functions

Refactor large functions into small, single-purpose units with minimal arguments.

5|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/onesyntax/skills --skill functions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: functions
Source: https://github.com/onesyntax/skills/tree/main/skills/functions
Command: npx skills add https://github.com/onesyntax/skills --skill functions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers write and refactor small, single-purpose functions to improve readability and maintainability.

Core Features & Use Cases

  • Guided refactoring: Break large functions into smaller, purpose-driven units that align with a single responsibility.
  • Abstraction discipline: Maintain a clear separation between high- and low-level logic to improve readability.
  • Quality guardrails: Enforce best practices like minimal arguments, avoiding flag booleans, and cautious side effects to reduce bugs and facilitate testing.

Quick Start

Start by identifying a function that tries to do multiple things, then extract each responsibility into its own small, well-named function to improve clarity and reuse.

Frequently Asked Questions about functions

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

FAQPage Schema
How do I refactor a large function into smaller, single-purpose functions?▼

To refactor a large function, identify each responsibility it handles and extract them into small, well-named functions. This guided process enforces single responsibility to improve code readability and maintainability.

Why should functions avoid boolean flags and limit arguments to zero or two?▼

Avoiding boolean flags prevents mixed function behaviors, while limiting arguments to zero or two reduces complexity. These clean-code guardrails minimize bugs, clarify purpose, and simplify function testing.

What is the Step-Down Rule for maintaining clean code abstractions?▼

The Step-Down Rule enforces abstraction discipline by separating high-level logic from low-level implementation details. This separation ensures functions read naturally and maintain a clear hierarchy for better code comprehension.

How does command-query separation improve code quality and reduce side effects?▼

Command-query separation improves code quality by isolating functions that change state from those that return data. This prevents hidden side effects, makes execution predictable, and facilitates easier testing.

When do I need to refactor functions for better error handling?▼

You need to refactor functions for better error handling when they mix high- and low-level abstractions across modules. Professional error handling isolates failures within small, single-purpose functions to improve maintainability.