What is churn-prediction?
Identify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel Source: guia-matthieu/clawfu-skills.
Identify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel
Quickly install churn-prediction AI skill to your development environment via command line
Source: guia-matthieu/clawfu-skills.
Detect early warning signals of customer churn through systematic analysis of usage patterns, support interactions, and relationship health.
Based on Lincoln Murphy's Churn Analysis and ProfitWell Retention Research, analyzing:
| Identifies risk signals | Save vs. let go decisions | | Calculates risk scores | Resource allocation | | Suggests interventions | Discount/concession offers | | Prioritizes at-risk accounts | Executive escalation timing | | Analyzes churn patterns | Retention strategy changes |
Identify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel Source: guia-matthieu/clawfu-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill churn-predictionIdentify at-risk customers using behavioral signals, engagement patterns, and health indicators before they cancel Source: guia-matthieu/clawfu-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/guia-matthieu/clawfu-skills --skill churn-prediction Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/guia-matthieu/clawfu-skills