What are the three main review categories?

The skill focuses on Comment Optimization (removing redundant documentation), Magic Number Detection (replacing literals with constants), and Structure Improvement (identifying dead code and guard clauses).

Can I use this for Pull Request (PR) reviews?

Yes, it is specifically optimized for PR workflows and general code quality checks to ensure maintainability before merging code.

How are the review results prioritized?

Results are classified into three levels: Blocking (must fix immediately), Should Fix (highly recommended), and Nice to Have (optional suggestions for better quality).

Which programming languages does this skill support?

This skill is designed to be language-agnostic, applying universal clean code principles and structural best practices to any programming language.

Professional Code Reviewer

Name: Professional Code Reviewer
Author: DIO0550

byDIO0550

•

协作工具

Performs language-agnostic code reviews focused on comment optimization, literal detection, and structural refactoring.

This skill provides a standardized framework for conducting comprehensive code reviews across any programming language. It automates the detection of common code smells by focusing on three core pillars: optimizing comments to emphasize intent over mechanics, identifying and naming magic numbers for better context, and improving structural integrity through patterns like guard clauses and dead code elimination. By categorizing feedback into clear severity levels—Blocking, Should Fix, and Nice to Have—it helps developers prioritize refactoring efforts and maintain high-quality codebases during the development and Pull Request process.

主要功能

011 GitHub stars

02Comment optimization to reduce noise and emphasize 'why' over 'how'

03Language-agnostic code quality analysis

04Automated detection of magic numbers and string literals

05Severity-based feedback categorization (Blocking, Should Fix, Nice to Have)

06Structural improvement suggestions including Guard Clauses and Dead Code removal

使用场景

01Automating initial code reviews for Pull Requests to catch common quality issues

02Standardizing code quality checks across teams using multiple programming languages

03Refactoring legacy codebases for improved readability and maintainability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dio0550/d-market code-review-skill

For use in Claude.ai and ChatGPT

Download Skill