python-pro

Write idiomatic Python 3.11+ code with strict type safety and performance optimization.

3|1|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/Harmitx7/tribunal-kit --skill python-pro-harmitx7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-pro
Source: https://github.com/Harmitx7/tribunal-kit/tree/main/.agent/skills/python-pro
Command: npx skills add https://github.com/Harmitx7/tribunal-kit --skill python-pro-harmitx7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for high-quality, production-ready Python code by providing expert-level development, ensuring type safety, performance, and adherence to best practices.

Core Features & Use Cases

  • Idiomatic Python: Writes code that follows Pythonic conventions and best practices.
  • Type Safety: Enforces strict type hinting and validation using tools like mypy and Pydantic.
  • Performance Optimization: Identifies and implements performance improvements for critical code paths.
  • Web Development: Specializes in frameworks like FastAPI and Django.
  • Data Science: Proficient in libraries like Pandas and NumPy for efficient data manipulation.
  • Async Operations: Expertly handles asynchronous programming with asyncio.
  • Use Case: Refactor a legacy Python script to incorporate modern type hints, improve its async handling for I/O operations, and ensure it passes mypy checks with flying colors.

Quick Start

Use the python-pro skill to refactor the provided code snippet for improved type safety and PEP 8 compliance.

Frequently Asked Questions about python-pro

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

FAQPage Schema
How do I refactor legacy Python code to pass mypy checks and add type hints?

To refactor legacy Python code, you must implement strict type hinting and integrate validation tools like mypy and Pydantic. This ensures type safety, enforces PEP 8 compliance, and modernizes scripts for Python 3.11+.

What is the best way to optimize FastAPI performance with asyncio?

The best way to optimize FastAPI performance is using asyncio for asynchronous I/O operations. This approach handles web development requests concurrently, improving critical code paths and overall application performance.

Does Python type safety work with Pandas and NumPy for data science tasks?

Python type safety works with Pandas and NumPy by applying strict type hinting to data manipulation tasks. Integrating mypy ensures robust error handling and validation during data science workflows.

Can I use Pydantic for validation in Django web development?

Yes, you can use Pydantic for validation in Django web development. Enforcing strict type hinting and validation with Pydantic ensures robust error handling and idiomatic code across supported frameworks.

Why does my Python script need PEP 8 compliance and mypy validation?

Your Python script needs PEP 8 compliance and mypy validation to ensure high-quality, production-ready code. These practices enforce strict type safety, comprehensive type hinting, and robust error handling for Python 3.11+.