Customer Success Manager
Monitors customer health, predicts churn risk, and identifies expansion opportunities...
Install
npx skills add borghei/Claude-Skills --skill customer-success-manager -g -a claude-code -y- Repository
- borghei/Claude-Skills1k
- Category
- Engineering
- Updated
- 12d ago
- License
- MIT + Commons Clause
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
Customer Success Manager
Production-grade customer success analytics with multi-dimensional health scoring, churn risk prediction, and expansion opportunity identification. Three Python CLI tools provide deterministic, repeatable analysis using standard library only -- no external dependencies, no API calls, no ML models.
Table of Contents
- Capabilities
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Reference Guides
- Templates
- Best Practices
- Limitations
Capabilities
- Customer Health Scoring: Multi-dimensional weighted scoring across usage, engagement, support, and relationship dimensions with Red/Yellow/Green classification
- Churn Risk Analysis: Behavioral signal detection with tier-based intervention playbooks and time-to-renewal urgency multipliers
- Expansion Opportunity Scoring: Adoption depth analysis, whitespace mapping, and revenue opportunity estimation with effort-vs-impact prioritization
- Segment-Aware Benchmarking: Configurable thresholds for Enterprise, Mid-Market, and SMB customer segments
- Trend Analysis: Period-over-period comparison to detect improving or declining trajectories
- Executive Reporting: QBR templates, success plans, and executive business review templates
Input Requirements
All scripts accept a JSON file as positional input argument. See assets/sample_customer_data.json for complete examples.
