Churn Prevention

I don't have access to the actual content of the SKILL.md file since the source appears empty, so I'll work with what you've provided. Here's the editor's note: Automates the detection and prevention of customer churn by analyzing usage patterns, engagement metrics, and behavioral signals that indicate someone might leave. You'd use this when you need to proactively identify at-risk customers before they cancel or stop using your product. It's the kind of thing that pays for itself quickly if your customer lifetime value is high, though you'll still need humans to actually reach out and address whatever's causing people to leave. Works best when you have decent historical data to learn from.