Does this skill require external API access?

No, the included Python tools use only the standard library and process local JSON files without any external dependencies or API calls.

How do I integrate my CRM data with these tools?

You can export your customer data from your CRM or CS platform into the required JSON format to run the health, risk, and expansion scripts.

Can I customize the scoring weights?

Yes, the scripts are designed to be configurable, allowing you to align the weighted models with your specific product usage patterns and industry benchmarks.

Are the churn predictions based on AI?

No, the predictions are deterministic and algorithmic, based on weighted behavioral signals rather than black-box machine learning models.

What customer segments does it support?

The skill includes built-in logic and configurable thresholds tailored specifically for Enterprise, Mid-Market, and SMB customer segments.

Customer Success Manager Analytics

Name: Customer Success Manager Analytics
Author: alirezarezvani

byalirezarezvani

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1,982

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分析と監視

Analyzes SaaS customer health, predicts churn risks, and identifies revenue expansion opportunities using deterministic weighted scoring models.

This skill equips Claude with specialized tools for SaaS customer success management, featuring three production-grade Python scripts for health scoring, churn risk analysis, and expansion mapping. By processing customer data through multi-dimensional weighted models—covering usage, engagement, and relationship signals—it provides actionable insights and segment-aware benchmarking for Enterprise, Mid-Market, and SMB accounts. It is an essential toolkit for CSMs and account managers looking to automate portfolio reviews, prepare for QBRs, and proactively manage customer retention and growth without requiring external APIs or complex ML infrastructure.

主な機能

01Behavioral churn risk detection using weighted signal analysis and intervention playbooks.

02Expansion opportunity scoring to identify upsell, cross-sell, and seat growth potential.

031,982 GitHub stars

04Executive reporting templates for QBRs, success plans, and business reviews.

05Segment-aware benchmarking for Enterprise, Mid-Market, and SMB cohorts.

06Multi-dimensional health scoring with Red/Yellow/Green classification across usage and engagement.

ユースケース

01Identifying high-probability expansion opportunities within healthy customer accounts.

02Preparing data-driven insights and metrics for Quarterly Business Reviews (QBRs).

03Automating weekly portfolio health reviews to prioritize at-risk accounts.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add alirezarezvani/claude-skills customer-success-manager

For use in Claude.ai and ChatGPT

Download Skill