clean-code

Enforce SRP, DRY, KISS, and guard clauses for maintainable code.

42|3|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/pratikrath126/ai-image-detector --skill clean-code-pratikrath126
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code
Source: https://github.com/pratikrath126/ai-image-detector/tree/main/.agent/kit-skills/clean-code
Command: npx skills add https://github.com/pratikrath126/ai-image-detector --skill clean-code-pratikrath126

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pragmatic coding standards help teams produce concise, direct, maintainable code by avoiding noise, unnecessary comments, and over-engineering.

Core Features & Use Cases

  • SRP and DRY to improve readability and maintainability.
  • KISS and YAGNI to prevent feature creep and unnecessary complexity.
  • Before Editing ANY File guidelines to ensure predictable changes.

Quick Start

Audit a sample function for SRP, guard clauses, and clear naming to apply pragmatic coding standards.

Frequently Asked Questions about clean-code

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

FAQPage Schema
How do I enforce clean code standards for functions and classes?

Enforce clean code standards by applying SRP, DRY, KISS, and guard clauses to functions, classes, and modules. This ensures disciplined, maintainable code by checking naming rules and structure patterns during proactive editing.

What is the best way to apply guard clauses and single responsibility to existing code?

The best way to apply guard clauses and single responsibility is auditing a sample function to refactor its structure. Enforcing these pragmatic coding practices reduces unnecessary complexity and improves overall maintainability.

How does the DRY principle improve code maintainability?

The DRY principle improves code maintainability by eliminating redundant logic across software projects. Combined with SRP and KISS, it produces concise, direct code that avoids noise and prevents feature creep.

When do I need coding standards to prevent over-engineering in my project?

You need coding standards to prevent over-engineering when facing feature creep and unnecessary complexity. Applying YAGNI and KISS keeps your codebase predictable by avoiding unnecessary comments and noise.

Can I use these refactoring rules before editing any file in a software project?

Yes, you can use these refactoring rules before editing any file to ensure predictable changes. Following proactive editing checks for naming conventions and structure patterns maintains disciplined, reliable code.

Why does enforcing naming conventions and structure patterns matter for code quality?

Enforcing naming conventions and structure patterns matters for code quality because it improves readability and maintainability. Pragmatic coding standards help teams produce concise, direct code by avoiding noise and unnecessary comments.