# genpark-creator-audience-lookalike-cluster-finder-skill

> genpark-creator-audience-lookalike-cluster-finder-skill — alphaparkinc-genpark-creator-audience-lookalike-cluster-finder-skill. Use this tool when you need to identify similar audience clusters and affinity overlaps for creators, helping to solve problems like targeted marketing and audience expansion. It takes in creator audience data and outputs lookalike clusters and overlap insights, enabling informed marketing strategies. Ideal for use cases where understanding audience similarities and shared interests is crucial, such as influencer marketing and content creation.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-creator-audience-lookalike-cluster-finder-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-lookalike-cluster-finder-skill

## Description

Creator audience lookalike cluster finder & affinity overlap (Modash style)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-creator-audience-lookalike-cluster-finder-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-creator-audience-lookalike-cluster-finder-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-lookalike-cluster-finder-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-lookalike-cluster-finder-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