# genpark-conversational-commerce-recommendation-engine-skill

> genpark-conversational-commerce-recommendation-engine-skill — alphaparkinc-genpark-conversational-commerce-recommendation-engine-skill. Use this tool when you need to optimize shopping experiences with smart recommendations, solving problems of ingredient selection and price optimization for users. It takes user preferences and shopping history as inputs and outputs personalized product suggestions, streamlining the online shopping process. Ideal for e-commerce platforms and conversational commerce applications, it enhances user engagement and conversion rates.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-conversational-commerce-recommendation-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-commerce-recommendation-engine-skill

## Description

Smart ingredient & price-optimized shopping recommendation agent (Konvy 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-conversational-commerce-recommendation-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-conversational-commerce-recommendation-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-commerce-recommendation-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-commerce-recommendation-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