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101mare
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pr-review

Orchestrate parallel AI agent reviews of pull request code diffs.

Updated Aug 23, 2026
Search Tags:#code quality#automation#code review#security#github actions#pr review
One-click install
npx skills add https://github.com/101mare/skill-library --skill pr-review-101mare
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pr-review
Source: https://github.com/101mare/skill-library/tree/main/skills/workflow/pr-review
Command: npx skills add https://github.com/101mare/skill-library --skill pr-review-101mare

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the pull request review process by orchestrating specialized AI agents to analyze code changes, identify potential issues, and provide actionable feedback, ensuring higher code quality before merging.

Core Features & Use Cases

  • Parallel Agent Reviews: Leverages multiple agents (e.g., security, style, test) to review different aspects of a PR simultaneously.
  • Automated Feedback Aggregation: Consolidates findings from all agents into a structured, easy-to-understand report.
  • Verdict Generation: Provides a clear recommendation (Approve, Request Changes) based on the severity of identified issues.
  • Use Case: When a developer submits a pull request, this skill can automatically perform a comprehensive review, flagging critical bugs, security vulnerabilities, and style inconsistencies, allowing the team to merge with confidence.

Quick Start

Use the pr-review skill to review pull request number 123.

Frequently Asked Questions about pr-review

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

FAQPage Schema
How do I automate pull request reviews for code quality and security?▼

Automate pull request reviews by orchestrating specialized AI agents to analyze code diffs in parallel, performing automated code quality checks and security audits before merging. This provides aggregated feedback and a clear verdict to approve or request changes.

Can I scope automated code reviews to specific file types?▼

Automated code reviews can be scoped to specific file types by applying conditional agent selection based on the code changes detected in the pull request diff. This ensures relevant specialized agents analyze the appropriate file formats.

How does parallel agent code review work?▼

Parallel agent code review works by leveraging multiple AI agents, such as security, style, and test agents, to review different aspects of a pull request simultaneously. Findings are consolidated into a structured report with a merge verdict.

What is the best way to generate a merge verdict from a PR review?▼

Generate a merge verdict by consolidating aggregated feedback from specialized AI agents that analyze code diffs. The verdict recommends whether to approve or request changes based on the severity of identified issues like bugs and security vulnerabilities.

Does automated PR review work with GitHub Actions?▼

Automated PR review satisfies requirements for continuous integration by performing code quality checks, security audits, and best practice adherence. It can be triggered to automatically review submitted pull requests and flag critical inconsistencies.

Why should I use specialized agents for code review instead of manual checks?▼

Specialized agents for code review automatically flag critical bugs, security vulnerabilities, and style inconsistencies simultaneously across code diffs. This parallel orchestration provides structured, aggregated feedback faster than manual checks, ensuring higher code quality before merging.

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