clean-code

Enforce SRP, DRY, and KISS standards for AI-generated code.

5|2|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/umairinayat/Specter-AI --skill clean-code-umairinayat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code
Source: https://github.com/umairinayat/Specter-AI/tree/main/.agent/skills/clean-code
Command: npx skills add https://github.com/umairinayat/Specter-AI --skill clean-code-umairinayat

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pragmatic coding standards guide AI-assisted development to produce readable, maintainable code with minimal fluff.

Core Features & Use Cases

  • Enforces Single Responsibility Principle, DRY, and KISS for functions and components
  • Guides naming, structuring, and minimal commenting to improve readability and maintainability
  • Use Case: teams adopting AI-assisted coding consistently across projects to reduce bugs and review time

Quick Start

Review a sample function for SRP, DRY, and KISS adherence and refactor to align with the clean-code 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 in AI-generated code?

Refactoring AI-generated code for SRP, DRY, and KISS alignment involves evaluating functions and components for minimalism, consistent naming, and minimal commenting to reduce bugs and review time.

What is the Single Responsibility Principle and how does it apply to component structuring?

The Single Responsibility Principle (SRP) is a clean coding standard dictating that each function or component should have only one reason to change, ensuring modularization and reducing fluff in AI-assisted software projects.

Can I use this clean code methodology for existing software projects or only new ones?

You can use this clean code methodology for existing software projects by reviewing sample functions for SRP, DRY, and KISS adherence and refactoring them to align with consistent coding standards and minimalism.

What's the best way to reduce code review time for teams adopting AI-assisted coding?

Applying anti-pattern detection and minimalism guidelines ensures AI-generated code remains readable and maintainable, consistently reducing bugs and review time across software projects.

Why does AI-generated code often violate DRY and KISS principles?

AI-generated code often violates DRY and KISS principles because it lacks pragmatic coding standards, leading to duplicated logic and unnecessary complexity that require refactoring for minimalism and modularization.

Are there limitations to using clean code guidelines for AI-assisted development?

Limitations of using clean code guidelines for AI-assisted development include the barrier of consistently enforcing standards across teams and the need to manually refactor AI output to prevent anti-patterns and ensure maintainability.