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Agent Skill · 效率

openclaw-multi-agent-hq-builder(OpenClaw multi Agent HQ 构建器)

openclaw-multi-agent-hq-builder 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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。

openclaw-multi-agent-hq-builder 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 11,999。

总安装 4,326周安装 175GitHub Stars 公开资料未说明下载 1,358核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:openclaw-multi-agent-hq-builder(OpenClaw multi Agent HQ 构建器)
来源仓库:https://github.com/happyandlg123321-maker/openclaw-multi-agent-hq-builder
安装命令:
openclaw skills install openclaw-multi-agent-hq-builder
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install openclaw-multi-agent-hq-builder

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

openclaw-multi-agent-hq-builder 构建多代理总部系统,集成角色设计与任务调度。适合在 OpenClaw 中搭建母机器人与子机器人协同架构。通过 clawhub 安装,使用 openclaw skills install 命令,自动生成组织框架。

安装前应明确角色分工与通信协议,避免职责重叠或冲突。提供黑板协议与状态机支持,强化团队协作与任务追踪能力。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install openclaw-multi-agent-hq-builder;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

openclaw-multi-agent-hq-builder 怎么安装?

在终端执行 openclaw skills install openclaw-multi-agent-hq-builder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-multi-agent-hq-builder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openclaw-multi-agent-hq-builder 需要什么权限?

权限级别是只读。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。

openclaw-multi-agent-hq-builder 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-multi-agent-hq-builder 用的人多吗?

公开数据是累计安装 4,326 次,近一周安装 175 次,下载 1,358 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openclaw-multi-agent-hq-builder 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
openclaw-multi-agent-hq-builder

OpenClaw multi Agent HQ 构建器 · 本页

4,326—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
openclaw-multi-agent-hq-builder
description
Build an OpenClaw multi-agent HQ system with a mother-bot plus sub-bots, including org design, role files, dispatcher, task state machine, blackboard protocol, and onboarding docs. Use this skill whenever the user wants to搭建多智能体组织、母bot/子bot体系、AI总部、调度系统、任务状态机、共享黑板、任务卡、或希望把一套多智能体工作流做成可安装、可复制、可教学的 OpenClaw skill/package.

OpenClaw Multi-Agent HQ Builder

Skill purpose

Use this skill to help a user build a mother-bot + sub-bots OpenClaw organization that is:

  • structured
  • installable
  • teachable
  • runnable
  • upgradeable

When speed matters, optimize for a newcomer being able to finish the installation with a clear checklist, exact file list, and acceptance criteria before the stated deadline.

This skill is not for random prompt roleplay. It is for turning a multi-agent idea into a working OpenClaw operating system skeleton.


What this skill builds

A standard delivery should include these layers:

1. Organization layer

Create or refine:

  • org chart
  • mother-bot / sub-bot division
  • role boundaries
  • reporting lines

2. Agent layer

For each core bot, create the four-file profile:

  • SOUL.md
  • HEARTBEAT.md
  • ROLE.md
  • AGENT_PROFILE.md

3. Protocol layer

Create or refine:

  • work handbook
  • task flow diagram
  • input/output templates
  • dispatcher rules

4. L5 operations layer

Create or refine:

  • task state machine
  • task card template
  • blackboard protocol
  • review mechanism
  • system upgrade log

5. Onboarding layer

Create or refine:

  • installation guide
  • newcomer checklist
  • first task demo card

Default build order

Do not start by writing lots of personalities. Build in this order:

  1. Confirm the mother-bot and core sub-bots
  2. Confirm role boundaries and responsibilities
  3. Build the HQ docs
  4. Install each bot's four-file profile
  5. Build dispatcher and workflow docs
  6. Build task state machine and blackboard docs
  7. Build onboarding docs for newcomers
  8. Create a first live task card example

Reason: new users fail when they start with too many agents and too little structure.


Recommended core architecture

Unless the user clearly wants a different structure, prefer this minimum HQ:

  • 001 mother-bot / CEO / dispatcher / final decider
  • 02 value and resource bot
  • 03 problem definition and logic bot
  • 04 long-term direction and principles bot
  • 05 execution and delivery bot

Keep the HQ small and hard. If the user mentions 06-10 or more specialized agents, default to an outer specialist pool, not permanent HQ members.


Standard delivery files

When building from scratch, aim to produce these files or their equivalents:

HQ docs

  • 组织架构总表.md
  • 母bot与子bot工作手册.md
  • 001-05任务流转图.md
  • 001-05标准输入输出模板包.md
  • 001-dispatcher.md
  • 001-dispatcher-runbook.md
  • 多智能体技术路线图.md

L5 docs

  • 任务状态机.md
  • 任务卡模板.md
  • 共享黑板协议.md
  • 复盘机制.md
  • 复盘模板.md
  • 系统升级日志.md

Task system

  • tasks/
  • tasks/TASK-001-*.md
  • tasks/TASK-002-*.md

Per-bot files

For 001 to 005, create:

  • teammates/<id>/SOUL.md
  • teammates/<id>/HEARTBEAT.md
  • teammates/<id>/ROLE.md
  • teammates/<id>/AGENT_PROFILE.md

Installation workflow for a newcomer

When the user wants a teachable installation package, produce an onboarding guide that walks them through:

Step 1: Confirm structure

Have them decide:

  • how many core bots
  • what each bot is responsible for
  • what stays in HQ vs outer specialist pool

Step 2: Build HQ documents

Create the shared HQ governance files first.

Step 3: Install the bot profiles

Create the four-file profile for each bot.

Step 4: Install the dispatcher

Set up 001-dispatcher.md and 001-dispatcher-runbook.md.

Step 5: Install L5 operations

Set up state machine, task cards, blackboard, review system, and upgrade log.

Step 6: Run one real task

Create a first real TASK-001 or TASK-002 and run the full chain.


Newcomer success checklist

A newcomer should be considered successful only if all of the following are true:

  • HQ structure is clear
  • each core bot has all 4 files
  • dispatcher exists
  • task state machine exists
  • task card template exists
  • blackboard protocol exists
  • review mechanism exists
  • upgrade log exists
  • tasks/ directory exists
  • at least one real task card exists
  • the user can explain the routing chain from 001 to sub-bots and back

Output style

When using this skill, prefer outputs that are:

  • concise
  • structured
  • installable
  • easy to follow for a newcomer
  • explicit about file paths and check steps

Do not give abstract theory without telling the user what files to create and in what order.


Suggested report structure

For setup requests, use this structure:

  1. Conclusion
  2. What will be created
  3. Exact file list
  4. Recommended order
  5. Key risks
  6. Final acceptance checklist

Anti-patterns

Avoid these mistakes:

  • too many bots too early
  • vague role descriptions with no file outputs
  • no dispatcher
  • no state machine
  • no task cards
  • no review loop
  • no newcomer checklist
  • relying only on chat history instead of files

Bundled resources

Read these bundled resources when needed:

  • references/install-guide.md for newcomer installation teaching
  • references/acceptance-checklist.md for final quality checks
  • references/minimal-examples.md for task card / blackboard / review minimal examples
  • references/test-prompts.md for quick trigger and delivery checks and realistic request coverage
  • references/publish-checklist.md for pre-release checks before declaring the skill ready to ship

Core sentence

The goal is not to create more agents. The goal is to create a small, hard, teachable multi-agent HQ that can actually run.

平台分布

OpenClaw

80.52%
按下载量换算1,093

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。目前只有一个公开来源,建议同时核对源仓库。

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