review

Coordinate parallel multi-agent codebase reviews into JSON and Markdown findings.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/jewzaam/jewzaam-reviews --skill review-jewzaam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/jewzaam/jewzaam-reviews/tree/main/skills/review
Command: npx skills add https://github.com/jewzaam/jewzaam-reviews --skill review-jewzaam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jsonschema, and includes scripts (resource) components.

What problem does it solve?

This Skill coordinates a multi-agent codebase review pipeline, enabling parallel analysis across multiple dimensions and consolidating insights into a single actionable report.

Core Features & Use Cases

  • Parallel agent orchestration: spins up multiple review agents to cover architecture, implementation, testing, and other dimensions.
  • Consolidated findings: emits Findings-review JSON/Markdown artifacts plus a supplementary analysis that can be applied to a repository.
  • PR-scoped guidance and scope handling: supports per-PR scope or free-form guidance to focus the review and report only changed areas.

Quick Start

Run the skill against your repository to generate Findings-review files at the project root.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate parallel code reviews across multiple modules?

Automated parallel code reviews are orchestrated by spinning up multiple review agents across various dimensions, which then consolidate their findings into a single report.

Can I scope a multi-agent code review to just a specific pull request?

Yes, multi-agent code review supports per-PR scoping and free-form guidance hints to focus the analysis and report only on changed areas.

What output formats are generated by a multi-agent codebase review?

A multi-agent codebase review outputs consolidated Findings-review artifacts and supplementary analysis in both JSON and Markdown formats at the project root.

Does the parallel code review pipeline require any specific dependencies to run?

The parallel code review pipeline requires the jsonschema dependency to enforce its validation and rendering pipeline for JSON and Markdown deliverables.

What is the best way to consolidate multi-dimensional code review findings?

The best way to consolidate multi-dimensional code review findings is using a coordinated pipeline that merges parallel agent insights into unified JSON and Markdown artifacts.

What dimensions do parallel code review agents cover during repository analysis?

Parallel code review agents cover multiple dimensions during repository analysis, specifically targeting architecture, implementation, testing, and other structural areas.