# digital-twin-generation

> Use this tool when you need to create realistic virtual replicas of objects, people, or environments, and want to leverage AI-powered sensing capabilities to generate accurate digital twins and avatars. This tool solves problems in fields such as simulation, gaming, and virtual try-on, by providing photorealistic digital clones with precise details. It takes in sensory data as input and outputs high-fidelity digital twins, making it ideal for use cases where realistic virtual representation is crucial.

Canonical page: https://skillsregistry.net/skills/eftalyurtseven-digital-twin-generation  
JSON: https://api.skillsregistry.net/v1/skills/eftalyurtseven-digital-twin-generation

## Description

Generate photorealistic digital twins and avatar clones using each::sense AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-08-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/eftalyurtseven-digital-twin-generation)

## 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": "eftalyurtseven-digital-twin-generation"
    }
  }
}
```

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

---
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