# Twin Persona

> Use this tool when you need to create realistic user personas for testing and prototyping, to mirror real-world behavior and improve product development. It generates personas from connected accounts or custom guidance, solving problems of inaccurate user representation and inefficient testing. The tool accepts custom input and outputs personas in multiple formats for easy sharing and integration.

Canonical page: https://skillsregistry.net/skills/erniesg-twin  
JSON: https://api.skillsregistry.net/v1/skills/erniesg-twin

## Description

Generate personas for testing and prototyping. Build from your connected accounts or custom guidance to mirror real-world behavior. Export in multiple formats for easy sharing and integration.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/erniesg/twin)

## 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": "erniesg-twin"
    }
  }
}
```

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