3d-model-generation

Name: 3d-model-generation
Availability: InStock
Author: marcoamu

Convert text prompts and reference images into 3D models with PBR textures.

1|Updated Mar 14, 2026

Search Tags:#architecture #generate #game-assets #3d-model #text-to-3d #pbr-textures #product-visualization

Ready to run

npx skills add https://github.com/marcoamu/openclaw-workspace --skill 3d-model-generation-marcoamu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: 3d-model-generation
Source: https://github.com/marcoamu/openclaw-workspace/tree/main/skills/3d-model-generation
Command: npx skills add https://github.com/marcoamu/openclaw-workspace --skill 3d-model-generation-marcoamu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill streamlines the creation of production-ready 3D assets by converting natural language prompts or reference images into ready-to-use models, textures, and formats, reducing manual modeling time and iteration cycles.

Core Features & Use Cases

Text-to-3D: Generate 3D models from descriptive prompts.
Image-to-3D: Convert reference images into 3D assets.
PBR Textures: Create albedo, normal, roughness, metallic, and AO maps for realistic materials.
Output Formats: GLB, GLTF, OBJ, FBX, USDZ for streaming, printing, and game engines.
Use Case: Architects, game studios, and product teams can rapidly populate scenes with asset packs and architectural models.

Quick Start

Describe the model you want and the desired output formats, and start the generation process.

Frequently Asked Questions about 3d-model-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate 3D models from text prompts for game development?▼

You can generate 3D models from text prompts by providing descriptive natural language input to produce ready-to-use assets. This text-to-3D process outputs common formats like GLB and FBX with PBR textures, reducing manual modeling time for game development.

Can I convert reference images into PBR textured 3D assets?▼

Yes, you can convert reference images into 3D assets through an image-to-3D workflow. The generated models include PBR texture maps such as Albedo, Normal, Roughness, Metallic, and AO for realistic material rendering.

What 3D file formats are supported for exporting models to game engines?▼

Supported 3D file formats include GLB, GLTF, OBJ, FBX, and USDZ. These formats ensure workflow compatibility with popular game engines, streaming applications, and 3D printing workflows for product visualization and architecture.

Does text-to-3D generation work for architectural visualization and product marketing?▼

Text-to-3D generation works for architectural visualization and product marketing by rapidly populating scenes with asset packs and architectural models. It enables rapid iteration and asset provisioning directly from textual prompts or image references.

What is the best way to create 3D game assets without manual modeling?▼

The best way to create 3D game assets without manual modeling is using a generation skill that converts prompts into production-ready models. This approach provides PBR textures and multiple export formats, streamlining iteration cycles for game studios.

What are the limitations of generating 3D models from text prompts?▼

Limitations of generating 3D models from text prompts include potential constraints on geometric complexity compared to manual modeling. While the process outputs PBR textures and standard formats, highly specialized or intricate asset detailing may still require additional refinement.