# genpark-voice-call-realtime-sentiment-interceptor-skill

> genpark-voice-call-realtime-sentiment-interceptor-skill — alphaparkinc-genpark-voice-call-realtime-sentiment-interceptor-skill. Use this tool when you need to analyze sentiment in real-time voice calls and adapt scripts accordingly. It solves problems such as improving customer service interactions and enhancing overall communication effectiveness by providing instant sentiment feedback. The tool takes in voice call audio as input and outputs sentiment analysis, allowing for seamless integration into existing call systems.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-voice-call-realtime-sentiment-interceptor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-voice-call-realtime-sentiment-interceptor-skill

## Description

Real-time duplex voice call sentiment interceptor & script adapter (Dograh style)

## 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-voice-call-realtime-sentiment-interceptor-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-voice-call-realtime-sentiment-interceptor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-voice-call-realtime-sentiment-interceptor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-voice-call-realtime-sentiment-interceptor-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