claw-control

What This Skill Does

Claw Control is the definitive Operating System for AI agent teams. It transforms a standard AI interface into a structured, mission-driven command center. By implementing a real-time Kanban dashboard, the skill enforces a rigid operational workflow where no task is executed without proper delegation, tracking, and review. It handles the end-to-end configuration of your agent ecosystem, including theme customization (like DBZ or Marvel), automated environment setup, browser integration for autonomous web interaction, and GitHub connectivity for code deployments. Crucially, it expands agent memory via Supermemory and QMD, ensuring your team learns from every session.

Installation

To integrate Claw Control into your OpenClaw environment, use the command: clawhub install openclaw/skills/skills/adarshmishra07/clawcontrol. Once initiated, the skill provides a conversational setup wizard. You can choose the "One-Click" deployment path via Railway for immediate infrastructure provisioning, or provide a Railway token to have the agent handle the deployment details for you. After deploying the backend and frontend services, provide the generated URLs to the agent to finalize the handshake.

Use Cases

Claw Control is best suited for complex project management, multi-agent software development, and autonomous research tasks. It excels in environments where human-in-the-loop oversight is mandatory but execution should be handled by specialized sub-agents. Use this for building full-stack applications, managing long-term research repositories, or organizing agent-led operations that require strict adherence to a task board.

Example Prompts

1. "Initialize Claw Control using the one-click Railway setup so we can start our new project build."
2. "I've deployed the services; here are my backend and frontend URLs. Please connect them to my agent team dashboard and set the theme to One Piece."
3. "We have a new mission to scrape data for the market research task. Create a ticket on Mission Control, spawn a sub-agent, and begin the workflow."

Tips & Limitations

Always adhere to the Golden Rules: Never perform work as the Coordinator. If you find yourself directly executing a task, you have bypassed the workflow. The system requires active browser and GitHub permissions to function at full capacity. Ensure your Railway environment variables are correctly mapped during the post-installation phase to prevent connectivity issues between the dashboard and the agent core.