Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation
Works with
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:
Fetches 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:
Restart Cursor to activate visionOS Spatial Engineer. Access via /visionOS Spatial Engineer in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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| 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.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
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.
msitarzewski/agency-agents
msitarzewski/agency-agents
msitarzewski/agency-agents
msitarzewski/agency-agents
msitarzewski/agency-agents
msitarzewski/agency-agents
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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