# genpark-turn-by-turn-conversational-slot-filler-skill

> genpark-turn-by-turn-conversational-slot-filler-skill — alphaparkinc-genpark-turn-by-turn-conversational-slot-filler-skill. Use this tool when you need to process turn-by-turn spoken dialogue and extract relevant entities and slots. It solves problems related to conversational data processing, such as intent identification and context understanding, and takes in spoken dialogue as input, outputting filled slots and extracted entities. Ideal for applications like virtual assistants or chatbots, this skill streamlines conversational data extraction and processing.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-turn-by-turn-conversational-slot-filler-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-turn-by-turn-conversational-slot-filler-skill

## Description

Turn-by-turn spoken dialogue entity & slot filler (ThunderPhone / Vapi)

## 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-turn-by-turn-conversational-slot-filler-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-turn-by-turn-conversational-slot-filler-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-turn-by-turn-conversational-slot-filler-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-turn-by-turn-conversational-slot-filler-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