# Lumina

> Lumina — oemercemtabar-lumina. Use this tool when you need to create high-fidelity 3D head avatars from standard webcam feeds, solving issues with low-quality or static digital representations. Lumina's AI-powered Active Capture system takes in real-time webcam input and outputs animatable 3D digital twins, ideal for applications requiring realistic and dynamic character models. It is particularly useful in contexts such as virtual reality, gaming, and video conferencing, where realistic avatars enhance user experience.

Canonical page: https://skillsregistry.net/skills/oemercemtabar-lumina  
JSON: https://api.skillsregistry.net/v1/skills/oemercemtabar-lumina

## Description

Lumina: An AI-powered Active Capture system for high-fidelity 3D Head Avatars. Uses real-time pose guidance and 3D Gaussian Splatting to transform standard webcam feeds into animatable digital twins.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/oemercemtabar/Lumina)

## 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": "oemercemtabar-lumina"
    }
  }
}
```

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