clean-code-ch01-clean-code

Detect clean-code violations and generate prioritized remediation plans.

4|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch01-clean-code
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clean-code-ch01-clean-code
Source: https://github.com/hatlesswizard/clean-code-skills/tree/main/ch01-clean-code
Command: npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch01-clean-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Teams struggle to maintain readable, maintainable code as codebases grow; this tool systematically checks for clean-code violations like duplication, long methods, unclear naming, excessive dependencies, and missing tests, helping teams elevate code quality.

Core Features & Use Cases

  • Automated health checks: Detect duplication, long methods, poor naming, excessive dependencies, and missing tests across the codebase.
  • Remediation guidance: Provide actionable steps and patterns to improve readability, modularity, and test coverage.
  • Use Case: During a PR review, run the checker to surface smoking-gun issues and a prioritized fix list for the touched modules.

Quick Start

Scan your repository root to generate a clean-code health report and prioritized remediation plan.

Frequently Asked Questions about clean-code-ch01-clean-code

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

FAQPage Schema
How do I check my codebase for clean code violations during a code review?

Assess code quality during pull requests by scanning touched modules to detect duplication, long methods, unclear naming, and missing tests. The checker surfaces smoking-gun issues and outputs a prioritized fix list to guide improvements.

What are the most common clean code issues to look for when refactoring legacy code?

Common clean code issues in legacy refactors include duplication, long methods, unclear naming, excessive dependency footprints, and missing test coverage. Identifying these violations helps prioritize remediation steps to elevate overall code readability and maintainability.

Can I automatically detect code duplication and poor naming across my repository?

Yes, you can automatically detect code duplication and poor naming by running automated health checks across your repository. The scan evaluates the codebase against clean-code standards and generates actionable remediation guidance to improve modularity.

Does this clean code checker provide actionable steps to fix long methods and missing tests?

Yes, the clean code checker provides actionable remediation guidance and patterns to fix long methods and missing tests. It systematically evaluates the codebase and outputs a prioritized list of steps to improve readability, modularity, and test coverage.

What is the best way to enforce clean code standards for new developers during onboarding?

The best way to enforce clean code standards during onboarding is to scan the repository to generate a health report. This familiarizes new developers with code quality rules by highlighting existing violations and providing actionable remediation guidance.