Works with
Customer Success Manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce det
Optimized workflow
This edition turns the source methodology into a repeatable agent workflow with explicit inputs, checkpoints and deliverables.
Quality standard
- Confirm scope and missing inputs before execution
- Ground decisions in available evidence and preserve source constraints
- Return an actionable result with assumptions, risks and next steps
Agent compatibility
The same core method is packaged for Claude, Codex, GPT, Gemini, Cursor and OpenCode.
Permissions & security
Source verified · conversion tested · security signals reviewed