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nimeshgurung
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code-reviewer

Automate code review with Python scripts for analysis and report generation.

1|Updated Nov 17, 2025
Search Tags:#typescript#quality assurance#code review#code analysis#best practices#security#python
One-click install
npx skills add https://github.com/nimeshgurung/artifact-hub-collections --skill code-reviewer-nimeshgurung
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/nimeshgurung/artifact-hub-collections/tree/main/skills/raw/alirezarezvani/claude-skills/engineering-team/code-reviewer
Command: npx skills add https://github.com/nimeshgurung/artifact-hub-collections --skill code-reviewer-nimeshgurung

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, scikit-learn, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of code review, ensuring adherence to best practices, identifying potential issues, and improving overall code quality across multiple programming languages.

Core Features & Use Cases

  • Automated Code Analysis: Performs deep analysis of code for quality, performance, and security.
  • Best Practice Enforcement: Checks code against established patterns and standards.
  • Review Report Generation: Creates comprehensive reports detailing findings and recommendations.
  • Use Case: When submitting a pull request, use this Skill to automatically analyze the changes, identify any violations of coding standards, and generate a report before human review.

Quick Start

Run the code quality checker script on the current directory.

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 analysis for a pull request?▼

Automate code review by running Python scripts that analyze pull request changes, identify standard violations, and generate detailed review reports before human intervention.

Does automated code review work with TypeScript and Python?▼

Yes, automated code review supports multiple languages including TypeScript, JavaScript, Python, Go, Swift, and Kotlin, analyzing quality, performance, and security across these environments.

How do I identify security issues and enforce best practices in my code?▼

Identify security issues by running the code quality checker script against established patterns, performing deep analysis to enforce quality standards and flag potential vulnerabilities.

Do I need Python and pandas to run automated code analysis?▼

Yes, automated code analysis requires Python and depends on numpy, pandas, and scikit-learn, enabling script execution for quality checking and review report generation.

Can I generate quality assurance reports for multiple programming languages?▼

Generate quality assurance reports by running the analysis script on your current directory, creating comprehensive reports detailing findings and recommendations for supported languages.

What's the best way to check code quality before submitting a pull request?▼

Check code quality by running the quality checker script locally, analyzing changes, identifying coding standard violations, and generating a report to review before submitting.

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