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python-pro

Implements strict typing, asyncio patterns, and pytest tests for Python 3.11+ projects.

Updated Aug 27, 2026
Search Tags:#production#pytest#python#mypy#code-quality#asyncio#typing
One-click install
npx skills add https://github.com/kamushadenes/nix --skill python-pro-kamushadenes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/kamushadenes/nix/tree/main/home/common/ai/resources/claude-code/skills/python-pro
Command: npx skills add https://github.com/kamushadenes/nix --skill python-pro-kamushadenes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers deliver production-grade Python 3.11+ code with thorough typing, robust asynchronous patterns, and maintainable structure.

Core Features & Use Cases

  • Full type annotations on all public APIs
  • Async/await patterns with asyncio
  • pytest-based tests and high coverage
  • Modern Python syntax and production-ready patterns
  • Use Case: Refactor a legacy codebase to adopt strict typing and asynchronous I/O.

Quick Start

Start by providing a small Python module and a testing plan to graduate it to type-safe, async-ready code.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I add strict typing and async/await patterns to a legacy Python codebase?▼

You can refactor legacy code by applying full type annotations on all public APIs and converting I/O operations to async/await patterns using asyncio, ensuring production-grade maintainability.

What is the best way to structure pytest tests for a production Python service?▼

The best way to structure pytest tests for a production Python service is to implement test-driven development with high coverage, ensuring robust validation across APIs, libraries, and services before deployment.

Does this approach to production-grade Python require a specific minimum version?▼

Yes, this approach to production-grade Python requires targeting Python 3.11+ to leverage modern syntax, strict typing on public APIs, and robust asynchronous patterns effectively.

Can I use mypy for type checking across APIs, libraries, and services?▼

Yes, you can use mypy for type checking by applying full type annotations on all public APIs, ensuring type safety and code quality across your libraries and services.

Why does modernizing a Python project for production require asyncio and high test coverage?▼

Modernizing a Python project requires asyncio and high test coverage to deliver robust asynchronous I/O patterns and maintainable structure, ensuring the code meets production-grade reliability standards.

What are the limitations of refactoring legacy code to use strict typing in Python?▼

A limitation of refactoring legacy code to strict typing in Python is the requirement to target version 3.11+ for modern syntax compatibility, which may necessitate upgrading older runtime environments.

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