# genpark-customer-journey-friction-churn-detector-skill

> genpark-customer-journey-friction-churn-detector-skill — alphaparkinc-genpark-customer-journey-friction-churn-detector-skill. Use this tool when you need to identify friction points and potential churn signals in customer journeys, enabling proactive customer success management (CSM) workflows. It analyzes customer interactions to detect early warning signs of churn, providing outputs for targeted interventions. Ideal for use in customer-facing applications, such as sales and success platforms, where timely intervention can improve customer retention.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-customer-journey-friction-churn-detector-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-journey-friction-churn-detector-skill

## Description

Customer journey friction and churn signal detector with proactive CSM workflows (Gong style)

## 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/alphaparkinc/genpark-customer-journey-friction-churn-detector-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": "alphaparkinc-genpark-customer-journey-friction-churn-detector-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-journey-friction-churn-detector-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-journey-friction-churn-detector-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