# genpark-marketing-cloud-sql-audience-generator-skill

> genpark-marketing-cloud-sql-audience-generator-skill — alphaparkinc-genpark-marketing-cloud-sql-audience-generator-skill. Use this tool when you need to generate Marketing Cloud SQL queries from natural language audience intents, solving problems of manual query creation and streamlining audience segmentation. It takes natural language inputs and produces corresponding SQL queries as outputs, simplifying the process of targeting specific audience groups. Ideal for use cases where marketing teams need to efficiently create and manage audience segments based on complex intent-based criteria.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-marketing-cloud-sql-audience-generator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-marketing-cloud-sql-audience-generator-skill

## Description

Natural language audience intent to Marketing Cloud SQL generator

## 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-marketing-cloud-sql-audience-generator-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-marketing-cloud-sql-audience-generator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-marketing-cloud-sql-audience-generator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-marketing-cloud-sql-audience-generator-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