Magi plan

Skill weiting-tw/MAGI-System/skills/magi-plan

MAGI System — Inspired by Evangelion's MAGI supercomputer. Three AI engines (Claude, Gemini, Codex) analyze tasks in parallel, then reach consensus through voting. A Claude Code skills plugin.

Install

npx -y skills add weiting-tw/MAGI-System --skill magi-plan

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

Copied from the file, not written here

三機(Claude/Gemini/Codex)平行審查計畫，評估完整性、順序、風險後投票共識

SKILL.md

1.7 KB, 671 tokens by cl100k_base, as published. Nobody here has run it

MAGI Plan 快捷指令

/magi-plan [task] - 工作計畫制定

此指令為 /magi plan [task] 的快捷方式。

使用方式

/magi-plan 重構用戶認證流程

執行內容

自動啟動 MAGI 三機平行分析：

機體	引擎	分析重點
MELCHIOR-1	Claude Opus	計畫完整性、技術路線圖
BALTHASAR-2	Gemini	步驟細緻度、依賴順序正確性
CASPER-3	Codex/GPT	安全實施順序、風險緩解措施

🚨 強制執行規則

<MANDATORY> 執行此指令時，必須嚴格遵守以下規則：

禁止事項：

❌ 禁止委派給其他 agent 處理
❌ 禁止使用非指定的工具

必須使用：

✅ MELCHIOR-1: Task tool with subagent_type="general-purpose", model="opus"
✅ BALTHASAR-2: mcp__gemini__ask-gemini (先用 ToolSearch 載入)
✅ CASPER-3: mcp__codex-cli__ask-codex (先用 ToolSearch 載入)

執行步驟：

先以單一 ToolSearch 載入 MCP 工具：ToolSearch(query="select:mcp__gemini__ask-gemini,mcp__codex-cli__ask-codex")
在單一訊息中同時發出三個 tool calls（Task + Gemini + Codex）
等待三機回應後彙整共識報告 </MANDATORY>

模型設定（plan 任務）

機體	模型	參數
MELCHIOR-1	`opus`	-
BALTHASAR-2	`gemini-3-pro-preview`	-
CASPER-3	`gpt-5.2-codex`	`reasoningEffort: "high"`

完整的投票機制與共識報告格式，見主 skill magi（skills/SKILL.md）。

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.