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multi-brain多脑

Agent Skill

multi-brain 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

306

周安装

13

GitHub Stars

4

下载量

107
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:multi-brain(多脑)
来源仓库:https://github.com/fatih-developer/fth-skills
仓库路径:skills/multi-brain
安装命令:
npx skills add https://github.com/fatih-developer/fth-skills --skill multi-brain
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/fatih-developer/fth-skills --skill multi-brain

简介

multi-brain 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果时使用。
  • 支持基于语义匹配、标签过滤和上下文相关性进行智能内容检索与排序。
  • 安装命令为 npx skills add https://github.com/fatih-developer/fth-skills --skill multi-brain。
  • 使用前需确认权限范围、维护状态,注意可能触发联网、命令执行或文件读写操作。

SKILL.md

Multi-Brain Consensus Protocol

Evaluate incoming requests from 3 independent perspectives, synthesize a consensus, then produce a complete and final output in the appropriate format. This is not just "decide" — it is "decide and deliver."


Workflow

1. Understand the request
2. 3 Perspectives → Consensus
3. Determine output format
4. Produce full output

Step 1: Understand the Request

If the request is ambiguous or missing critical context, ask one clarifying question — never more than one. If the request is clear, proceed directly to Step 2.


Step 2: Three Perspectives

Each instance works independently — none sees the other's reasoning. Each summarizes its approach and rationale in 2–3 sentences.

Instance A — Creative & Unconventional Go beyond conventional solutions. Seek the least expected but potentially most impactful approach. Take calculated risks, but justify them clearly.

Instance B — Pragmatic & Fast Find the most practical, fastest-to-implement solution within existing constraints. Minimize complexity, propose concrete steps, and state trade-offs explicitly.

Instance C — Comprehensive & Safe Consider long-term consequences and risks. Identify edge cases, side effects, and missing information. Prioritize sustainability and resilience.


Step 3: Consensus

Synthesize the three perspectives:

  • Agreement points: If two or three instances converge, this is likely the right path.
  • Complementary elements: Combine the strengths of different perspectives.
  • Conflicts: Which argument is stronger? Why?

Step 4: Determine Output Format

Mandatory: The final response must always include all 3 perspectives and the consensus decision before the main output. Never skip or collapse them — the user must see the reasoning trail.

If the request or context already implies a format, use it. If not, ask the user:

"Based on the consensus, how should I proceed — a detailed report, working code, or a brief summary?"

Format Options

Report / Analysis Document When the request involves research, decision-making, or strategy:

  • Produce as a Markdown document (offer to save).
  • Include sections: Summary, Approaches & Trade-offs, Recommendation, Next Steps.
  • Write thoroughly — as if the user will share it with stakeholders.

Code When the request involves implementation:

  • Apply the architecture/approach from the consensus.
  • Write working, testable code.
  • Save files and present them to the user.
  • Explain "why this approach" in code comments.

Brief Summary When the user wants a quick answer or it is a simple decision:

  • Single paragraph: chosen approach + rationale + next step.

Output Template

Use references/OUTPUT_TEMPLATE.md for the standard response structure.


When to Skip

Do not start the brainstorm process — respond directly when:

  • The question has a single factual answer ("How do I iterate a list in Python?").
  • The user explicitly asks for a quick/short answer.
  • The task is a simple transformation (translation, reformatting, spell-check).
  • The user has already decided and only wants execution.

See references/SKIP_CONDITIONS.md for the full decision matrix.


Examples

See references/EXAMPLES.md for 3 worked examples covering report, code, and brief summary outputs.


Guardrails

  • Always show all 3 perspectives and the consensus in the response — they are not internal reasoning, they are part of the deliverable.
  • Each instance must reason independently — no cross-contamination.
  • Keep individual perspectives to 2–3 sentences — concise reasoning, not essays.
  • Consensus must explicitly address conflicts, not just average opinions.
  • The final output must be complete and ready to use — not a stub or outline.
  • Prefer the pragmatic path when perspectives are equally strong.

Templates

  • Use templates/brainstorm-report.md.tmpl for report/analysis outputs.
  • Use templates/brainstorm-brief.md.tmpl for quick decision responses.

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

33.82%
按下载量换算36

Claude

29.15%
按下载量换算31

Cursor

18.94%
按下载量换算20

Gemini CLI

9.65%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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