# 3d-model-generation

> Use this tool when you need to create realistic 3D models from various inputs, such as text or images, to solve problems like rapid prototyping, architecture visualization, or game development. It takes in descriptive inputs and outputs fully-formed 3D models, streamlining the design process. Ideal for use cases where quick and accurate 3D modeling is required, such as urban planning, product design, or virtual reality experiences.

Canonical page: https://skillsregistry.net/skills/eftalyurtseven-3d-model-generation  
JSON: https://api.skillsregistry.net/v1/skills/eftalyurtseven-3d-model-generation

## Description

Generate 3D models using each::sense AI.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-16

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/eftalyurtseven-3d-model-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-3d-model-generation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eftalyurtseven-3d-model-generation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eftalyurtseven-3d-model-generation/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