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.