A powerful AI skill for generating professional-grade 3D models from natural language prompts or 2D images via the Tripo3D API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tripo3d
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tripo3d using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tripo3D AI 3D Generation skill is a specialized integration for Openclaw Skills that enables developers and creators to transform ideas into three-dimensional reality. By leveraging the advanced Tripo3D API, this skill allows AI agents to handle complex 3D asset creation workflows including text-to-3D, image-to-3D, and multiview reconstruction.
Whether you are building a game, a virtual environment, or a product showcase, this skill streamlines the process of generating, refining, and downloading high-quality GLB and FBX files. It manages the entire lifecycle of a 3D asset, from initial task creation to asynchronous polling and final file retrieval, ensuring a seamless experience for Openclaw Skills users.
To use this integration with Openclaw Skills, you must configure your API key and environment.
TRIPO3D_API_KEY environment variable in your system.# Example of checking connectivity via PowerShell
Invoke-RestMethod -Uri 'https://api.tripo3d.ai/v2/openapi/user/balance' -Headers @{ 'Authorization' = 'Bearer YOUR_KEY' } -Proxy 'http://127.0.0.1:7897'
The skill organizes output data based on the Tripo3D task response structure. Below is the primary data mapping for generated assets:
| Data Field | Description | Format |
|---|---|---|
| pbr_model.url | The primary 3D model file | GLB / FBX |
| generated_image.url | AI-generated concept art used for the model | JPEG/PNG |
| rendered_image.url | A 2D preview render of the final 3D model | JPEG/PNG |
| task_id | Unique identifier for tracking and refining the model | UUID |
| status | Current state (queued, running, success, failed) | String |
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