Overview
- Skill Key
- evan966890/feishu-multi-agent
- Author
- evan966890
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/evan966890/feishu-multi-agent
- Latest Commit SHA
- 0b0dccc3ed392f6069c684d4704cf6635cccbc5a
Production blueprint for orchestrating multiple OpenClaw agents via Feishu with file-driven task queues, cron scheduling, and workspace sandbox workarounds.
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 feishu-multi-agent 技能。 若已安装,则直接安装 feishu-multi-agent 技能。
# feishu-multi-agent — 飞书多 Agent 编排实战指南
> 从 0 到 1 搭建一个包工头 + N 个下属 agent 的自动化团队,通过飞书与用户交互,文件驱动任务分发,cron 驱动持续工作。
本技能总结了在生产环境中运行 7 个飞书 agent(包工头 + 游戏工厂 + 龙虾出版社 + 小秘虾妹 + 炒币哥 + 炒股姐 + Agent猎头)的全部经验,涵盖架构设计、沙箱踩坑、任务队列、cron 编排、故障排查。
## 适用场景
- 用 OpenClaw 管理多个 AI agent,每个 agent 绑定一个飞书 bot
- 需要一个"包工头"agent 自动给其他 agent 派活
- 希望 agent 持续工作(不是做一件事就停)
- 需要文件驱动的任务队列(而非纯消息驱动)
## 架构总览
```
用户 ──飞书──→ 包工头(main) ──任务文件──→ buyer / kb / gf
│ ↑
│ cron 触发心跳
└── cron 巡查 ──检查状态──┘
不受包工头管理的 agent(用户直接控制):
coach / travel / edu
```
### 核心概念
| 概念 | 说明 |
|------|------|
| 包工头 | 只管人不干活,通过文件派活 + `openclaw agent` 催活 |
| 任务队列 | 每个下属 workspace 下 `tasks/pending/` + `tasks/done/` |
| 持续工作 | cron 高频触发 + HEARTBEAT.md 指示"做完一件做下一件" |
| 沙箱限制 | Write 工具只能写 workspace 内,跨 workspace 必须用 bash |
---
## Step 1: 飞书应用准备
每个 agent 需要一个独立的飞书自建应用(bot)。参考 `feishu-app-setup` 技能完成:
1. 在 [open.feishu.cn](https://open.feishu.cn) 创建 N 个企业自建应用
2. 每个应用添加机器人能力 + 批量导入权限
3. 配置事件订阅(WebSocket 长连接)
4. 发布上线
**批量创建技巧**:用 `agent-browser --cdp-endpoint` 连接已登录浏览器,循环创建+配置,免重复登录。
## Step 2: OpenClaw 多账号配置
```json
{
"channels": {
"feishu": {
"enabled": true,
"accounts": {
"main": { "appId": "cli_aaa", "appSecret": "secret_aaa", "name": "包工头" },
"buyer": { "appId": "cli_bbb", "appSecret": "secret_bbb", "name": "游戏工厂" },
"kb": { "appId": "cli_ccc", "appSecret": "secret_ccc", "name": "龙虾出版社" },
"gf": { "appId": "cli_ddd", "appSecret": "secret_ddd", "name": "小...
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