Manage reminder.json and execute update-reminders.py for main agent maintenance.
npx skills add https://github.com/TeamWiseFlow/xiaobei --skill reminder-teamwiseflow
Please help me install this Agent Skill. Skill: reminder Source: https://github.com/TeamWiseFlow/xiaobei/tree/main/crews/main/skills/reminder Command: npx skills add https://github.com/TeamWiseFlow/xiaobei --skill reminder-teamwiseflow
This Skill ensures your main agent is effectively maintained by managing onboarding, work channel recommendations, HRBP enablement, and gateway restart follow-ups.
reminder.json for onboarding status, work channel setup, HRBP activation, and gateway restart reminders.update-reminders.py script during main agent heartbeat or upon onboarding requests.Use the reminder skill to check onboarding status with the command: python ./skills/reminder/scripts/update-reminders.py
High-intent search queries and answers about installing and using this skill.
Automate onboarding status checks by executing the update-reminders.py script, which updates the reminder.json configuration file. This script runs automatically during main agent heartbeats or onboarding requests to maintain status.
HRBP enablement and work channel configurations are managed within the reminder.json file. The system tracks activation status and updates configurations automatically via periodic Python script checks during agent maintenance.
Yes, the reminder system requires interaction with the main agent's configuration files, specifically reminder.json. It tracks gateway restart follow-ups and updates them automatically through the update-reminders.py script.
Manually trigger a reminder update by running the command: python ./skills/reminder/scripts/update-reminders.py. This executes the maintenance logic and refreshes onboarding, HRBP, and work channel data.
Yes, you can use Python scripts to handle periodic checks for work channel setup. The update-reminders.py script automatically executes during agent heartbeats to validate and update work channel configurations.
The limitation of this script-based reminder system is its basic implementation depth. It relies on direct interaction with configuration files and requires Python execution, lacking built-in UI for direct management.
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