python

Generate clean, secure, maintainable Python code with type hints and error handling.

1|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/marcius-llmus/skills --skill python-marcius-llmus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python
Source: https://github.com/marcius-llmus/skills/tree/main/python
Command: npx skills add https://github.com/marcius-llmus/skills --skill python-marcius-llmus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generates clean, secure, and maintainable Python code on demand, including implementations, refactors, bug fixes, typing improvements, error handling, architecture guidance, and PEP 8 cleanup.

Core Features & Use Cases

  • Generate correct, readable Python code with explicit types and small, focused functions.
  • Enforce modern patterns, clear module boundaries, and secure, robust error handling.
  • Use cases include writing new modules, modernizing legacy code, adding type hints, and improving adherence to PEP 8.

Quick Start

Write a concise, well-typed Python function that solves the user’s problem with clear docstrings.

Frequently Asked Questions about python

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

FAQPage Schema
How do I generate Python code that automatically includes type hints and docstrings?

To generate Python code with type hints and docstrings, provide your coding task and the tool will produce clean, maintainable functions with explicit types, clear documentation, and robust error handling.

What is the best way to refactor legacy Python code to comply with PEP 8?

The best way to refactor legacy Python code for PEP 8 compliance is to request a modernization task, which restructures modules, applies modern patterns, and enforces clear boundaries for maintainable output.

Can I get architecture guidance for structuring a new Python module?

Yes, you can request architecture guidance for a new Python module, and the tool will provide recommendations on clear module boundaries, modern patterns, and small, focused function design.

How do I add robust error handling to an existing Python implementation?

To add robust error handling to an existing Python implementation, submit your code for a refactor, and the tool will integrate secure, maintainable error handling alongside typing improvements.

Does this approach support writing secure Python functions from scratch?

Yes, this approach supports writing secure Python functions from scratch by generating correct, readable code that enforces modern patterns and robust security practices on demand.