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clean-functions

Refactor complex Python functions to three or fewer arguments with pure helpers.

2|1|Updated Mar 20, 2026
Search Tags:#python#readability#refactor#best-practices#functions#code-cleanup#single-responsibility
One-click install
npx skills add https://github.com/proven-xyz/proven-app --skill clean-functions-proven-xyz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-functions
Source: https://github.com/proven-xyz/proven-app/tree/main/.agents/skills/clean-functions
Command: npx skills add https://github.com/proven-xyz/proven-app --skill clean-functions-proven-xyz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Refactoring and reviewing Python functions to reduce size, minimize arguments, limit side effects, and enforce single-responsibility, making code easier to read and maintain.

Core Features & Use Cases

  • Focused cleanup of individual functions to improve readability and reduce cognitive load.
  • Guidance to split large functions, replace with data classes, and extract helpers without broad architectural changes.
  • Real-world scenario: transform a multi-purpose function into smaller pure helpers with clear responsibilities.

Quick Start

Refactor a single Python function to reduce its arguments to three or fewer and extract side-effect-free helpers, then review with the team.

Frequently Asked Questions about clean-functions

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

FAQPage Schema
How do I refactor Python functions to reduce arguments and improve readability?▼

To refactor Python functions and improve readability, split large functions into smaller pure helpers with clear single-responsibility. Extract data classes to group arguments, enforcing a three-argument limit while preserving external behavior during iterative code cleanup.

What is the best way to enforce single-responsibility in legacy Python code?▼

Enforcing single-responsibility in legacy Python code involves transforming multi-purpose functions into smaller, side-effect-free helpers. This refactoring approach minimizes side effects and reduces cognitive load without requiring broad architectural changes to the module.

How do I minimize side effects when cleaning up Python functions?▼

To minimize side effects when cleaning up Python functions, extract side-effect-free helpers and replace complex argument groups with data classes. This ensures external behavior is preserved during iterative refactors, making the codebase easier to maintain.

Can I use this refactoring approach for medium-sized Python codebases?▼

Yes, this refactoring approach applies to small to medium-sized Python codebases. It is designed for focused cleanup of individual functions during code reviews or gradual cleanup of legacy modules, ensuring maintainability without broad architectural modifications.

Why does my Python function need to be split into helpers during a code review?▼

A Python function needs to be split into helpers during a code review to reduce cognitive load and enforce a three-argument limit. Extracting helpers promotes single-responsibility and minimizes side effects, directly improving readability and maintainability.

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