Use Case
Stop doing repetitive data & analytics tasks manually. MachineCommander lets your AI agent handle them automatically through natural conversation. Use the Machinery Commander MCP service to query real-time data, status and location information of construction machinery and ships. Used to answer questions about the status, location, working conditions, etc. of machinery and equipment (excavators, loaders, dump trucks, concrete mixer trucks, etc.) and ships (transport ships, tugs, etc.) in construction projects. This skill must be used when users ask for specific data such as equipment quantity, location distribution, construction status, fuel consumption, alarms, etc. This guide shows practical examples of using MachineCommander to automate common data & analytics workflows and save hours every week.
Install MachineCommander: npx clawhub@latest --dir ~/.claude/skills install machine-commander-query
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
MachineCommander will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing MachineCommander
Automate my data & analytics tasks using MachineCommander
What repetitive tasks can MachineCommander handle for me?
Set up a workflow that runs MachineCommander every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install machine-commander-queryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install machine-commander-queryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/machine-commander-query/π‘Extract and place the folder at the path above, then restart your agent.