# genpark-multi-touch-ad-attribution-shapley-resolver-skill

> genpark-multi-touch-ad-attribution-shapley-resolver-skill — alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-skill. Use this tool when you need to accurately attribute ad spend to multiple touchpoints and calculate return on ad spend (ROAS) contributions. It solves problems of unclear ad attribution and inefficient budget allocation by providing Shapley values for fair contribution assessment. The tool takes in ad interaction data and outputs detailed attribution reports, ideal for use in marketing analytics and optimization contexts.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-skill

## Description

Multi-touch ad attribution Shapley value & ROAS contribution resolver (Triple Whale)

## 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/Alpha-Park/genpark-multi-touch-ad-attribution-shapley-resolver-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": "alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-touch-ad-attribution-shapley-resolver-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