magi

Analyze engineering topics with parallel MAGI agents and synthesize structured judgments.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

MAGI provides a collaborative, multi-perspective engine for engineering decision-making by launching three specialized agents to analyze a topic in parallel and synthesizing their insights into a structured judgment.

Core Features & Use Cases

  • Parallel agent deliberations: three MAGI personas (Scientist, Mother, and Woman) analyze the topic on different axes.
  • Bias detection and synthesis: MAGI Core aggregates insights, detects sycophancy, and presents a unified verdict.
  • Flexible usage: suitable for architecture design, technology selection, code reviews, and design strategy.

Quick Start

Provide a topic and MAGI will launch three agent perspectives for parallel assessment and synthesize results.

Frequently Asked Questions about magi

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

FAQPage Schema
How do I get multi-perspective analysis for architecture decisions?

Multi-perspective analysis for architecture decisions is achieved by launching three specialized AI agents in parallel to evaluate different axes of the topic and synthesizing their insights into a unified verdict.

Can I use parallel AI agents to detect bias in code reviews?

Yes, you can use parallel AI agents to detect bias in code reviews by aggregating their individual assessments, detecting sycophancy, and calibrating the results into a structured engineering judgment.

How do I evaluate technology selection trade-offs using multiple perspectives?

Evaluating technology selection trade-offs involves providing a topic to trigger parallel agent deliberations, which then synthesize multidimensional insights to handle complex design strategy decisions.

What is the best way to analyze complex engineering design decisions?

The best way to analyze complex engineering design decisions is using a multi-perspective engine that applies parallel agent deliberations, bias detection, and core synthesis to manage trade-offs.

When should I not use multi-perspective agents for engineering analysis?

You should avoid multi-perspective agents for engineering analysis when a topic requires a single definitive technical answer rather than a synthesized judgment handling complex trade-offs across multiple dimensions.