magi-review

Automate code review of git diffs through MAGI council.

3|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/ohta-rh/magi-system --skill magi-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: magi-review
Source: https://github.com/ohta-rh/magi-system/tree/main/plugins/magi/skills/magi-review
Command: npx skills add https://github.com/ohta-rh/magi-system --skill magi-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates code review of git diffs through MAGI council to surface actionable insights and structured assessments.

Core Features & Use Cases

  • Analyzes git diffs and generates a topic-focused summary for collaborative review.
  • Facilitates multi-perspective evaluation using the MAGI council framework to improve code quality.
  • Supports targeted reviews via optional focus areas or concerns.

Quick Start

Run magi-review on the current diff to initiate the council-based evaluation.

Frequently Asked Questions about magi-review

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

FAQPage Schema
How do I automate code review for git diffs using AI?

You can automate code review for git diffs by parsing the diff, summarizing changes, categorizing impact, and invoking the MAGI council to generate a structured, multi-perspective assessment of your modifications.

What is the MAGI council framework for AI-assisted code review?

The MAGI council framework facilitates multi-perspective evaluation by applying parallel assessment and debate across code changes, surfacing actionable insights and structured assessments to improve overall software quality.

Can I target an AI code review to specific focus areas or concerns?

Yes, you can support targeted reviews by providing optional focus areas or concerns, allowing the MAGI council evaluation to concentrate the diff analysis on specific software engineering topics.

How does an AI-assisted review summarize software engineering changes?

AI-assisted review summarizes changes by parsing git diffs to generate a topic-focused summary, categorizing the impact of modifications before invoking the MAGI council for collaborative evaluation.

What is the best way to evaluate code modifications across multiple perspectives?

The best way to evaluate modifications across multiple perspectives is using a MAGI council framework, which enforces parallel evaluation and debate across git diffs to surface structured code assessments.

Do I need specific dependencies to run a MAGI council code review?

No specific dependencies are required to run a MAGI council code review, as the skill operates independently to parse git diffs, summarize changes, and invoke the MAGI framework for evaluation.