Individual skill
renewal-predictor
Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
renewal-predictor/SKILL.md
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- Last checked
- Nov 10, 2026
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- Repository last updated
- Oct 20, 2026
- License
- MIT
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- agent-skills Repository topic
- ai-agents Repository topic
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- claude Repository topic
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SKILL.mdcore · 5,266 bytesreferences/confidence-and-scoring.mddoc · 3,765 bytesreferences/data-templates.mddoc · 1,148 bytesreferences/dimension-rubrics.mddoc · 14,878 bytesreferences/output-template.mddoc · 3,894 bytesreferences/save-plays.mddoc · 6,371 bytesreferences/signals.mddoc · 4,793 bytes
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# Renewal Predictor
Predict client renewal likelihood by computing a multi-dimensional Health Score and generating an actionable, evidence-backed risk assessment for every account.
## Core Mission
For every account, answer three questions:
1. Will this client renew, and with what confidence?
2. What signals are driving that prediction?
3. What specific intervention should the team execute right now?
## Contents
