review-pr-multiagent

Automate multi-agent code review for GitLab merge requests using Claude and Gemini models.

2|Updated Feb 16, 2026

Search Tags:#code review #claude #multi-agent #AI #gemini #gitlab #merge request

Ready to run

npx skills add https://github.com/dmzoneill/skills --skill review-pr-multiagent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-pr-multiagent
Source: https://github.com/dmzoneill/skills/tree/main/review-pr-multiagent
Command: npx skills add https://github.com/dmzoneill/skills --skill review-pr-multiagent

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the comprehensive review of code changes in merge requests by leveraging specialized AI agents, ensuring higher code quality and faster feedback cycles.

Core Features & Use Cases

Multi-Agent Analysis: Utilizes distinct AI agents (Architecture, Security, Performance, Testing, Documentation, Style) for in-depth code evaluation.
Automated Feedback: Synthesizes agent findings into a single, actionable review and posts it directly to the merge request.
Use Case: When submitting a complex feature to a GitLab merge request, use this Skill to get a detailed, multi-faceted review from AI agents before human review.

Quick Start

Use the review-pr-multiagent skill to review merge request ID 1234.

Frequently Asked Questions about review-pr-multiagent

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

FAQPage Schema

How do I automate code review for GitLab merge requests using AI?▼

You can automate merge request code review by using multi-agent AI to analyze architecture, security, performance, testing, documentation, and style. The synthesized feedback is then posted directly to the GitLab merge request.

What is multi-agent AI code review and how does it work?▼

Multi-agent AI code review assigns specialized agents to evaluate distinct aspects of code changes, such as security and performance. Each agent analyzes the code independently, and the findings are synthesized into a single, actionable review.

Can I use Claude and Gemini models together for automated code analysis?▼

Yes, this multi-agent code review approach utilizes both Claude and Gemini models to perform comprehensive analysis of code changes across multiple dimensions including architecture, security, and documentation.

What's the best way to review complex feature code before human review?▼

Running a multi-agent AI code review on complex features provides a detailed, multi-faceted evaluation covering architecture, security, performance, and style compliance before a human reviewer ever sees the merge request.

Does multi-agent code review require any specific dependencies or setup?▼

No specific dependencies are required to run this multi-agent code review skill. It operates using scripts and references to analyze merge requests and post synthesized feedback directly to GitLab.