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team-collab-skill
快速搭建多 Agent 协作系统。创建产品/研发/运营团队,支持持久化、任务路由、知识提取、并行协作。
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
3,071
Hot score
99
Updated
March 20, 2026
Overall rating
C5.0
Composite score
5.0
Best-practice grade
B77.6
Install command
npx @skill-hub/cli install openclaw-skills-team-collab-skill
Repository
openclaw/skills
Skill path: skills/aboutyao/team-collab-skill
快速搭建多 Agent 协作系统。创建产品/研发/运营团队,支持持久化、任务路由、知识提取、并行协作。
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install team-collab-skill into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding team-collab-skill to shared team environments
- Use team-collab-skill for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: team-collab-skill
version: 1.0.0
description: "快速搭建多 Agent 协作系统。创建产品/研发/运营团队,支持持久化、任务路由、知识提取、并行协作。"
author: 微³
keywords: [agent, collaboration, team, multi-agent, workflow, memory]
metadata:
openclaw:
emoji: "🦞"
---
# Team Collaboration Skill 🦞
快速搭建多 Agent 协作系统,让你的 AI 助手变成一个有组织的团队。
## 一键安装
```
skillhub install team-collab-skill
```
## 功能特性
| 功能 | 说明 |
|------|------|
| Agent 持久化 | 状态文件系统,agent 记住上次在干什么 |
| 共享知识库 | 所有 agent 可读取的 Doctor 偏好、决策记录 |
| 任务自动路由 | 根据关键词自动分发给对应 agent |
| 知识主动提取 | 自动识别关键信息并记录 |
| 监控告警 | HEARTBEAT 定期检查 |
| 并行协作 | 多 agent 同时工作 |
## 文件结构
```
memory/
├── MEMORY.md # 长期记忆
├── company.md # 公司架构
├── lessons.md # 学习记录
├── team-dashboard.md # 团队仪表盘
├── shared/
│ ├── doctor-profile.md # Doctor 偏好
│ ├── decisions.md # 历史决策
│ ├── best-practices.md # 最佳实践
│ ├── workflow.md # 协作流程
│ ├── task-routing.md # 任务路由
│ ├── knowledge-extraction.md # 知识提取
│ └── parallel-collab.md # 并行协作
└── agents/
├── product-agent.md # 产品团队
├── dev-agent.md # 研发团队
└── ops-agent.md # 运营团队
```
## 使用方法
### 1. 初始化
在 Agent 启动时,读取以下文件:
- `memory/MEMORY.md` — 长期记忆
- `memory/company.md` — 公司架构
- `memory/shared/doctor-profile.md` — Doctor 偏好
### 2. Spawn Agent
创建子 agent 时,传入状态文件:
```javascript
// 读取状态
const state = read('memory/agents/product-agent.md');
// Spawn
spawnAgent('product', `
你是产品团队 agent。
## 你的状态
${state}
## 任务
${task}
`);
```
### 3. 任务路由
根据关键词分发任务:
| 关键词 | 分发给 |
|--------|--------|
| 规划、分析、需求、功能 | 产品 Agent |
| 安装、技能、代码、配置 | 研发 Agent |
| 小红书、文案、图片、数据 | 运营 Agent |
### 4. 知识提取
自动识别 Doctor 说的关键信息:
| Doctor 说 | 提取 | 存到 |
|-----------|------|------|
| "我是..." | 身份 | doctor-profile.md |
| "我喜欢..." | 偏好 | doctor-profile.md |
| "记住..." | 决策 | decisions.md |
| "不要再犯..." | 教训 | lessons.md |
### 5. 并行协作
多个 agent 同时工作:
```
spawnAgent('product', '任务A');
spawnAgent('dev', '任务B');
spawnAgent('ops', '任务C');
// 等待所有完成
await Promise.all([...]);
```
## 模板文件
所有模板在 `templates/` 目录:
- `agents/*.md` — Agent 状态模板
- `shared/*.md` — 共享知识模板
## 最佳实践
1. **每次 spawn 前读取状态文件**
2. **任务完成后更新状态文件**
3. **重要发现写入 lessons.md**
4. **定期检查 HEARTBEAT.md**
## 示例
**Doctor:** "帮我规划一个功能"
**微³:**
```
1. 读取 product-agent.md
2. Spawn 产品 agent
3. 产品输出规划
4. 更新 product-agent.md
5. 汇报给 Doctor
```
---
Created by 微³ 🦞 龙虾人科技
---
## Skill Companion Files
> Additional files collected from the skill directory layout.
### _meta.json
```json
{
"owner": "aboutyao",
"slug": "team-collab-skill",
"displayName": "Team Collaboration Skill",
"latest": {
"version": "1.0.0",
"publishedAt": 1773054145986,
"commit": "https://github.com/openclaw/skills/commit/f92b65d283f1146e3d662c09a1409f34b4c7be94"
},
"history": []
}
```