# genpark-conversational-gift-style-consultation-matcher-skill

> genpark-conversational-gift-style-consultation-matcher-skill — alphaparkinc-genpark-conversational-gift-style-consultation-matcher-skill. Use this tool when you need to provide personalized gift recommendations through conversational interfaces, solving problems of uncertain gift choices and style mismatches. It takes user inputs on preferences and style, and outputs tailored gift suggestions, facilitating a multi-turn consultation process. Ideal for e-commerce, customer service, or virtual assistance applications where gift-giving advice is required.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-conversational-gift-style-consultation-matcher-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-gift-style-consultation-matcher-skill

## Description

Conversational multi-turn gift & aesthetic style consultation matcher (Claude)

## 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-gift-style-consultation-matcher-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-gift-style-consultation-matcher-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-gift-style-consultation-matcher-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-conversational-gift-style-consultation-matcher-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