ai-pr-reviewer

Automate Azure DevOps PR reviews with batched parallel sub-agents.

1|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cuteribs/vibe-marketplace --skill ai-pr-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-pr-reviewer
Source: https://github.com/cuteribs/vibe-marketplace/tree/main/plugins/ai-pr-reviewer/skills/ai-pr-reviewer
Command: npx skills add https://github.com/cuteribs/vibe-marketplace --skill ai-pr-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Azure DevOps PR reviews are often lengthy and error-prone. This skill automates the analysis, batching, and commenting process to ensure thorough, repeatable PR reviews without manual drift.

Core Features & Use Cases

  • Automated PR analysis: Detects changed files, infers tech stacks, and applies relevant coding guidelines.
  • Batch-based review: Groups files into batches by tech stack and token-budget constraints for parallel, scalable reviews.
  • Parallel sub-agents & auto-commenting: Spawns multiple reviewers to comment on batches and posts negative findings back to the PR, with a final summary.
  • Mode support: Uses Simple mode for fast, file-based review or Full mode for deeper context with full repo cloning.

Quick Start

Provide a PR URL and optional MODE to begin an automated Azure DevOps PR review.

Frequently Asked Questions about ai-pr-reviewer

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

FAQPage Schema
How do I automate Azure DevOps PR reviews for large pull requests with many files?

You can automate Azure DevOps PR reviews by providing a PR URL to trigger batching by tech stack, running parallel sub-agents, and posting negative findings back to the PR with a final summary.

What is the difference between simple and full mode for automated code reviews?

Simple mode performs fast, file-based review, while full mode clones the full repository to provide deeper context for analyzing the PR changes.

How does parallel execution handle batching for code review in Azure DevOps?

Parallel execution groups changed files into batches by tech stack and token-budget constraints, spawning multiple sub-agents to review simultaneously for scalable processing.

Can I use MCP integration to fetch PR data for automated pull request analysis?

Yes, the skill fetches PR data via MCP integration to detect changed files, infer tech stacks, and apply relevant coding guidelines before posting comments.

What is the best way to handle lengthy and error-prone Azure DevOps PR reviews?

Automating the analysis, batching, and commenting process ensures thorough, repeatable PR reviews without manual drift, directly posting negative comments back to the PR.