# DebateTalk

> Use this tool when you need to facilitate nuanced discussions and uncover diverse perspectives on complex topics, leveraging multiple AI models to identify areas of agreement, disagreement, and unique insights. DebateTalk solves problems of groupthink and biased decision-making by providing a structured debate framework with categorized outputs, including Strong Ground, Fault Lines, Blind Spots, and Your Call. It is ideal for use cases requiring informed decision-making, such as research, policy-making, and strategic planning, with interfaces available via web console and CLI.

Canonical page: https://skillsregistry.net/skills/debatetalk  
JSON: https://api.skillsregistry.net/v1/skills/debatetalk

## Description

Runs structured debates between multiple AI models (Claude, GPT, Gemini, Grok, DeepSeek) where each model argues independently in blind rounds, then deliberates and synthesizes findings. Outputs categorized into Strong Ground (agreement), Fault Lines (disagreements), Blind Spots (unique insights), and Your Call (human decisions needed). Offers free, pro, and enterprise tiers with a web console and CLI interface.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/debatetalk)
- **Repository:** <https://github.com/debatetalk-ai/mcp>

## 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": "debatetalk"
    }
  }
}
```

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