# genpark-personalized-upsell-recommender-engine-skill

> genpark-personalized-upsell-recommender-engine-skill — alphaparkinc-genpark-personalized-upsell-recommender-engine-skill. Use this tool when you need to generate personalized product recommendations for upselling, solving the problem of increasing average order value and enhancing customer experience. It takes customer data and purchase history as input and outputs tailored product suggestions, making it ideal for e-commerce and retail applications. This skill is particularly useful in contexts where maximizing sales and customer satisfaction are key objectives.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-personalized-upsell-recommender-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-personalized-upsell-recommender-engine-skill

## Description

Personalized items recommendation upsell picker

## 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-personalized-upsell-recommender-engine-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-personalized-upsell-recommender-engine-skill"
    }
  }
}
```

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