Real-time token monitoring for MRC canteen order system. Monitors Firebase Firestore for token status and notifies when orders are ready. Use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. Handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mrc-monitorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mrc-monitorβ 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/mrc-monitor/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationPlatforms
What Mrc Monitor can do for your AI workflow
Real-time token monitoring directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,837+ 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 Mrc Monitor
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
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Staying on top of communications across multiple channels is a real challenge for modern teams. Mrc Monitor helps by enabling real-time token monitoring for mrc canteen order system. monitors firebase firestore for token status and notifies when orders are ready. use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready directly from your AI assistant, without switching apps or logging into separate platforms.
Mrc Monitor 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 Mrc Monitor 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.
Mrc Monitor installs like any other MCP skill: drop the folder into `~/.claude/skills/mrc-monitor/` for global access, or `.claude/skills/mrc-monitor/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/mrc-monitor`, or let the AI decide when it's the right tool for your request.
Mrc Monitor has been installed 1,837 times, making it one of the more actively used skills in the Communication 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/mrc-monitor/ for personal use (all projects), or .claude/skills/mrc-monitor/ for project-specific use. Restart your AI client, then invoke with /mrc-monitor or let the AI discover it automatically.
Mrc Monitor supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Mrc Monitor is free to install. Check the repository for licensing information.
Real-time token monitoring for MRC canteen order system. Monitors Firebase Firestore for token status and notifies when orders are ready. Use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. Handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready.
Monitoring
Set up observability for applications and infrastructure with metrics, logs, traces, and alerts.
Monitor
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Mrc Monitor is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.
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