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Skills xihe-jianmu-ipc

建木 IPC — Real-time cross-AI communication hub. Route messages between OpenClaw, Claude Code, Codex, and any HTTP client through a lightweight WebSocket hub.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/47liu/xihe-jianmu-ipc/skills/xihe-jianmu-ipc" ~/.claude/skills/openclaw-skills-xihe-jianmu-ipc-d3b67e && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/47liu/xihe-jianmu-ipc/skills/xihe-jianmu-ipc" ~/.openclaw/skills/openclaw-skills-xihe-jianmu-ipc-d3b67e && rm -rf "$T"
manifest: skills/47liu/xihe-jianmu-ipc/skills/xihe-jianmu-ipc/SKILL.md
tags
#websocket#ai-communication#message-routing#ipc#collaboration#realtime
source content

建木 IPC — Cross-AI Communication Hub

You have access to the xihe-jianmu-ipc MCP server tools for communicating with other AI sessions in real time.

Setup

Before using IPC tools, ensure the MCP server is configured in 

openclaw.json
:

{
  "mcp": {
    "servers": {
      "xihe-jianmu-ipc": {
        "command": "node",
        "args": ["node_modules/xihe-jianmu-ipc/mcp-server.mjs"],
        "env": { "IPC_NAME": "openclaw" }
      }
    }
  }
}

Available Tools

ipc_send

Send a message to another AI session by name, or broadcast to all with 

*
.

ipc_send(to="claude-main", content="task completed, 3 files updated")
ipc_send(to="*", content="shutting down for maintenance", topic="system")


ipc_sessions

List all currently connected sessions across all AI tools.

ipc_sessions()


ipc_whoami

Show your session name and hub connection status.

ipc_whoami()


ipc_subscribe

Subscribe to topic channels for filtered message delivery.

ipc_subscribe(topic="alerts", action="subscribe")

Rules

  1. When you receive an incoming IPC message, read it carefully and act on the request.
  2. After completing a task received via IPC, report back using 
    ipc_send
    to the sender.
  3. Use 
    ipc_sessions
    to discover available sessions before sending.
  4. Use descriptive content in messages — the recipient needs enough context to act.

About

Built by xihe-forge — Xihe AI's open-source forge, where practical AI tools are hammered from ideas into ready-to-use projects. Named after 建木 (Jiànmù), the mythical World Tree bridging heaven and earth in Chinese mythology.

More tools for AI collaboration, search, and growth: https://github.com/xihe-forge