Customer Success Manager
Use when reviewing customer accounts for health, churn risk or expansion.
Install
npx skills add alirezarezvani/claude-skills --skill customer-success-manager -g -a claude-code -y- Repository
- alirezarezvani/claude-skills29.1k
- Category
- Engineering
- Updated
- 4d ago
- License
- MIT
- Context cost
- Mediumabout 2,077 tokens
- Runs scripts
- Yes, review before use
What it does
Use when reviewing customer accounts for health, churn risk or expansion. Scores health with health_score_calculator.py, churn with churn_risk_analyzer.py and upsell with expansion_opportunity_scorer.py.
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
- Input Requirements
- Output Formats
- How to Use
- Scripts
- Reference Guides
- Templates
- Best Practices
- Limitations
Input Requirements
All scripts accept a JSON file as positional input argument. See assets/sample_customer_data.json for complete schema examples and sample data.
Health Score Calculator
Required fields per customer object: customer_id, name, segment, arr, and nested objects usage (login_frequency, feature_adoption, dau_mau_ratio), engagement (support_ticket_volume, meeting_attendance, nps_score, csat_score), support (open_tickets, escalation_rate, avg_resolution_hours), relationship (executive_sponsor_engagement, multi_threading_depth, renewal_sentiment), and previous_period scores for trend analysis.
Churn Risk Analyzer
Required fields per customer object: customer_id, name, segment, arr, contract_end_date, and nested objects usage_decline, engagement_drop, support_issues, relationship_signals, and commercial_factors.
Expansion Opportunity Scorer
Required fields per customer object: customer_id, name, segment, arr, and nested objects contract (licensed_seats, active_seats, plan_tier, available_tiers), product_usage (per-module adoption flags and usage percentages), and departments (current and potential).
Output Formats
All scripts support two output formats via the --format flag:
