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OpenClaw

The Maxun skill for OpenClaw lets you list, run, and retrieve results from your Maxun robots — through any messaging app connected to your OpenClaw gateway (WhatsApp, Telegram, Discord, and more).

The skill is published on ClawHub, the OpenClaw skill registry.

Prerequisites​

  • OpenClaw running (self-hosted gateway)
  • A Maxun Cloud account at app.maxun.dev
  • A Maxun API key (generated from Settings → API Key in your dashboard)
  • The ClawHub CLI installed:
npm i -g clawhub

Setup​

1. Install the skill​

clawhub install maxun

This downloads the skill into your ./skills directory and records it in .clawhub/lock.json.

2. Configure your API key​

Add your Maxun API key to ~/.openclaw/openclaw.json under the skill's env block:

{
  "skills": {
    "entries": {
      "maxun": {
        "enabled": true,
        "env": {
          "MAXUN_API_KEY": "your_api_key_here"
        }
      }
    }
  }
}

Or run the command

openclaw config set env.MAXUN_API_KEY "your_api_key_here"

3. Restart the gateway​

openclaw restart

The skill is loaded on restart and is immediately available from any connected app.

Usage​

Once installed, send a message from any connected app — OpenClaw automatically detects when your request involves Maxun robots and handles it. You can also invoke the skill directly with /maxun.

Listing Robots​

"What Maxun robots do I have?"
"Show me all my robots"
"List my scraping robots"

Running a Robot​

"Run my Amazon price scraper"
"Execute the product catalog robot"
"Run robot abc123 and show me the results"
tip

You don't need to know the robot ID. Describe it by name — the skill resolves it automatically before running.

Getting Results​

"Show me the results from my last run"
"What did the price scraper extract yesterday?"
"Get the output from run xyz789"

Common Workflows​

First Time​

"What robots do I have?"       → lists all robots
"Tell me about the jobs robot" → shows details
"Run it"                       → executes and returns results

Chained Requests​

OpenClaw handles multi-step prompts in one message:

"List my robots, run the most recently created one, and summarize what it found"

Model Recommendation​

tip

For the best results, configure OpenClaw to use a capable model from providers like Anthropic or OpenAI. Weaker models may struggle to reliably trigger the skill, resolve robot names, or interpret extracted data correctly. A stronger model noticeably improves skill invocation accuracy and response quality.

Resources​