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3d Modeling

  • 139 installs
  • 6 repo stars
  • Updated March 13, 2026
  • alphaonedev/openclaw-graph

Produce or refine 3D models for games, product viewers, marketing scenes, or interactive web experiences when an agent needs mesh, material, or scene guidance.

About

OpenClaw-graph skill for 3D modeling that helps agents author, iterate, and structure three-dimensional assets for games, SaaS product viewers, and rich marketing content. It focuses on practical mesh, material, and scene decisions so teams can move from concept to render-ready models without a dedicated DCC specialist on every task.

  • Agent-guided 3D asset workflows
  • Supports games and interactive product demos
  • Bridges creative direction to render-ready scenes
  • Useful for rapid visual prototyping
  • Pairs with web or realtime viewers

3d Modeling by the numbers

  • 139 all-time installs (skills.sh)
  • Ranked #740 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/alphaonedev/openclaw-graph --skill 3d-modeling

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Listed on Skillselion
Installs139
repo stars6
Last updatedMarch 13, 2026
Repositoryalphaonedev/openclaw-graph

What it does

Produce or refine 3D models for games, product viewers, marketing scenes, or interactive web experiences when an agent needs mesh, material, or scene guidance.

Files

SKILL.mdMarkdownGitHub ↗

3d-modeling

Purpose

This skill provides tools for creating, editing, and optimizing 3D models using Blender, specifically tailored for AR/VR applications. It focuses on generating assets like meshes and textures that integrate seamlessly into virtual environments.

When to Use

Use this skill when developing AR/VR prototypes that require custom 3D models, such as designing interactive objects for VR simulations or overlaying digital assets in AR scenes. Apply it in workflows involving asset creation, modification, or export for platforms like Unity or Oculus.

Key Capabilities

  • Create and manipulate 3D meshes using Blender's Python API, e.g., generating a cube with bpy.ops.mesh.primitive_cube_add().
  • Apply materials and textures for AR/VR realism, such as using bpy.data.materials.new() to add shaders.
  • Render scenes optimized for AR/VR, including exporting to GLTF format with embedded textures via bpy.ops.export_scene.gltf().
  • Perform batch operations via CLI for automation, like processing multiple files.
  • Integrate with AR/VR tools by exporting models that support real-time rendering, such as low-poly meshes for mobile VR.

Usage Patterns

Follow these patterns to leverage the skill effectively. Always run Blender in a compatible environment with Python 3.7+ installed.

1. Basic Model Creation: Start by launching Blender from the command line and scripting a simple object. Use this for quick AR prototypes.

  • Example: Create a cube and export it as GLTF for AR integration.
     import bpy
     bpy.ops.mesh.primitive_cube_add(size=2, location=(0,0,0))
     bpy.ops.export_scene.gltf(filepath="cube.gltf")

2. Model Editing for VR: Import an existing model, apply modifications, and optimize for VR performance.

  • Example: Load a mesh, reduce polygons, and export for VR headset compatibility.
     import bpy
     bpy.ops.import_scene.obj(filepath="model.obj")
     bpy.ops.object.modifier_add(type='DECIMATE')
     bpy.ops.export_scene.gltf(filepath="optimized_model.gltf", export_format='GLTF_SEPARATE')

For complex tasks, wrap these in scripts and run via Blender's CLI to automate AR/VR asset pipelines.

Common Commands/API

Use Blender's CLI and Python API for core operations. Specify exact flags for efficiency.

  • CLI Commands: Run scripts in background mode.
  • blender --background input.blend --python script.py --render-output output.png: Loads a file, runs a script, and renders an image for AR previews.
  • blender -b file.blend -P script.py -F PNG -o //render_: Executes a script on a blend file and outputs renders; use -F for format like PNG for VR thumbnails.
  • Python API Snippets: Access via bpy module in Blender scripts.
  • Snippet for adding a material:
    mat = bpy.data.materials.new("AR_Material")
    mat.diffuse_color = (1, 0, 0, 1)  # Red color for AR visibility
  • Snippet for mesh manipulation:
    obj = bpy.context.active_object
    obj.scale = (1.5, 1.5, 1.5)  # Scale object for VR fitting

Config formats: Use JSON-like structures in Blender files (.blend) for custom properties, e.g., add via bpy.types.Scene.my_prop = "value". For exports, specify GLTF options in scripts, like export_extras=True for metadata.

Integration Notes

Integrate this skill with AR/VR frameworks by exporting models in compatible formats. For external services (e.g., cloud rendering), use environment variables for authentication, such as $BLENDER_API_KEY if accessing paid APIs, though Blender itself is local. Pattern: Set export os.environ['BLENDER_API_KEY'] = 'your_key' in scripts before API calls. Ensure dependencies like Python packages (e.g., bpy) are installed via pip install bpy if using external editors. For AR/VR platforms, import GLTF files directly into Unity or Unreal, matching coordinate systems (e.g., Z-up for Blender).

Error Handling

Anticipate and handle errors in scripts to maintain AR/VR workflow reliability. Check for file existence before imports: Use if not bpy.data.filepath: raise ValueError("File not found"). For API failures, like failed exports, catch exceptions:

try:
    bpy.ops.export_scene.gltf(filepath="output.gltf")
except RuntimeError as e:
    print(f"Export failed: {e}")  # Log and retry or fallback

Common issues: Invalid paths (use absolute paths), memory errors on large models (optimize with decimate modifier first), or version mismatches (ensure Blender 2.8+). Always test scripts in a non-destructive environment.

Graph Relationships

  • Belongs to cluster: ar-vr
  • Related tags: 3d-modeling, blender, ar-vr
  • Connected skills: rendering (for post-processing AR/VR assets), mesh-optimization (for performance in VR)

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