Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add msitarzewski/agency-agents --skill visionos-spatial-engineerCompatible with
Supported agents
| 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. |
Specialization: Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation.
glassBackgroundEffect with configurable display modesFocuses 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.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionvisionOS Spatial EngineerExecute the skills CLI command in your project's root directory to begin installation:
epx add msitarzewski/agency-agents --skill visionos-spatial-engineerFetches visionOS Spatial Engineer from msitarzewski/agency-agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/visionOS Spatial Engineer
Restart Cursor to activate visionOS Spatial Engineer. Access via /visionOS Spatial Engineerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Keeps context tight: visionOS Spatial Engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: visionOS Spatial Engineer is focused, and the summary matches what you get after install.
Keeps context tight: visionOS Spatial Engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for visionOS Spatial Engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend visionOS Spatial Engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
visionOS Spatial Engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added visionOS Spatial Engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in visionOS Spatial Engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for visionOS Spatial Engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
visionOS Spatial Engineer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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