# genpark-customer-health-credit-burn-tracker-skill

> genpark-customer-health-credit-burn-tracker-skill — alpha-park-genpark-customer-health-credit-burn-tracker-skill. Use this tool when you need to track prepaid credit burn rates in real-time to predict runway days, assess customer health scores, and identify upsell opportunities. It solves problems related to revenue forecasting, customer churn, and sales strategy by providing actionable insights. Input customer credit data and receive outputs on burn velocity, health scores, and upsell triggers to inform business decisions.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-customer-health-credit-burn-tracker-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-customer-health-credit-burn-tracker-skill

## Description

Real-time prepaid credit burn velocity tracker calculating runway days, health scores, and upsell triggers inspired by Metronome

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-customer-health-credit-burn-tracker-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-customer-health-credit-burn-tracker-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-customer-health-credit-burn-tracker-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-customer-health-credit-burn-tracker-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
