision logic to evaluate your project goals and recommend the appropriate async or sync pattern strategy.

What is the best way to structure a FastAPI or Django project for scalability?▼

The best way to structure FastAPI or Django projects is applying modular project layout principles. This approach codifies scalable skeletons and best practices, ensuring maintainable architecture rather than blindly copying templates or patterns.

How do I enforce type hint strategies in a Python codebase?▼

To enforce type hint strategies in a Python codebase, apply codified best-practice guidelines that match your framework selection and project structure. This ensures principled typing decisions are made consistently across API-first services and scripts.

Does this Python pattern guidance work for simple scripts or only full-stack applications?▼

This Python pattern guidance works for both simple scripts and full-stack applications. It provides decision trees for framework selection and establishes modular project layouts tailored to various scopes, from small scripts to complex API-first services.