Generate, convert, and scale high-fidelity 3D models from text or images using the Neural4D API engine.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-3d-generation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-3d-generation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI 3D Generation?
The AI 3D Generation skill is a specialized technical framework within the Openclaw Skills library designed to automate the production of commercial-grade 3D assets. By interfacing with Neural4D APIs, this skill allows developers and AI agents to transform simple text prompts or 2D images into complex 3D geometry. It is specifically optimized for commercial pipelines where precision, physical dimensions, and specific file formats like STL or FBX are required.
Using this skill as part of your Openclaw Skills setup streamlines the entire asset lifecycle—from initial matting and image pre-processing to asynchronous generation and final format conversion. It provides a robust interface for handling the complexities of 3D modeling without the need for manual design software, making it an essential tool for automated manufacturing and digital content creation.
AI 3D Generation Use Cases
- Rapidly prototyping physical products by generating manufacturing-ready STL files from text descriptions
- Automating the creation of 3D game assets and environment props for virtual worlds
- Converting 2D product photography into 3D models for eCommerce AR visualization
- Batch processing and format conversion of existing assets for cross-platform compatibility within Openclaw Skills
How AI 3D Generation Works
- The agent receives a request containing either a text prompt or a path to a source image file.
- For image-based workflows, a multi-step matting pipeline extracts the subject and prepares a high-resolution file key.
- A generation request is submitted to the Neural4D engine, which returns a unique UUID for the asynchronous task.
- The skill enters a polling contract, checking the code status until the generation reaches a completion state.
- Upon completion, the model is downloaded as a GLB file or passed to a conversion endpoint to generate specific formats like FBX or USDZ with physical millimeter scaling.
AI 3D Generation Setup
To initialize the skill within Openclaw Skills, ensure that curl and jq are available in your environment. You must also configure your authentication credentials:
export NEURAL4D_API_TOKEN='your_api_key_here'
The skill will automatically utilize the configuration found in ~/neural4d-3d-generation/ for managing local assets and job tracking.
AI 3D Generation Data Schema & Taxonomy
The skill manages model metadata and job states through a structured API response system:
| Attribute | Type | Description |
|---|---|---|
uuid |
String | Unique job identifier used for polling and retrieval. |
codeStatus |
Integer | Status indicator: 0 (Success), 1 (In Progress), -3 (Failure). |
modelUrl |
String | Direct CDN link for the generated asset. |
points |
Integer | The API cost for the specific operation (e.g., 20 for Text-to-3D). |
modelType |
String | Export format extension such as stl, obj, fbx, or usdz. |
AI 3D Generation Advanced Features
- Asynchronous polling logic with progress percentage tracking for long-running generation jobs
- Triple-stage image-to-3D pipeline including specialized matting and file-key extraction
- Physical dimension control allowing models to be scaled to exact millimeter specifications for 3D printing
- Real-time API point balance monitoring to ensure cost-efficiency within Openclaw Skills automation
SKILL.md
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