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dyad:swarm-pr-review

Coordinate three specialized teammates to review PR diffs and post a consensus summary.

2|Updated Jan 14, 2026
Search Tags:#github#swarm#code-review#ai-agents#team-collaboration#pull-request#pr-review
One-click install
npx skills add https://github.com/pavan53732/Exacta-App-Studio --skill dyad-swarm-pr-review-pavan53732
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dyad:swarm-pr-review
Source: https://github.com/pavan53732/Exacta-App-Studio/tree/main/.claude/skills/swarm-pr-review
Command: npx skills add https://github.com/pavan53732/Exacta-App-Studio --skill dyad-swarm-pr-review-pavan53732

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinating multi-person PR reviews can be slow and error-prone. This skill automates a swarm-based review by deploying three specialized AI teammates who discuss the PR diff, identify issues, and converge on a shared verdict.

Core Features & Use Cases

  • Automated multi-agent PR review: spawns correctness, code health, and UX experts to review the diff from their perspectives.
  • Consensus-driven output: teammates discuss findings to reach a final summary and inline comments for HIGH/MEDIUM issues.
  • End-to-end PR workflow support: fetches PR data and existing comments, creates a Team and Review, and posts the final results back to GitHub.

Quick Start

Instruct the swarm to review PR #<PR_NUMBER> in <OWNER/REPO> and return a merged verdict with inline comments.

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 pull request reviews using AI agents?▼

Automated AI agents can review pull requests by spawning specialized teammates to analyze PR diffs, discuss findings, and post a consensus summary with inline comments back to GitHub.

What is a swarm-based code review and how does it work?▼

A swarm-based code review deploys multiple specialized AI agents, such as correctness, code health, and UX experts, to independently review a PR diff and converge on a shared merge verdict.

How do I run a multi-agent PR review on a GitHub repository?▼

To run a multi-agent PR review, you instruct the swarm with the PR number and repository owner/name, allowing the agents to fetch data, gather comments, and post the final review results.

Can AI agents evaluate code correctness and UX in the same pull request?▼

Yes, collaborative AI swarms can evaluate both code correctness and UX simultaneously by spawning role-specific teammates who analyze the PR diff from their distinct perspectives before reaching a consensus.

Does automated PR review work with existing GitHub comments?▼

Yes, the swarm-based review process fetches existing PR comments alongside the diff, incorporating current discussions into the teammates' analysis before posting the final summary and merge decision.

What are the limitations of using AI teammates for code review?▼

AI teammate code reviews focus specifically on correctness, code health, and UX perspectives, generating inline comments only for HIGH or MEDIUM issues and providing a final merge verdict rather than executing the merge.

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