Account Health
Skill Verified ActiveAssess customer account health using product usage, support sentiment, payment status, and relationship signals
To provide a standardized and data-driven method for evaluating customer account health, enabling proactive customer success management and risk mitigation.
Features
- Structured health scoring framework
- Multi-factor analysis (product, support, financial, relationship)
- Early risk identification signals
- Trend analysis of health trajectory
- Actionable intervention recommendations by health tier
Use Cases
- Conducting monthly/quarterly account reviews
- Building customer health dashboards
- Prioritizing customer success manager attention
- Assessing churn risk and identifying expansion opportunities
Non-Goals
- Accessing real-time product usage data directly
- Predicting exact churn timing
- Replacing CSM judgment and relationship context
- Handling complex multi-product customer relationships directly
Workflow
- Define health dimensions and weights
- Score each dimension based on provided metrics
- Calculate composite health score
- Assign health status (Healthy, Monitor, At Risk, Critical)
- Identify trend direction (Improving, Stable, Declining)
- Generate recommended actions
Practices
- Customer Success Methodology
- Data-Driven Analysis
- Risk Management
- Actionable Reporting
Prerequisites
- Customer data (usage, support, payment, relationship signals)
Compliance
- info:GDPRThe skill operates on provided customer data which may include personal data, and while it doesn't submit it to a third party, there's no explicit sanitization before LLM processing.
Installation
npx skills add guia-matthieu/clawfu-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
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