# holocube-emotes

> holocube-emotes — thrive-spencerj-holocube-emotes. Use this tool when you need to visually express emotions or reactions through a GeekMagic holocube display, solving the problem of limited non-verbal communication in AI interactions. It takes emotional states or commands as input and outputs corresponding holographic emotes, enhancing user experience and engagement. Ideal for use in conversational AI, virtual assistants, or social robots that require expressive and interactive communication.

Canonical page: https://skillsregistry.net/skills/thrive-spencerj-holocube-emotes  
JSON: https://api.skillsregistry.net/v1/skills/thrive-spencerj-holocube-emotes

## Description

Control a GeekMagic holocube display as an AI emote system.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/thrive-spencerj-holocube-emotes)

## 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": "thrive-spencerj-holocube-emotes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/thrive-spencerj-holocube-emotes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/thrive-spencerj-holocube-emotes/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