Blender Web Pipeline skill provides workflows for exporting 3D models and animations from Blender to web-optimized formats (primarily glTF 2.0). It covers Python scripting for batch processing, optimization techniques for web performance, and integration with web 3D libraries like Three.js and Babylon.js.
Fetches blender-web-pipeline from freshtechbro/claudedesignskills and configures it for Cursor.
3
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◆ Which agents do you want to install to?
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4
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Confirm successful installation by checking the skill directory location:
.cursor/skills/blender-web-pipeline
Restart Cursor to activate blender-web-pipeline. Access via /blender-web-pipeline in your agent's command palette.
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Security Notice
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Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Blender Web Pipeline skill provides workflows for exporting 3D models and animations from Blender to web-optimized formats (primarily glTF 2.0). It covers Python scripting for batch processing, optimization techniques for web performance, and integration with web 3D libraries like Three.js and Babylon.js.
When to use this skill:
Exporting Blender models for web applications
Batch processing multiple 3D assets
Optimizing file sizes for web delivery
Automating repetitive Blender tasks
Creating production pipelines for 3D web content
Converting legacy formats to glTF
Key capabilities:
glTF 2.0 export with optimization
Python (bpy) automation scripts
Texture baking and compression
LOD (Level of Detail) generation
Batch processing workflows
Material and lighting optimization for web
Core Concepts
glTF 2.0 Format
Why glTF for Web:
Industry-standard 3D format for web
Efficient binary encoding (.glb)
PBR materials support
Animation and skinning
Extensible with custom data
Wide library support (Three.js, Babylon.js, etc.)
glTF vs GLB:
.gltf = JSON + external .bin + external textures
.glb = Single binary file (recommended for web)
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
1Install product management skill
2Start with user story generation for known feature
3Progress to competitive analysis: research 2-3 competitors
4Use for roadmap prioritization: apply RICE/ICE scoring
5Draft stakeholder communications and refine based on feedback
6Build template library for recurring PM tasks
7Share effective prompts with product team
Common Pitfalls
⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition
✗ Don't
−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture
💡 Pro Tips
★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
1Basic: user stories, feature specs, status updates
