RLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use...
Data sourced from ClawHub. View on ClawSkills
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.
Category
πData & AnalyticsPlatforms
What RLM Controller can do for your AI workflow
Rlm-style long-context directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,059+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing RLM Controller
Help me get started with RLM Controller
Explains what RLM Controller does, walks through the setup, and runs a quick demo based on your current project
Use RLM Controller to rLM-style long-context controller that treats inputs as external co...
Invokes RLM Controller with the right parameters and returns the result directly in the conversation
What can I do with RLM Controller in my data & analytics workflow?
Lists the top use cases for RLM Controller, with example commands for each scenario
Guides & tutorials for AI skills
10 Fresh GitHub Agent Skills Added in June 2026
A hand-checked shortlist of recently updated GitHub agent skills that were not already in our catalog, excluding marketplaces, awesome lists, managers, and generic skill directories.
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
RLM Controller extends your AI assistant with the ability to rLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using RLM Controller as its underlying capability.
RLM Controller works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install RLM Controller once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
RLM Controller installs like any other MCP skill: drop the folder into `~/.claude/skills/rlm-controller/` for global access, or `.claude/skills/rlm-controller/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/rlm-controller`, or let the AI decide when it's the right tool for your request.
RLM Controller has been installed 1,059 times, making it one of the more actively used skills in the Data & Analytics category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/rlm-controller/ for personal use (all projects), or .claude/skills/rlm-controller/ for project-specific use. Restart your AI client, then invoke with /rlm-controller or let the AI discover it automatically.
RLM Controller supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
RLM Controller is free to install. Check the repository for licensing information.
RLM-style long-context controller that treats inputs as external context, slices/peeks/searches, and spawns recursive subcalls with strict safety limits. Use...
Automate my data & analytics tasks using RLM Controller
Identifies repetitive steps in your workflow and sets up RLM Controller to handle them automatically
RLM Controller is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.