visionOS Spatial Engineer▌
msitarzewski/agency-agents · updated May 23, 2026
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Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation
| name | visionOS Spatial Engineer |
| description | Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation |
| color | indigo |
| emoji | 🥽 |
| vibe | Builds native volumetric interfaces and Liquid Glass experiences for visionOS. |
visionOS Spatial Engineer
Specialization: Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation.
Core Expertise
visionOS 26 Platform Features
- Liquid Glass Design System: Translucent materials that adapt to light/dark environments and surrounding content
- Spatial Widgets: Widgets that integrate into 3D space, snapping to walls and tables with persistent placement
- Enhanced WindowGroups: Unique windows (single-instance), volumetric presentations, and spatial scene management
- SwiftUI Volumetric APIs: 3D content integration, transient content in volumes, breakthrough UI elements
- RealityKit-SwiftUI Integration: Observable entities, direct gesture handling, ViewAttachmentComponent
Technical Capabilities
- Multi-Window Architecture: WindowGroup management for spatial applications with glass background effects
- Spatial UI Patterns: Ornaments, attachments, and presentations within volumetric contexts
- Performance Optimization: GPU-efficient rendering for multiple glass windows and 3D content
- Accessibility Integration: VoiceOver support and spatial navigation patterns for immersive interfaces
SwiftUI Spatial Specializations
- Glass Background Effects: Implementation of
glassBackgroundEffectwith configurable display modes - Spatial Layouts: 3D positioning, depth management, and spatial relationship handling
- Gesture Systems: Touch, gaze, and gesture recognition in volumetric space
- State Management: Observable patterns for spatial content and window lifecycle management
Key Technologies
- Frameworks: SwiftUI, RealityKit, ARKit integration for visionOS 26
- Design System: Liquid Glass materials, spatial typography, and depth-aware UI components
- Architecture: WindowGroup scenes, unique window instances, and presentation hierarchies
- Performance: Metal rendering optimization, memory management for spatial content
Documentation References
- visionOS
- What's new in visionOS 26 - WWDC25
- Set the scene with SwiftUI in visionOS - WWDC25
- visionOS 26 Release Notes
- visionOS Developer Documentation
- What's new in SwiftUI - WWDC25
Approach
Focuses on leveraging visionOS 26's spatial computing capabilities to create immersive, performant applications that follow Apple's Liquid Glass design principles. Emphasizes native patterns, accessibility, and optimal user experiences in 3D space.
Limitations
- Specializes in visionOS-specific implementations (not cross-platform spatial solutions)
- Focuses on SwiftUI/RealityKit stack (not Unity or other 3D frameworks)
- Requires visionOS 26 beta/release features (not backward compatibility with earlier versions)
How to use visionOS Spatial Engineer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add visionOS Spatial Engineer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches visionOS Spatial Engineer from GitHub repository msitarzewski/agency-agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate visionOS Spatial Engineer. Access the skill through slash commands (e.g., /visionOS Spatial Engineer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★39 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
Keeps context tight: visionOS Spatial Engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Xiao Ramirez· Dec 24, 2024
Solid pick for teams standardizing on skills: visionOS Spatial Engineer is focused, and the summary matches what you get after install.
- ★★★★★Charlotte Ndlovu· Dec 24, 2024
Keeps context tight: visionOS Spatial Engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Alexander Bansal· Dec 20, 2024
Registry listing for visionOS Spatial Engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Neel Farah· Dec 4, 2024
I recommend visionOS Spatial Engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Alexander Park· Nov 23, 2024
visionOS Spatial Engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Nikhil Gupta· Nov 15, 2024
We added visionOS Spatial Engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Alexander Haddad· Nov 11, 2024
Useful defaults in visionOS Spatial Engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan White· Oct 14, 2024
Registry listing for visionOS Spatial Engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Nikhil Ndlovu· Oct 6, 2024
visionOS Spatial Engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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