Use Case
Stop doing repetitive data & analytics tasks manually. RLM Controller lets your AI agent handle them automatically through natural conversation. RLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use... This guide shows practical examples of using RLM Controller to automate common data & analytics workflows and save hours every week.
Install RLM Controller: npx clawhub@latest --dir ~/.claude/skills install rlm-controller
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
RLM Controller 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 RLM Controller
Automate my data & analytics tasks using RLM Controller
What repetitive tasks can RLM Controller handle for me?
Set up a workflow that runs RLM Controller every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install rlm-controllerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install rlm-controllerβ 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/rlm-controller/π‘Extract and place the folder at the path above, then restart your agent.