clean-code

Enforce pragmatic coding standards for function design, naming, and error handling.

8|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/MisonL/Ling --skill clean-code-misonl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code
Source: https://github.com/MisonL/Ling/tree/main/.agents/skills/clean-code
Command: npx skills add https://github.com/MisonL/Ling --skill clean-code-misonl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pragmatic coding standards help developers avoid over-engineering, reduce noise from unnecessary comments, and produce code that is easier to read, test, and maintain.

Core Features & Use Cases

  • SRP, DRY, KISS, YAGNI, and Boy Scout principles drive simple, focused designs.
  • Clear naming rules and concise function guidelines improve readability and collaboration.
  • Use Cases: refactor legacy modules to remove redundant logic and introduce guard clauses for early returns.

Quick Start

Apply these rules in your codebase by auditing functions and refactoring toward SRP, DRY, and KISS.

Frequently Asked Questions about clean-code

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

FAQPage Schema
What are pragmatic coding standards for clean code?

Pragmatic coding standards are rules enforcing SRP, DRY, KISS, and YAGNI principles to reduce bugs, avoid over-engineering, and improve software maintainability. They guide function design, naming, and error handling for typical projects and teams.

How do I refactor legacy modules to improve code quality?

Refactor legacy modules by auditing functions to remove redundant logic, applying SRP to ensure focused designs, and introducing guard clauses for early returns. This process reduces noise from unnecessary comments and produces code easier to read and test.

When do I need to apply SRP and DRY principles in software engineering?

Apply SRP and DRY principles when functions handle multiple responsibilities or contain duplicated logic. Using these coding standards during function design ensures simple, focused designs that improve readability and collaboration across teams.

What is the best way to avoid over-engineering and anti-patterns in code?

The best way to avoid over-engineering is applying KISS and YAGNI principles alongside clear naming rules and small functions. These coding standards drive simple designs and explicitly target anti-pattern avoidance to ensure maintainable code.

Does this approach to clean code work for typical software projects and teams?

Yes, these coding standards apply directly to typical software projects and teams. They guide function design, naming, error handling, and anti-pattern avoidance, helping developers produce clean, maintainable code without unnecessary complexity.

Why should I use guard clauses and small functions for clean code?

Use guard clauses and small functions to improve readability and simplify logic flow. These coding standards enforce early returns and concise function guidelines, reducing bugs and making modules easier to test and maintain.