cross-instance-comm
Use when sending messages or tasks between multiple OpenClaw instances over Tailscale Gateway, such as asking another machine to execute work or sync context.
Best use case
cross-instance-comm is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when sending messages or tasks between multiple OpenClaw instances over Tailscale Gateway, such as asking another machine to execute work or sync context.
Teams using cross-instance-comm should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cross-instance-comm/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cross-instance-comm Compares
| Feature / Agent | cross-instance-comm | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when sending messages or tasks between multiple OpenClaw instances over Tailscale Gateway, such as asking another machine to execute work or sync context.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 跨 OpenClaw 实例通信 (Tailscale Gateway)
通过 Tailscale 网络向其他 OpenClaw 实例发送消息，实现跨机器 Agent 通信。
## 触发条件
- "给小m发消息"、"发到Mac Mini"、"跨实例通信"
- "在小m上执行"、"远程部署"、"同步到小m"
## 已知实例
| 实例 | 域名 | 端口 | Token |
|------|------|------|-------|
| 小m (Mac Mini M2) | daniellimac-mini.tail0db0a3.ts.net | 18789 | $(pass show api/xiaom-gateway-token) |
| 本机 (Linux) | 127.0.0.1 | 18789 | (本地) |
## 发送消息到远程实例
```bash
# 给小m的主agent发消息
curl -s -X POST "http://daniellimac-mini.tail0db0a3.ts.net:18789/api/message" \
-H "Authorization: Bearer <token>" \
-H "Content-Type: application/json" \
-d '{"message": "你的消息内容"}'
```
## 通过 OpenClaw sessions_send（推荐）
如果当前 OpenClaw 配置了远程 Gateway，可直接用 sessions_send：
```python
# 在代码中通过 Gateway API
import httpx
def send_to_instance(host, port, token, message, session_key=None):
url = f"http://{host}:{port}/api/message"
headers = {"Authorization": f"Bearer {token}", "Content-Type": "application/json"}
data = {"message": message}
if session_key:
data["sessionKey"] = session_key
resp = httpx.post(url, headers=headers, json=data, timeout=30)
return resp.json()
# 发到小m
send_to_instance(
"daniellimac-mini.tail0db0a3.ts.net", 18789,
"$(pass show api/xiaom-gateway-token)",
"帮XX公司做GEO，行业是云计算"
)
```
## 脚本快捷方式
```bash
# scripts/send-to-m2.sh
#!/bin/bash
MSG="${1:?用法: send-to-m2.sh '消息内容'}"
curl -s -X POST "http://daniellimac-mini.tail0db0a3.ts.net:18789/api/message" \
-H "Authorization: Bearer $(pass show api/xiaom-gateway-token)" \
-H "Content-Type: application/json" \
-d "{\"message\": \"$MSG\"}"
```
## 注意事项
- 需要 Tailscale 网络连通（两台机器都在同一 Tailnet）
- Token 不要泄露到公开仓库
- 超时建议设 30s（跨网络延迟）
- 远程实例的 Gateway 必须在运行状态Related Skills
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