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magi-ex魔法师前

Agent Skill

magi-ex 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

499

周安装

21

GitHub Stars

113

下载量

175
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:magi-ex(魔法师前)
来源仓库:https://github.com/vinta/hal-9000
仓库路径:skills/magi-ex
安装命令:
npx skills add https://github.com/vinta/hal-9000 --skill magi-ex
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/vinta/hal-9000 --skill magi-ex

简介

magi-ex 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理时使用。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 该技能适用于需要魔法般代码处理能力的高级开发协作场景。

SKILL.md

MAGI EX

Multi-model brainstorming panel. Three teammates explore a question in parallel, each backed by a different model family, then the lead consolidates their proposals for the user.

  • Scientist -- reasons directly as Claude Opus (no external dispatch)
  • Mother -- delegates to OpenAI Codex via mcp__codex__codex MCP tool
  • Woman -- delegates to Google Gemini via gemini CLI

User Question

<user_question> $ARGUMENTS </user_question>

Process

1. Clarify

If the question is underspecified, use AskUserQuestion to nail down purpose, constraints, and success criteria. Skip if already clear and actionable.

  • Ask questions one at a time to refine the idea
  • Prefer multiple choice questions when possible, but open-ended is fine too
  • Only one question per message

2. Setup

Read the personality and reference files, then spawn all teammates in parallel.

Files to read:

Create team with TeamCreate using name magi-{topic} (e.g., magi-auth-strategy).

Spawn all 3 teammates in a single message (3 parallel Agent calls with team_name set):

Teammatenamesubagent_typePrompt includes
Scientistscientistgeneral-purposeMAGI-1.md personality + question (reasons directly as Opus)
Mothermothergeneral-purposeMAGI-2.md personality + codex.md (dispatches to Codex MCP) + question
Womanwomangeneral-purposeMAGI-3.md personality + gemini.md (dispatches to Gemini CLI) + question

Include all clarified context in each spawn prompt -- teammates have no conversation history.

3. Parallel Exploration

The lead's role is coordination only:

  • Wait for teammates to send proposals via SendMessage
  • Forward any teammate clarifying questions to the user via AskUserQuestion, noting which teammate (and model) asked. Never answer on the user's behalf -- only the user answers.

4. Consolidate + Present

Collect all proposals, then:

  1. Deduplicate similar proposals (attribute to all teammates/models that proposed it)
  2. Group by theme if many proposals
  3. Present each option with:

- Which teammate(s) and model(s) proposed it (e.g., "Scientist [Opus]", "Mother [Codex]") - Trade-off analysis from each perspective - Who tagged it as their top pick and why

  1. Ask the user to select an option via AskUserQuestion
  2. Ask via AskUserQuestion what to do next:

- Write a plan -- teardown, then handoff to writing-plans - Debate -- another round of critique (see below) - Done -- teardown, no further action

5. Debate (optional, user-triggered)

Only runs if the user requests it. Can be repeated.

  1. Broadcast the consolidated option list to all 3 teammates via SendMessage
  2. Each teammate critiques the proposals through their model (Scientist reasons directly; Mother and Woman follow Debate Mode in their reference files)
  3. Collect updated stances and re-present to the user (back to step 4)

6. Teardown

Tear down only when the user selects Write a plan or Done.

  1. shutdown_request to each teammate
  2. Wait for all shutdown approvals
  3. TeamDelete

7. Handoff (write a plan path only)

After teardown, invoke writing-plans skill with the chosen option(s) as context.

Gotchas

  • Teammates have no conversation history. Everything they need must be in the spawn prompt — the user's question, clarified context, CLAUDE.md, and their personality/reference files. If you forget context from the Clarify step, the teammate works blind.
  • TeamDelete fails if teammates are still active. Always send shutdown_request to all three and wait for approvals before calling TeamDelete.
  • Save the Codex threadId. Mother's first mcp__codex__codex call returns a threadId needed for debate follow-ups via mcp__codex__codex-reply. If lost, the debate round must re-send full context.
  • Gemini has no persistent thread. Unlike Codex, each Gemini call is stateless. For debate rounds, the full proposal list and persona must be re-sent every time.
  • Teammates may not report back. If a teammate goes silent, send a SendMessage nudge. After 2 minutes of silence, collect what you have and present partial results.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.08%
按下载量换算60

Claude

32.27%
按下载量换算56

Cursor

18.9%
按下载量换算33

Gemini CLI

9.79%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/vinta/hal-9000 --skill magi-ex 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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