agent-teams-review

Orchestrate collaborative code review with specialized AI agents and generate actionable reports.

3|Updated Oct 20, 2025

Search Tags:#code review #collaboration #pull request #security #frontend #backend #ai agents

Ready to run

npx skills add https://github.com/mrstroz/claude-code-plugins --skill agent-teams-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-teams-review
Source: https://github.com/mrstroz/claude-code-plugins/tree/main/agent-teams-review/skills/agent-teams-review
Command: npx skills add https://github.com/mrstroz/claude-code-plugins --skill agent-teams-review

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex and time-consuming process of code review by leveraging a team of specialized AI agents, ensuring comprehensive analysis and professional reporting.

Core Features & Use Cases

Multi-Agent Collaboration: Spawns a team of AI reviewers (Backend, Frontend, Security, etc.) that communicate and share findings.
AI Slop Detection: Identifies and scores code that appears to be generated by AI without proper human oversight.
Professional Reporting: Generates a detailed report including an executive summary, AI Slop score, cross-reviewer findings, and a clear verdict.
Use Case: When you need to review a Pull Request, this Skill will deploy a team of AI experts to thoroughly examine the code, identify potential issues from various perspectives, and provide a consolidated, actionable report.

Quick Start

Use the agent-teams-review skill to review the current pull request against the main branch.

Frequently Asked Questions about agent-teams-review

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

FAQPage Schema

How do I automate pull request code review using AI agents?▼

Automated pull request code review uses a team of specialized AI agents to analyze code changes across multiple domains, identify issues, and produce an actionable report with an executive summary and clear verdict.

What is AI Slop detection in code review?▼

AI Slop detection in code review identifies and scores code that appears to be generated by AI without proper human oversight, helping maintain quality by flagging unverified automated code changes for further inspection.

How does multi-agent code review handle frontend and backend analysis?▼

Multi-agent code review handles frontend and backend analysis by spawning specialized AI reviewers that communicate and share findings, providing cross-reviewer insights for a comprehensive examination of file types and content.

Can I conditionally select AI reviewers based on file types in a pull request?▼

Conditional reviewer selection based on file types and content is supported, allowing the code review process to deploy relevant specialized AI agents for targeted analysis of specific code changes.

What does a professional AI code review report include?▼

A professional AI code review report includes an executive summary, AI Slop score, cross-reviewer findings from the specialized agents, and a clear verdict to guide actionable next steps.

Does multi-agent code review work without external dependencies?▼

The multi-agent code review process runs without external dependencies, using internal scripts and references to orchestrate the collaborative analysis and generate the final professional report.