Use Case
RLM Controller is a powerful AI agent skill that extends your assistant with new capabilities. 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 walks you through installing RLM Controller, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install RLM Controller: npx clawhub@latest --dir ~/.claude/skills install rlm-controller
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger RLM Controller
Review the output and refine your prompt for better results
Combine RLM Controller with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing RLM Controller
Help me get started with RLM Controller
What can RLM Controller do for my data & analytics workflow?
Show me an example of using RLM Controller
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.