# turnwise

> turnwise — paiksca-turnwise. Use this tool when you need to evaluate and improve the quality of conversations, as it scores dialogue transcripts for bridging quality and provides per-speaker indicator scores with evidence. It solves problems related to conversation analysis, comparison, and parsing, offering valuable insights for improvement. The tool accepts dialogue transcripts as input and outputs detailed scores and analysis, making it ideal for applications in communication research, training, and development.

Canonical page: https://skillsregistry.net/skills/paiksca-turnwise  
JSON: https://api.skillsregistry.net/v1/skills/paiksca-turnwise

## Description

MCP server that scores dialogue transcripts for bridging quality, offering per-speaker indicator scores with evidence and tools for parsing, comparing, and analyzing conversations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o3enk2fikf)
- **Repository:** <https://github.com/paiksca/turnwise>

## 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": "paiksca-turnwise"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paiksca-turnwise` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paiksca-turnwise/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
