# genpark-custom-product-recommender-skill

> genpark-custom-product-recommender-skill — alphaparkinc-genpark-custom-product-recommender-skill. Use this tool when you need to generate personalized product recommendations based on user input from quizzes or surveys. It solves the problem of matching users with relevant products, enhancing their shopping experience and increasing sales. The tool takes quiz input answers as inputs and outputs customized product matches, ideal for e-commerce and retail applications.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-custom-product-recommender-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-custom-product-recommender-skill

## Description

GenPark AI Skill - Recommend product matches from quiz input answers

## 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-custom-product-recommender-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-custom-product-recommender-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-custom-product-recommender-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-custom-product-recommender-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