name: mrc-monitor description: 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.

MRC Canteen Monitor

Monitor MRC canteen order tokens and notify when they're ready for pickup.

Quick Start

When user sends any command containing canteen tokens:

1. Extract all token numbers from the message
2. Start the background monitor script
3. Respond immediately with confirmation

Command Recognition

Users may send tokens with various prefixes: - "mrc 73" or "mrc 73 97 42" - "token 73" or "token 73 97" - "monitor 73" - "check 73" (one-time check only)

Starting the Monitor

Extract all numbers from the user message and start the background monitor:

python3 skills/mrc-monitor/scripts/monitor.py <platform> <channel_id> <token1> <token2> ...

Where: - platform: "telegram" or "discord" - channel_id: Current channel identifier (platform prefix is optional, e.g., telegram_123 or 123 both work) - token1, token2, ...: Token numbers to monitor

Example:

python3 skills/mrc-monitor/scripts/monitor.py telegram telegram_6046286675 73 97 42
# or
python3 skills/mrc-monitor/scripts/monitor.py telegram 6046286675 73 97 42

Background Execution

Start the monitor as a background process so the agent responds immediately:

import subprocess

# channel_id can be with or without platform prefix (both work)
cmd = ['python3', 'skills/mrc-monitor/scripts/monitor.py',
       platform, channel_id] + [str(t) for t in tokens]
subprocess.Popen(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

Agent Response

After starting the monitor, respond immediately with:

✅ Monitoring tokens: 73, 97, 42
Checking every 15 seconds.
I'll notify you here when they're ready! 🍕

One-Time Check

For "check 73" commands, perform a single Firebase query and respond with status without starting a background monitor.

更多技能請訪問小蔥技能站7w4.net。

Monitor Behavior

The monitor script: - Polls Firebase Firestore every 15 seconds - Checks all monitored tokens in each poll - Sends "🍕 Order X is ready!" notification when a token's status is "Ready" - Removes notified tokens from the watch list - Exits automatically when all tokens are notified - Handles errors gracefully with retries - Logs all activity to skills/mrc-monitor/logs/monitor_YYYYMMDD_HHMMSS.log

Error Handling

The script automatically handles: - Network timeouts (retries up to 5 times) - HTTP errors (including rate limits) - Unexpected errors (stops after 5 consecutive failures) - Signal termination (SIGTERM, SIGINT)

On fatal errors, the script sends a notification before exiting.

Firebase Details

• Project: kanteen-mrc-blr-24cfa
• Collection: orders
• Document fields:
• studentId (string): "student-{token_number}"
• status (string): "Preparing", "Ready", "Completed"

這是一款實用的食堂訂單監控工具，能自動追蹤多個訂單狀態並在餐食就緒時及時通知你，省去了反覆重新整理檢視的麻煩。文件說明詳細易懂，工具執行穩定，錯誤處理機制完善，遇到網路問題會自動重試。唯一的不足是配置方式略顯簡陋，整體功能比較單一，僅針對 MRC 食堂場景使用。總體而言質量不錯，是同類場景中的良好解決方案。