An AI-powered skill that converts standard photos into high-quality screenshots of 3D models within a professional Blender-style viewport environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-3d-rendering-openapi-skill
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-rendering-openapi-skill 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 Rendering OpenAPI Skill?
The AI 3D Rendering OpenAPI Skill is a specialized tool designed for Openclaw Skills users who need to visualize real-world objects as digital assets. By interfacing with the WeShop OpenAPI, this skill automates the complex process of generating a professional 3D workspace aesthetic. It places your subject onto a 3D grid with realistic shading and UI toolbars, mimicking the look of an active design session in software like Blender.
This skill is particularly valuable for developers and designers who want to create 3D asset previews without manual modeling. It handles the image processing, environment generation, and UI overlay automatically, delivering a 4k resolution screenshot that looks like a native 3D modeling workspace.
AI 3D Rendering OpenAPI Skill Use Cases
- Generating marketing materials for digital products to show a 'work-in-progress' 3D design phase.
- Rapid prototyping of e-commerce product visualizations in a 3D context.
- Automating the creation of 3D modeling tutorials or documentation screenshots.
- Visualizing 2D assets as professional 3D viewport assets for portfolio displays.
How AI 3D Rendering OpenAPI Skill Works
- The skill captures a local or remote image URL provided by the user.
- If the image is local, it is uploaded via the WeShop assets endpoint to generate a reusable URL.
- An execution run is initiated by sending a POST request to the OpenAPI agent with specific 3D rendering parameters.
- The system monitors the run status through periodic polling (Checking states like Segmenting and Running).
- Once the status reaches Success, the skill retrieves the final high-resolution 3D viewport image from the execution results.
AI 3D Rendering OpenAPI Skill Setup
To use this within the Openclaw Skills ecosystem, you must configure your API credentials.
- Obtain your API key from WeShop OpenAPI.
- Export the key to your environment:
export WESHOP_API_KEY='your_api_key_here'
- Ensure your agent has HTTPS access to
openapi.weshop.ai.
AI 3D Rendering OpenAPI Skill Data Schema & Taxonomy
The skill manages data through the following structure:
| Data Object | Description |
|---|---|
| Input Image | A single image URL passed in the input.images array. |
| Run Parameters | Configuration including textDescription (prompt) and batchCount (1-16 images). |
| Execution ID | A unique identifier used to track the progress of the 3D rendering task. |
| Result Metadata | Final images are stored in a nested structure: data.executions[*].result[*].image. |
AI 3D Rendering OpenAPI Skill Advanced Features
- Custom Rendering Instructions: Override the default Blender-style prompt with your own specific 3D environment descriptions.
- Batch Processing: Generate up to 16 different variations of the 3D rendering in a single execution call.
- Automated Image Hosting: Built-in support for uploading local files to the WeShop cloud before processing.
- Real-time Status Tracking: Granular lifecycle monitoring from initial segmentation to final output.
SKILL.md
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