// Workflow for creating precise hard surface models in Blender using clean topology, subdivision workflows, bevel systems, and production-ready modeling techniques.
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| name | blender-hard-surface-modeling |
| description | Workflow for creating precise hard surface models in Blender using clean topology, subdivision workflows, bevel systems, and production-ready modeling techniques. |
This skill enables Claude to guide users through creating precise hard surface models in Blender.
The workflow focuses on:
The goal is to create clean, detailed, and realistic hard surface assets suitable for:
Unlike sculpting workflows, hard surface modeling prioritizes precision, edge definition, and controlled geometry.
Before starting:
Install Blender: https://www.blender.org
Open Blender and create a new project.
Switch to the Modeling Workspace.
Enable useful add-ons:
Edit → Preferences → Add-ons
Recommended:
Recommended tools:
Optional:
Use this skill when:
Do NOT use this skill for:
Create a cinematic sci-fi helmet for a product-style render.
Claude should:
Final result should:
Hard surface models rely heavily on clean geometry.
Good topology improves:
Preferred topology:
Avoid:
Subdivision workflows are central to hard surface modeling.
Typical workflow:
Subdivision modeling improves:
Bevels create realistic edge highlights.
Real-world objects rarely have perfectly sharp edges.
Preferred methods:
Bevel systems improve:
Modeling should progress from:
Claude should avoid:
Strong primary forms create better final models.
Whenever possible:
Recommended modifiers:
Non-destructive workflows improve:
Collect:
Analyze:
Good references improve modeling accuracy significantly.
Start with simple primitives:
Focus on:
Avoid detailing during this stage.
The blockout should establish:
Refine the mesh using:
Maintain:
Check topology regularly using:
After primary forms are stable:
Use details to support:
Avoid overcrowding the design.
Use:
Recommended workflow:
Validate:
Before rendering:
Ensure:
Before export or rendering validate:
Render test images to verify:
The final output should include:
The workflow itself should remain:
The agent should:
The workflow should optimize for: