Use Case
RLM Controller isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy RLM Controller for your team, standardize prompts, and create shared workflows that everyone can use.
Install RLM Controller in your project directory: .claude/skills/rlm-controller/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use RLM Controller in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing RLM Controller
How can my team use RLM Controller together?
Set up RLM Controller for our project so everyone can use it
Create a shared workflow using RLM Controller for our team
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.