Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
CellCog converts text descriptions, rough sketches, or product photos into production-ready GLB 3D models. It handles the full pipeline internally: reasoning about the object, generating an optimized reference image, and performing the 3D conversion. Batch generation lets you produce multiple models from a single prompt.
Unlike image-to-3D tools that require a clean, well-composed reference photo, this skill accepts unpolished or purely textual input and generates the reference itself before converting to 3D.
When to use it
- Generating a set of low-poly weapons for a mobile RPG
- Converting product photos to rotatable 3D models for an e-commerce store
- Turning a rough character sketch into a game-ready GLB asset
- Creating a matched furniture collection for a VR room configurator
- Producing tabletop miniature files for 3D printing from text descriptions
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Create 3D models for 5 fantasy weapons — enchanted longsword, dwarven war hammer, elven bow, shadow dagger, holy mace. Low poly, game-ready, PBR materials, GLB format.
- 1Parse the list and identify each weapon's visual characteristics
- 2Generate an optimized reference image for each weapon with correct composition and angle
- 3Convert each reference image to a textured 3D model
- 4Package each model as a GLB file with PBR materials embedded
- 5Return all 5 GLB files via daemon notification
5 GLB files, each a low-poly game-ready weapon with PBR materials, delivered when processing completes