# crowdmind

> crowdmind — brokenwatch24-crowdmind. Use this tool when you need to create and test AI personas, or simulate human-like interactions to validate stimuli. Crowdmind solves problems in AI development, user research, and human-computer interaction by providing a desktop app interface to build and test persona panels. It accepts AI models and stimuli as inputs and outputs test results and insights, ideal for use cases in AI training, user experience design, and market research.

Canonical page: https://skillsregistry.net/skills/brokenwatch24-crowdmind  
JSON: https://api.skillsregistry.net/v1/skills/brokenwatch24-crowdmind

## Description

Desktop app for building AI persona panels and testing stimuli against them (Electron + React + TypeScript)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Brokenwatch24/crowdmind)

## 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": "brokenwatch24-crowdmind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brokenwatch24-crowdmind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brokenwatch24-crowdmind/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
