# genpark-product-review-sentiment-analyzer-skill

> genpark-product-review-sentiment-analyzer-skill — alphaparkinc-genpark-product-review-sentiment-analyzer-skill. Use this tool when you need to analyze customer reviews and extract sentiment insights, solving problems such as understanding product satisfaction and identifying areas for improvement. It takes customer review text as input and outputs a satisfaction radar breakdown, providing a detailed aspect-level sentiment analysis. Ideal for use cases where businesses want to gauge customer opinions and emotions towards their products or services.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-product-review-sentiment-analyzer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-product-review-sentiment-analyzer-skill

## Description

Customer review aspect-level sentiment mining engine extracting satisfaction radar breakdown

## 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-product-review-sentiment-analyzer-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-product-review-sentiment-analyzer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-product-review-sentiment-analyzer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-product-review-sentiment-analyzer-skill/pull`

---
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