# genpark-customer-feedback-feature-request-clusterer-skill

> genpark-customer-feedback-feature-request-clusterer-skill — alphaparkinc-genpark-customer-feedback-feature-request-clusterer-skill. Use this tool when you need to analyze and group customer feedback and feature requests to identify patterns and trends. It solves problems of manual categorization and prioritization, allowing for more efficient product development and customer satisfaction. The tool takes in customer feedback data and outputs clustered feature requests, providing valuable insights for product managers and developers.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-customer-feedback-feature-request-clusterer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-feedback-feature-request-clusterer-skill

## Description

Customer feedback & feature request clustering engine

## 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-feedback-feature-request-clusterer-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-feedback-feature-request-clusterer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-feedback-feature-request-clusterer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-customer-feedback-feature-request-clusterer-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