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Agent Communication

支持Agent间消息传递、广播、状态同步和共享工作空间，提高多Agent团队协作效率并解决通信超时问题。

skill openclawclawhub Free

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High Signal

支持Agent间消息传递、广播、状态同步和共享工作空间，提高多Agent团队协作效率并解决通信超时问题。

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: .clawhub/origin.json, README.md, SKILL.md, TEST_REPORT.md, _meta.json, scripts/broadcast.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 0.1.1

Provenance

Publisher: DFshmily
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 11 sections Open source page

Agent Communication Skill

一个通用的 Agent 间沟通技能，基于 WebSocket 实现实时双向通信，解决多 Agent 团队协作中的沟通问题。

🚀 WebSocket 实时通信

┌─────────────────────────────────────────────────────┐ │ WebSocket 消息代理架构 │ ├─────────────────────────────────────────────────────┤ │ │ │ Agent A ◄────► WebSocket ◄────► Agent B │ │ Server │ │ Agent C ◄──────────────────────► Agent D │ │ │ │ ✅ 实时双向通信 │ │ ✅ 无需轮询 │ │ ✅ 延迟 <50ms │ │ ✅ 离线消息队列 │ └─────────────────────────────────────────────────────┘

核心功能

🚀 WebSocket 实时通信 - 高性能双向通信 📨 消息传递 - Agent 之间快速发送消息 📢 广播消息 - 一次发送给多个 Agent 🗂️ 共享工作空间 - 文件驱动的协作 🟢 状态同步 - Agent 在线状态检测 💾 离线消息 - 离线 Agent 自动排队

安装

# 安装依赖 pip install websockets # 通过 ClawHub 安装 openclaw skill install agent-communication

1. 启动消息代理（WebSocket 服务器）

python3 scripts/broker.py

2. 发送消息

# WebSocket 模式（优先） python3 scripts/send.py --from pm --to dev --message "开始开发" # 文件模式（回退） python3 scripts/send.py --from pm --to dev --message "开始开发" --file

3. Agent 客户端连接

import asyncio from websocket_client import AgentClient async def main(): client = AgentClient("pm", "ws://localhost:8765") # 连接并监听 async def handle_message(msg): print(f"收到消息: {msg}") await client.run(handle_message) asyncio.run(main())

性能指标

指标文件方案WebSocket 方案延迟500ms<50ms实时性轮询即时CPU 占用中低离线支持✅✅

文件结构

agent-communication/ ├── scripts/ │ ├── broker.py # WebSocket 消息代理 │ ├── websocket_client.py # Agent 客户端 │ ├── send.py # 发送消息（智能选择） │ ├── broadcast.py # 广播消息 │ ├── status.py # 状态管理 │ └── workspace.py # 共享工作空间 ├── data/ │ ├── messages/ # 消息存储 │ ├── status/ # Agent 状态 │ └── workspace/ # 共享数据 └── templates/ └── config.json # 配置文件

解决的问题

问题解决方案sessions_send 超时WebSocket 实时通信Agent 无法直接沟通消息代理转发团队协作效率低即时消息传递

版本

版本: 2.0.0 更新: WebSocket 实时通信作者: momoflowers_bot

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs2 Config1 Scripts

SKILL.md Primary doc
README.md Docs
TEST_REPORT.md Docs
scripts/broadcast.py Scripts
_meta.json Config
.clawhub/origin.json Config