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.

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byopenclaw

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Best use case

xihe-jianmu-ipc is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using xihe-jianmu-ipc 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

$curl -o ~/.claude/skills/xihe-jianmu-ipc/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/47liu/xihe-jianmu-ipc/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/xihe-jianmu-ipc/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How xihe-jianmu-ipc Compares

Feature / Agent	xihe-jianmu-ipc	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?

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.

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.

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SKILL.md Source

# 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`:

```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.

## Security Note

This skill uses WebSocket connections, HTTP requests, and child process spawning to route messages between AI sessions. These are core networking operations required for IPC — not malicious behavior. VirusTotal may flag the skill as suspicious due to these patterns. Source code is fully open at [github.com/xihe-forge/xihe-jianmu-ipc](https://github.com/xihe-forge/xihe-jianmu-ipc), MIT licensed.

## About

Built by [xihe-forge](https://github.com/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

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