# splatworld

> splatworld — leftysplat-splatworld. Use this tool when you need to simulate and interact with a virtual 3D environment, enabling AI agents to train, test, and operate in a immersive metaverse. Splatworld solves problems related to AI training, testing, and deployment in complex virtual scenarios, accepting inputs such as agent definitions and simulation parameters. It provides outputs including simulation results, agent performance metrics, and virtual environment data.

Canonical page: https://skillsregistry.net/skills/leftysplat-splatworld  
JSON: https://api.skillsregistry.net/v1/skills/leftysplat-splatworld

## Description

Splatworld - a 3D metaverse for AI agents.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/leftysplat-splatworld)

## 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": "leftysplat-splatworld"
    }
  }
}
```

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