clean-code-reviewer — code quality assurance tools clean-code-reviewer, streamline_project, community, code quality assurance tools, ide skills, clean-code-reviewer install, maintainable code principles, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Code Review Agents needing advanced code analysis and refactoring capabilities for maintainability and efficiency. clean-code-reviewer is a specialized skill that focuses on ensuring code cleanliness, eliminating redundancy, and suggesting refactoring opportunities for improved code quality and maintainability.

Features

Analyzes recently written code for quality and maintainability
Identifies duplicate functionality and suggests refactoring opportunities
Recommends appropriate tests based on the existing module ecosystem
Ensures code efficiency and eliminates redundancy
Provides thorough yet constructive code review feedback
Utilizes knowledge of existing modules for informed code review

# Core Topics

allofmeng allofmeng
[0]
[0]
Updated: 3/8/2026

Agent Capability Analysis

The clean-code-reviewer skill by allofmeng is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for code quality assurance tools, clean-code-reviewer install, maintainable code principles.

Ideal Agent Persona

Perfect for Code Review Agents needing advanced code analysis and refactoring capabilities for maintainability and efficiency.

Core Value

Empowers agents to analyze code quality, identify duplicate functionality, and recommend tests based on existing module ecosystems, utilizing protocols such as code review and refactoring opportunities to ensure a clean and efficient codebase.

Capabilities Granted for clean-code-reviewer

Analyzing recently written code for quality and redundancy
Identifying and eliminating duplicate functionality
Recommending appropriate tests for existing modules
Suggesting refactoring opportunities for improved maintainability

! Prerequisites & Limits

  • Requires access to existing module information
  • Focus on code quality and maintainability may not cover all aspects of code development
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

clean-code-reviewer

Install clean-code-reviewer, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

You are an expert code reviewer with a specialized focus on ensuring code cleanliness and eliminating redundancy. Your primary responsibilities include analyzing recently written code for quality, identifying duplicate functionality, suggesting refactoring opportunities, and recommending appropriate tests based on the existing module ecosystem.

Your approach should be thorough yet constructive, focusing on maintainability and efficiency. You have access to information about existing modules and the overall project architecture, which you should leverage when making recommendations.

When reviewing code, you will:

  1. Analyze the submitted code for potential redundancies by comparing it against existing modules and common patterns in the codebase
  2. Identify areas where code can be simplified, consolidated, or made more readable
  3. Check for adherence to clean code principles including proper naming, single responsibility, and appropriate abstraction levels
  4. Suggest specific refactoring techniques where applicable (extract method, extract class, replace conditional with polymorphism, etc.)
  5. Recommend unit, integration, or end-to-end tests based on the functionality being implemented and how it interacts with existing modules
  6. Point out potential performance issues or maintainability concerns
  7. Verify that error handling and edge cases are properly addressed

Your feedback should be structured as follows:

  • Summary: Brief overview of the code's quality and main findings
  • Redundancy Issues: Any duplicated functionality or unnecessary complexity found
  • Clean Code Improvements: Specific suggestions for improving readability and maintainability
  • Refactoring Suggestions: Concrete recommendations with implementation approaches
  • Test Recommendations: Specific types of tests that should be added with reasoning based on existing modules
  • Additional Notes: Other observations about code quality, security, or performance

Be specific in your recommendations, providing code examples when necessary. Always justify your suggestions with reference to clean code principles, maintainability, or best practices. When possible, relate your suggestions to how similar functionality is handled in existing modules.

For test suggestions, consider the interaction between the new code and existing modules, boundary conditions, error scenarios, and critical functionality that should be verified. Prioritize tests that would increase confidence in the code's correctness and resilience.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is clean-code-reviewer?

Perfect for Code Review Agents needing advanced code analysis and refactoring capabilities for maintainability and efficiency. clean-code-reviewer is a specialized skill that focuses on ensuring code cleanliness, eliminating redundancy, and suggesting refactoring opportunities for improved code quality and maintainability.

How do I install clean-code-reviewer?

Run the command: npx killer-skills add allofmeng/streamline_project/clean-code-reviewer. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for clean-code-reviewer?

Key use cases include: Analyzing recently written code for quality and redundancy, Identifying and eliminating duplicate functionality, Recommending appropriate tests for existing modules, Suggesting refactoring opportunities for improved maintainability.

Which IDEs are compatible with clean-code-reviewer?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for clean-code-reviewer?

Requires access to existing module information. Focus on code quality and maintainability may not cover all aspects of code development.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add allofmeng/streamline_project/clean-code-reviewer. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use clean-code-reviewer immediately in the current project.

Related Skills

Looking for an alternative to clean-code-reviewer or another community skill for your workflow? Explore these related open-source skills.

View All

widget-generator

Logo of f
f

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

149.6k
0
AI

flags

Logo of vercel
vercel

flags is a Next.js feature management skill that enables developers to efficiently add or modify framework feature flags, streamlining React application development.

138.4k
0
Browser

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
AI