# genpark-amazon-author-ranker

> genpark-amazon-author-ranker — alphaparkinc-genpark-amazon-author-ranker. Use this tool when you need to rank authors on Amazon based on their performance metrics, solving problems such as identifying top-selling authors or tracking author popularity. It takes in author data as input and outputs a ranked list of authors, providing a valuable interface for analyzing author success. Use it in contexts where author ranking is crucial, such as book marketing or publishing decisions.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-amazon-author-ranker  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-amazon-author-ranker

## Description

GenPark Distilled Skill: amazon-author-ranker

## Trust

- **Trust score (0–1):** 0.98
- **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-amazon-author-ranker)

## 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-amazon-author-ranker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-amazon-author-ranker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-amazon-author-ranker/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