Does this skill require external API connections?

No, the tools use the Python standard library and process local JSON files, ensuring data privacy and zero external dependencies.

Does it include reporting templates?

Yes, it provides standardized Markdown templates for Quarterly Business Reviews (QBRs), Success Plans, and onboarding checklists.

What customer segments are supported?

The skill includes built-in benchmarking for Enterprise, Mid-Market, and SMB segments with adjustable thresholds for each.

Can I customize the scoring weights?

Yes, the health and churn models use configurable weights for dimensions like usage, engagement, and support to fit your specific business requirements.

What formats are the analysis results provided in?

All scripts support human-readable text for terminal viewing and machine-readable JSON for integration into your existing data pipelines.

Customer Success Manager

Name: Customer Success Manager
Author: oabdelmaksoud

byoabdelmaksoud

0•

Analytics & Monitoring

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

The Customer Success Manager skill provides production-grade analytics through a suite of deterministic Python CLI tools designed for SaaS customer portfolio management. It enables users to perform multi-dimensional health scoring across usage, engagement, and relationship metrics, detect early churn signals with tier-based intervention playbooks, and map out revenue expansion opportunities. By utilizing segment-aware benchmarking and standardized reporting templates like QBRs and Success Plans, it helps teams transition from reactive troubleshooting to proactive account management without requiring external APIs or complex machine learning models.

Key Features

010 GitHub stars

02Signal-based churn risk analysis with automated intervention recommendations

03Segment-aware benchmarking for Enterprise, Mid-Market, and SMB accounts

04Expansion opportunity mapping for upsell and cross-sell prioritization

05Standardized templates for QBRs, Success Plans, and Executive Reviews

06Multi-dimensional weighted health scoring across four key customer dimensions

Use Cases

01Preparing data-driven Quarterly Business Reviews (QBRs) for enterprise clients

02Prioritizing account expansion efforts based on feature adoption and usage depth

03Identifying high-risk SaaS accounts for immediate executive intervention

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add oabdelmaksoud/superclaw customer-success-manager

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Signal-based churn risk analysis with automated intervention recommendations

03Segment-aware benchmarking for Enterprise, Mid-Market, and SMB accounts

04Expansion opportunity mapping for upsell and cross-sell prioritization

05Standardized templates for QBRs, Success Plans, and Executive Reviews

06Multi-dimensional weighted health scoring across four key customer dimensions

Use Cases

01Preparing data-driven Quarterly Business Reviews (QBRs) for enterprise clients

02Prioritizing account expansion efforts based on feature adoption and usage depth

03Identifying high-risk SaaS accounts for immediate executive intervention