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openclaw-multi-agent-hq-builderOpenClaw multi Agent HQ 构建器

Agent Skill

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。

总安装

4,326

周安装

175

GitHub Stars

公开资料未说明

下载量

1,358
OpenClaw

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

MIT-0

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: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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

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。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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