clean-code

Enforce pragmatic coding standards with naming, function, and structure rules.

24|3|Updated Jan 30, 2026

Search Tags:#code quality #software engineering #clean code #coding standards #pragmatic programming

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npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp --skill clean-code-vodailocz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: clean-code
Source: https://github.com/VoDaiLocz/kilo-kit-mcp/tree/main/skills/engineering/clean-code
Command: npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp --skill clean-code-vodailocz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps to enforce pragmatic coding standards and ensures code quality by promoting concise, direct, and solution-focused coding practices.

Core Features & Use Cases

Core Principles: Follows principles like Single Responsibility, Don't Repeat Yourself, Keep It Simple, You Aren't Gonna Need It, and Boy Scout.
Naming Rules: Standardizes variable, function, boolean, and constant naming conventions.
Function Rules: Ensures functions are small, focused, have a single level of abstraction, and minimal arguments.
Code Structure: Encourages use of guard clauses, flat structures, composition, and colocation.
AI Coding Style: Offers guidance for interacting with users and handling requirements and bugs.
Anti-Patterns: Identifies and recommends fixes for common coding mistakes.

Quick Start

To ensure code quality, apply the Clean Code Skill by adhering to its principles and rules.

Frequently Asked Questions about clean-code

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

FAQPage Schema

How do I enforce coding standards and improve code quality in my software engineering workflow?▼

To enforce coding standards and improve code quality, apply pragmatic principles like SRP, DRY, KISS, and YAGNI. This ensures code remains concise, direct, and solution-focused by standardizing naming conventions, function rules, and structural guidelines.

What are the best practices for writing clean code and avoiding common anti-patterns?▼

Best practices for writing clean code involve keeping functions small, focused, and using guard clauses. Avoiding common anti-patterns requires adhering to the Boy Scout rule, maintaining a single level of abstraction, and minimizing function arguments.

Does this approach to pragmatic programming work with my existing software development workflows?▼

Yes, this approach to pragmatic programming integrates directly into existing software development workflows. It provides coding style guidance for handling requirements and bugs without requiring additional dependencies or environment setup.

How do I standardize naming conventions and code structure for better readability?▼

Standardize naming conventions and code structure by applying specific rules for variables, functions, booleans, and constants. Improve readability by enforcing flat structures, composition, and colocation alongside strict function boundaries.

Why should I use pragmatic programming principles over other coding standards?▼

Pragmatic programming principles target solution-focused code by enforcing concise and direct practices. Unlike generic standards, it identifies specific anti-patterns and recommends fixes, ensuring high code quality through established rules like DRY and KISS.

What are the limitations of applying clean code principles to complex software engineering projects?▼

Limitations of applying clean code principles involve balancing strict rules like minimal arguments and single responsibility with complex project requirements. Developers must carefully interpret guidelines to avoid over-engineering while maintaining solution-focused code.