pr-reviewers

Automate pull request reviews with specialized agents and enforce merge gates.

1|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/jimmymalhan/codereview-pilot --skill pr-reviewers-jimmymalhan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-reviewers
Source: https://github.com/jimmymalhan/codereview-pilot/tree/main/.claude/skills/pr-reviewers
Command: npx skills add https://github.com/jimmymalhan/codereview-pilot --skill pr-reviewers-jimmymalhan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that Pull Requests meet production-level quality standards by simulating a rigorous review process, preventing rushed merges and promoting robust code.

Core Features & Use Cases

  • Multi-faceted Review: Employs specialized reviewer agents (Production, Business, Security, Code, QA) to cover all critical aspects of a PR.
  • Iterative Feedback Loop: Manages comments, fixes, and re-reviews to address all feedback systematically.
  • Test Recommendation: Identifies and suggests necessary tests to ensure comprehensive quality.
  • Merge Gating: Enforces a strict gate based on reviewer consensus, CI status, and recommended tests.
  • Use Case: Before merging a critical feature, this Skill will have it reviewed by multiple experts, ensure all feedback is addressed, and confirm that all recommended tests pass, guaranteeing a high-quality release.

Quick Start

Use the pr-reviewers skill to review the latest pull request and ensure it meets production standards before merging.

Frequently Asked Questions about pr-reviewers

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

FAQPage Schema
How do I automate pull request reviews to ensure production readiness?

Automating pull request reviews for production readiness involves simulating a multi-agent review board that enforces quality checks and consensus before merging. This process manages iterative feedback and recommends necessary tests to guarantee robust code.

What is a multi-agent code review system and how does it work?

A multi-agent code review system simulates a review board using specialized agents for production, business, security, code, and QA. It works by managing the iterative feedback cycle between author and reviewers to enforce strict merge gating based on consensus.

How do I enforce a merge gate based on reviewer consensus and CI status?

Enforcing a merge gate based on reviewer consensus and CI status requires a multi-agent system that checks specialized reviewer approvals and test recommendations. It blocks rushed merges until all quality checks and iterative feedback loops are resolved.

Can I use automated QA and security checks for my pull requests?

Yes, automated QA and security checks for pull requests are handled by specialized reviewer agents within a multi-agent review board. These agents systematically evaluate code, recommend tests, and ensure production readiness before any merge is approved.

What's the best way to manage iterative feedback cycles in pull request reviews?

Managing iterative feedback cycles in pull request reviews is best handled by a multi-agent system that tracks comments, fixes, and re-reviews. This ensures all author and reviewer feedback is systematically addressed before passing final verification.

Does automated production-level code review recommend necessary tests?

Automated production-level code review identifies and suggests necessary tests to ensure comprehensive quality assurance. By simulating a review board, it enforces a strict merge gate that requires all recommended tests to pass before merging.