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dyad:swarm-pr-review

Coordinate three AI reviewers to analyze GitHub pull requests and output inline comments.

Updated Aug 23, 2026
Search Tags:#workflow#collaboration#github#ai-agent#code-review#pr-review
One-click install
npx skills add https://github.com/HeXx123321/proteaos-demo --skill dyad-swarm-pr-review-hexx123321
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dyad:swarm-pr-review
Source: https://github.com/HeXx123321/proteaos-demo/tree/main/.claude/skills/swarm-pr-review
Command: npx skills add https://github.com/HeXx123321/proteaos-demo --skill dyad-swarm-pr-review-hexx123321

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinates a swarm of specialized AI reviewers to perform team-based PR analyses, producing a consolidated verdict and actionable comments.

Core Features & Use Cases

  • Team-based PR review: Orchestrates three specialized reviewers (correctness, code health, UX) to examine diffs from multiple perspectives.
  • Consensus-driven verdict: Facilitates discussion to reach a final merge decision and generate inline comments.
  • Automation-ready workflow: Outputs a GitHub-ready summary and inline feedback for PRs.
  • Use Case: Ideal for high-stakes PRs requiring thorough correctness, maintainability, and user experience assessment.

Quick Start

Invoke the swarm PR review workflow on your PR in GitHub to generate a three-agent, cross-functional review and final verdict.

Frequently Asked Questions about dyad:swarm-pr-review

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

FAQPage Schema
How do I automate collaborative PR reviews with multiple AI agents on GitHub?▼

Automated collaborative PR review uses a three-agent AI swarm to analyze GitHub diffs, coordinating correctness, code health, and UX reviewers to produce a final verdict and inline comments.

What is a multi-role AI code review and how does it handle complex PR diffs?▼

Multi-role AI code review deploys specialized agents for correctness, code health, and UX to independently examine complex PR diffs, then consolidates their findings into a structured assessment.

Can I use AI to generate inline GitHub comments and a final merge decision for hotfixes?▼

Yes, AI agent workflows generate inline GitHub comments and a consensus-driven merge decision for hotfixes by running cross-functional reviews across three specialized roles.

Does multi-agent PR review work for large feature branches requiring cross-functional assessment?▼

Multi-agent PR review works for large feature branches requiring cross-functional assessment by orchestrating specialized AI teammates to examine diffs from multiple perspectives and output structured findings.

What's the best way to review code health and UX impact simultaneously in a pull request?▼

The best way to review code health and UX impact simultaneously is using a coordinated swarm of AI reviewers that independently assesses maintainability and user experience before reaching consensus.

When should I avoid using an automated swarm for code review?▼

You should avoid using an automated swarm for code review on trivial PRs that do not require cross-functional assessment, as the three-agent workflow is designed for high-stakes, complex diffs.

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