code-reviewer

Analyze pull requests for complexity, risk, and code quality issues.

1|Updated Feb 19, 2026
One-click install
npx skills add https://github.com/mcauduro0/Macro_Trading --skill code-reviewer-mcauduro0
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/mcauduro0/Macro_Trading/tree/main/.claude/skills/alireza-code-reviewer
Command: npx skills add https://github.com/mcauduro0/Macro_Trading --skill code-reviewer-mcauduro0

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the tedious and time-consuming process of reviewing code, ensuring higher quality, identifying potential risks, and enforcing coding standards across multiple languages.

Core Features & Use Cases

  • PR Analysis: Assesses pull requests for complexity, risk, and adherence to best practices.
  • Code Quality Checks: Detects code smells, SOLID violations, and potential bugs.
  • Report Generation: Creates structured review reports for clear action items.
  • Use Case: Integrate this Skill into your CI/CD pipeline to automatically flag issues in pull requests before human review, saving developer time and improving codebase health.

Quick Start

Use the code-reviewer skill to analyze the current pull request for issues.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate code reviews for pull requests in multiple programming languages?

Automate code reviews by analyzing pull requests for complexity and risk across TypeScript, JavaScript, Python, Go, Swift, and Kotlin. The tool checks code quality for SOLID violations and code smells, generating structured review reports for clear action items.

Can I integrate automated code quality checks into a CI/CD pipeline?

Yes, you can integrate automated code quality checks into a CI/CD pipeline to flag issues in pull requests before human review. This detects code smells and SOLID violations early, saving developer time and improving codebase health.

What programming languages are supported by automated static analysis for code review?

Automated static analysis supports TypeScript, JavaScript, Python, Go, Swift, and Kotlin. It assesses pull requests for complexity, risk, and adherence to best practices across these languages.

How do I generate a review checklist for code smells and SOLID violations?

Generate a review checklist by analyzing code quality for code smells and SOLID violations. The tool produces structured review reports that identify potential issues and provide clear action items for developers.

Do I need Python to run automated code review and pull request analysis?

Yes, Python is a required dependency to run the automated code review scripts. The environment must have Python installed to execute the pull request analysis and generate review reports.

What is the best way to identify potential bugs and risks in a pull request?

The best way to identify potential bugs and risks is by using automated pull request analysis to assess complexity and check code quality. It detects SOLID violations and code smells, creating comprehensive reports for clear action items.