code-reviewer

Automate code quality reviews for pull requests across multiple languages.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/yuridefranca/ai-prompts --skill code-reviewer-yuridefranca
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/yuridefranca/ai-prompts/tree/main/src/skills/code-reviewer
Command: npx skills add https://github.com/yuridefranca/ai-prompts --skill code-reviewer-yuridefranca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comprehensive code quality reviews ensure security, performance, maintainability, and adherence to best practices before merging, reducing technical debt and post-release risk.

Core Features & Use Cases

  • Security and vulnerability assessments across changed code paths for PRs.
  • Performance and maintainability checks aligned with SOLID principles.
  • Guidance with actionable remediation steps in PR reviews.

Quick Start

Review a pull request and generate a structured code-quality report with actionable fixes.

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 review for security flaws and anti-patterns in pull requests?

Code review automation scans changed code paths across frontend and backend codebases to identify security flaws. It assesses vulnerability risks and enforces checks to prevent regressions before merging.

What does a maintainability and SOLID principles check look for in changed code paths?

Maintainability checks evaluate changed code paths against SOLID principles to identify architectural violations and performance risks. This enforces design best practices and reduces technical debt accumulation.

Can I use automated code quality checks on large refactors across multiple languages?

Automated code quality checks support varying change sizes from small patches to large refactors across multiple languages. They enforce test coverage and documentation integrity for frontend and backend codebases.

What is the best way to identify regression risk and performance bottlenecks before merging?

Comprehensive code reviews identify regression risk and performance bottlenecks by scanning changed code paths for anti-patterns. They provide actionable remediation guidance to resolve issues before merging.

Does automated code review work with both frontend and backend codebases?

Automated code review works across frontend and backend codebases supporting multiple languages. It applies security, performance, and maintainability checks to pull requests regardless of change size.