# genpark-personalized-beauty-subscription-box-recommender-skill

> genpark-personalized-beauty-subscription-box-recommender-skill — alphaparkinc-genpark-personalized-beauty-subscription-box-recommender-skill. Use this tool when you need to recommend personalized beauty subscription boxes or curate user profiles based on individual preferences. It solves the problem of matching users with relevant beauty products and streamlines the subscription box recommendation process. The tool takes user input and preferences as inputs and outputs tailored beauty box recommendations.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-personalized-beauty-subscription-box-recommender-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-personalized-beauty-subscription-box-recommender-skill

## Description

Personalized beauty subscription box recommender and profile curation (ipsy 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-personalized-beauty-subscription-box-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-personalized-beauty-subscription-box-recommender-skill"
    }
  }
}
```

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