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Mission Control Dashboard

Skill by moeye

Why use this skill?

Manage your AI agents with the Mission Control Dashboard. Features hierarchical departments, real-time system monitoring, GPU tracking, and secure authentication.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/moeye/mission-control-dashboard
Or

What This Skill Does

The Mission Control Dashboard is a sophisticated, professional-grade management interface designed specifically for OpenClaw AI agents. It provides a centralized command center to monitor, organize, and optimize your entire AI workforce. With a hierarchical structure featuring 13 pre-built departments—including BOT, TREASURY, ENGINEER, and SECURITY—users can deploy and oversee specialized sub-agents with granular control. The dashboard offers real-time system monitoring (CPU, Memory, Disk, and GPU stats), robust authentication via JWT, and a polished, cream-themed responsive user interface. It acts as the backbone for scaling AI operations, allowing you to track credits, monitor task statuses, and ensure high availability across your agent ecosystem.

Installation

  1. Ensure your environment has Node.js v18+ (v22 recommended) and npm/yarn installed on an Ubuntu 24.04 environment.
  2. Execute the installation command: clawhub install openclaw/skills/skills/moeye/mission-control-dashboard.
  3. Navigate to the installation directory: cd mission-control-dashboard.
  4. Install necessary dependencies by running npm install.
  5. Configure your secure credentials by copying the environment template: cp .env.example .env, then update the file with your specific configuration keys using nano .env.
  6. Start the dashboard, ideally using PM2 for persistent production deployment.

Use Cases

  • Enterprise AI Management: Orchestrating dozens of sub-agents across diverse departments to streamline complex business workflows.
  • Resource Optimization: Identifying GPU-hungry agents to balance system load and reduce infrastructure costs.
  • Operational Oversight: Keeping real-time tabs on agent uptime and system health to prevent service disruptions.
  • Security Compliance: Implementing centralized login and session management for teams managing sensitive AI operations.

Example Prompts

  1. "Open the Mission Control Dashboard and show me the current status of all agents assigned to the SECURITY department."
  2. "Update the resource threshold for the ENGINEER department sub-agents and generate a usage report for the last 24 hours."
  3. "Provision a new sub-agent for the CONTENT department with full read/write permissions for the analytics database."

Tips & Limitations

  • Tip: Utilize the built-in GPU monitoring to automate agent scaling during high-compute tasks; it can significantly reduce overhead costs.
  • Tip: Regularly rotate your JWT secret keys defined in the .env file to maintain high security standards.
  • Limitation: This dashboard is optimized for Linux-based environments (Ubuntu 24.04); behavior on other operating systems may be inconsistent.
  • Limitation: Ensure your network is configured properly, specifically when using the included Cloudflare Tunnel for remote access, to avoid potential exposure of local endpoints.

Metadata

Author@moeye
Stars1401
Views1
Updated2026-02-24
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-moeye-mission-control-dashboard": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#dashboard#agent-management#ops#monitoring#infrastructure
Safety Score: 3/5

Flags: file-read, file-write, network-access