customer-success-manager
SolidMonitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success
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Quality Score: 83/100
Skill Content
Details
- Author
- borghei
- Repository
- borghei/Claude-Skills
- Created
- 8 months ago
- Last Updated
- 4 weeks ago
- Language
- HTML
- License
- NOASSERTION
Integrates with
Bundled in these plugins
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Semantically similar based on skill content — not just same category
customer-success
Activates CustomerSuccess-Agent for customer retention, support, and success strategy. Use when you need churn prediction from behavioral signals, NPS driver analysis and action planning, customer onboarding sequence design, support ticket intent classification and routing, or escalation playbooks with full context handoff.
customer-success
Customer Success operating system - segmented coverage model, health scoring, risk playbooks, value reviews, and expansion motions tied to net revenue retention. Use when: customer success strategy, CS operating model, health score, risk playbook, EBR / QBR design, churn prevention, net retention, NRR, GRR, success plan, value realization, customer journey post-sale.
churn-risk
Score customer segments for churn risk from behavioral signals — email engagement decline, purchase recency, usage drops, support sentiment — producing a 0-100 risk scorecard with four tiers, per-tier intervention playbooks (actions, timing windows, channels, messaging), LTV-at-risk totals, and retention-ROI prioritization. Assesses and recommends; it does not send outreach or launch campaigns. Triggers on "/digital-marketing-pro:churn-risk", "which customers are about to churn", "score our segments for churn risk", "email engagement is dropping, who is at risk", "build a retention intervention plan". Pulls behavioral data from a connected CRM MCP (Salesforce or HubSpot) or user-provided exports, runs scripts/churn-predictor.py, and reads the brand profile for lifecycle context.