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.