mission-control

What This Skill Does

Mission Control is a comprehensive web-based management dashboard specifically engineered for OpenClaw agents. It transforms the raw terminal-based interactions of an agent into a sleek, macOS-native experience. The skill serves as a central command hub, allowing users to oversee agent operations through visual interfaces rather than CLI commands. It aggregates key functionalities like real-time session tracking, cost monitoring, and task management, providing a unified view of your agent's health and productivity. By integrating with the OpenClaw gateway, it synchronizes effortlessly with your existing configurations, offering a robust suite of tools that includes a Kanban-style Workshop for task delegation, a Scout engine for proactive opportunity hunting, and granular cron job management.

Installation

Installation is streamlined for developers already familiar with the OpenClaw ecosystem. You can install it directly via your terminal using the command: clawhub install openclaw/skills/skills/jzineldin/openclaw-mission-control. Alternatively, for custom deployment, clone the repository from GitHub into your workspace, navigate to the folder, and run npm install. The dashboard build process requires an active Node.js 18+ environment. Once installed, copy the mc-config.default.json to mc-config.json to initialize your local settings. You can run the dashboard locally using node server.js or leverage the provided systemd service file for permanent, background production hosting. Ensure your OpenClaw gateway is active to enable real-time communication between your agent and the dashboard.

Use Cases

Mission Control is ideal for power users who manage multiple agent sessions simultaneously. It is particularly effective for users who require constant visibility into LLM token consumption, as the Cost Tracker provides real-time charts to avoid budget overruns. The 'Workshop' page is perfect for managing complex projects; you can assign sub-tasks to specialized sub-agents and track their progress through a Kanban board. The 'Scout' feature is highly beneficial for autonomous researchers, as it continuously monitors for relevant news, bounties, or gigs, turning the agent from a passive tool into a proactive asset. It is also an essential utility for developers needing to debug agent behavior by reviewing chat history and adjusting configuration settings on the fly.

Example Prompts

1. "Open the Mission Control dashboard and pull up the token usage report for the last 24 hours to see which model is costing the most."
2. "Add a new task to the Workshop: 'Research current industry trends for AI automation' and assign it to the Scout sub-agent."
3. "Show me the status of my cron jobs and trigger an immediate run for the daily report generator."

Tips & Limitations

To maximize the utility of the Scout engine, ensure you have a valid Brave Search API key configured in your settings. While the dashboard offers extensive control, remember that it relies on the underlying OpenClaw gateway; if the gateway experiences latency, the dashboard's live feed may show a slight delay. For security, ensure the dashboard is hosted on a secure network if exposed externally, as it provides administrative access to your agent's core functions. Always export your configuration periodically through the Settings page to maintain backups of your routing logic and custom parameters.