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

> genpark-product-review-sentiment-analyzer-skill — alpha-park-genpark-product-review-sentiment-analyzer-skill. Use this tool when you need to analyze customer reviews and extract sentiment insights, breaking down satisfaction levels for specific product aspects. It solves problems related to understanding customer opinions and preferences, providing valuable feedback for product improvement. The tool takes customer review texts as input and outputs a detailed sentiment analysis, making it ideal for use cases such as product development, marketing research, and customer service optimization.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-product-review-sentiment-analyzer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-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/Alpha-Park/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": "alpha-park-genpark-product-review-sentiment-analyzer-skill"
    }
  }
}
```

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