review

Review codebases and pull requests for architecture, scalability, performance, security, and maintainability.

18|4|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/louisbrulenaudet/monorepo-template --skill review-louisbrulenaudet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/louisbrulenaudet/monorepo-template/tree/main/.agents/skills/review
Command: npx skills add https://github.com/louisbrulenaudet/monorepo-template --skill review-louisbrulenaudet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the lack of consistency and depth in technical reviews by providing a structured, multi-dimensional analysis of codebases, pull requests, and documentation.

Core Features & Use Cases

  • Multi-Dimension Analysis: Evaluates architecture, scalability, performance, security, maintainability, and CI/CD pipelines.
  • Actionable Planning: Converts findings into a prioritized, scannable plan categorized by Critical, Improvements, and Optional items.
  • Use Case: Use this during a pull request to ensure your changes align with monorepo standards, security best practices, and performance requirements before merging.

Quick Start

Run the review skill on the current codebase to generate a comprehensive technical improvement plan.

Frequently Asked Questions about review

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

FAQPage Schema
What is a multi-dimensional code review and what does it evaluate?

A multi-dimensional code review evaluates architecture, scalability, performance, security, and maintainability against project-specific conventions. It analyzes pull requests and codebases to ensure production-grade standards before merging changes.

How do I perform a technical audit on a pull request before merging?

Perform a technical audit by running a comprehensive review skill on your current codebase. This evaluates CI/CD pipelines, security best practices, and performance requirements, generating a structured improvement plan categorized by severity and impact.

Does code review work with monorepo standards and project-specific conventions?

Yes, code review works with monorepo standards by evaluating changes against project-specific conventions and artifacts. It ensures your pull requests align with defined architecture, security best practices, and performance requirements before integration.

What's the best way to structure actionable code review findings for developers?

The best way to structure code review findings is by categorizing them into Critical, Improvements, and Optional items. This prioritized, scannable plan converts technical audit results into actionable improvements based on severity and impact.

Can I use automated code review for CI/CD pipeline evaluation?

Yes, you can use automated code review for CI/CD pipeline evaluation. The review process assesses pipelines alongside architecture, scalability, and security to ensure production-grade standards are met across the entire deployment workflow.

When should I not use an automated pull request review?

You should avoid automated pull request review when lacking defined project-specific conventions or artifacts for comparison. The review relies on evaluating code against existing standards, so without baseline architecture or best practices, the analysis may lack actionable depth.