py-modern

Modernize Python projects with version-appropriate syntax and type system upgrades.

1|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/stevenke1981/python_skills --skill py-modern
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: py-modern
Source: https://github.com/stevenke1981/python_skills/tree/main/py-modern
Command: npx skills add https://github.com/stevenke1981/python_skills --skill py-modern

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of upgrading legacy Python codebases to modern standards while ensuring compatibility with specific Python versions from 3.10 to 3.14+.

Core Features & Use Cases

  • Version Migration: Provides structured guidance for adopting PEP 695 generics, PEP 701 f-strings, and other version-specific syntax.
  • Type System Enhancement: Offers strategies for implementing modern typing features like override, TypeIs, and ReadOnly.
  • Performance & Concurrency: Evaluates the feasibility of free-threaded CPython and experimental JIT features for specific project requirements.

Quick Start

Use the py-modern skill to analyze the current project requirements and suggest a migration path for upgrading to Python 3.14 while maintaining backward compatibility.

Frequently Asked Questions about py-modern

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

FAQPage Schema
How do I modernize Python projects to use version 3.14 syntax features?

Modernize Python projects by adopting version-specific syntax improvements like PEP 701 f-strings and PEP 695 generics. It analyzes project requirements to provide a structured migration path while maintaining backward compatibility.

What is the best way to upgrade legacy Python typing to modern standards?

Upgrading legacy Python typing involves implementing modern type system features like override, TypeIs, and ReadOnly. This Skill offers structured strategies to enhance your type system while ensuring compatibility through static analysis.

Can I use free-threaded CPython and experimental JIT features for performance refactoring?

Evaluating free-threaded CPython and experimental JIT features is supported for performance and concurrency tasks. It assesses the feasibility of these runtime introspection adjustments based on specific project requirements.

Does the Python migration process handle deprecation cleanup and CI matrix validation?

Python migration ensures code compatibility through static analysis, CI matrix validation, and deprecation cleanup. This approach targets migration tasks for Python 3.12 through 3.14 to guarantee version-appropriate stability.

When do I need to implement PEP 695 generics and override typing in Python?

Implementing PEP 695 generics and override typing is needed when modernizing Python projects to version 3.12 through 3.14+. It provides version-appropriate language feature upgrades for legacy codebases.

How to handle backward compatibility when migrating Python to 3.14?

Handling backward compatibility during Python 3.14 migration requires static analysis and CI matrix validation. It ensures code compatibility by cleaning up deprecations and targeting version-specific runtime introspection adjustments.