How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does omniverse-realtime-viewer support?

omniverse-realtime-viewer works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is omniverse-realtime-viewer free to use?

Yes. omniverse-realtime-viewer is free to install and use. It is available from the open explainx.ai skill registry published by nvidia.

Where can I read ratings and reviews for omniverse-realtime-viewer?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install omniverse-realtime-viewer?

Run `npx skills install nvidia/skills/omniverse-realtime-viewer` in your terminal. You need to have run `npx skills init` once in your project first.

omniverse✦ Official

omniverse-realtime-viewer

Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.

nvidia/skills|Updated Jun 23, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

total installs

this week

1.7K

GitHub stars

upvotes

Install Skill

Run in your terminal

$npx skills install nvidia/skills/omniverse-realtime-viewer

installs

this week

1.7K

stars

View on GitHub

omniverse usd viewer workflow

0 commentsJoin discussion →

Installation Guide

Select your AI agent

How to use omniverse-realtime-viewer 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 machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add omniverse-realtime-viewer

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install nvidia/skills/omniverse-realtime-viewer

Fetches omniverse-realtime-viewer from nvidia/skills and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/omniverse-realtime-viewer

Restart Cursor to activate omniverse-realtime-viewer. Access via /omniverse-realtime-viewer in your agent's command palette.

⚠

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

name	omniverse-realtime-viewer
description	"Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents."
version	"0.1.0"
license	Apache-2.0
tools	- Read - Shell - Write
compatibility	> Orchestrator skill. Downstream focused references may require NVIDIA GPUs, ovrtx, ovstream, ovui, OpenUSD, Python, Node/React, Tauri, Electron, C++, or cloud GPU deployment access depending on the selected viewer path.
metadata	author: NVIDIA Omniverse tags: - omniverse - usd - viewer - workflow domain: ai-ml languages: - python - typescript - cpp

Omniverse Realtime Viewer

This is the top-level entry point for the Omniverse Realtime Viewer skill package. It is self-contained: all required routing, conventions, and validation guidance live in the selected references.

Use the focused reference documents as implementation recipes. This file chooses the right recipes and preserves the architectural rules that must hold across all generated viewer apps.

Instructions

Start by classifying the requested viewer, then read only the references needed for that delivery path and feature set. Implement the render path first, layer interaction and UI behavior on top of it, and finish by capturing validation evidence from references/validation.md.

Read Order

Read references/routing.md to choose the delivery path and focused references.
Read references/conventions.md before implementing camera, input, selection, viewport, streaming protocol, scene loading, or environment behavior.
For broad viewer requests, read references/usd-viewer-app/README.md.
If the delivery path is unclear, read references/streaming-vs-local/README.md.
If the prompt includes layout, panels, controls, inspectors, status, or UX, read references/viewer-ux-workflow/README.md and then the focused viewer UI references. This applies to React/WebRTC, Tauri, Electron, ovui, ovwidgets, and Dear ImGui apps; "frontend" means user-facing UI, not only browser UI.
For viewport interaction, read references/viewer-input-routing/README.md before references/camera-controls/README.md, references/native-picking-selection/README.md, or references/object-selection/README.md.
Read only the focused capability references needed for the requested app.
Use references/validation.md to capture review evidence before handoff.

Non-Negotiables

Use ovrtx for all USD and 3D rendering.
Browser apps display an ovstream WebRTC video stream plus UI. The browser does not render USD geometry.
Do not substitute WebGL, Three.js, Babylon.js, PlayCanvas, A-Frame, model-viewer, react-three-fiber, glTF browser viewers, or other client-side 3D renderers.
If local validation cannot run because the GPU/runtime environment is absent, scaffold the ovrtx path and document the runtime requirement. Do not add a browser-renderer fallback.
Keep user USD files unmodified. Viewer cameras, render products, render vars, settings, selection metadata, and runtime state belong in session/composite layers or app state.
Keep one owner for renderer.step(), stage mutation, native picking, selection writes, and live attribute writes.
Keep dependency acquisition in references/dependencies/README.md and deployment choices in references/cloud-deployment/README.md; do not duplicate package locations or deployment setup.

Focused Reference Families

Entry points and recipes: references/usd-viewer-app/README.md, references/streaming-viewer-recipe/README.md, references/ovui-local-viewer-recipe/README.md, references/streaming-vs-local/README.md, references/electron-shm-viewer/README.md, references/ovwidgets-editor-shell/README.md.
Rendering and stage: references/ovrtx-rendering/README.md, references/stage-loading/README.md, references/stage-management/README.md, references/render-settings/README.md, references/aov-switching/README.md, references/stage-hierarchy/README.md, references/stage-queries/README.md, references/stage-attribute-reads/README.md, references/prim-transform-safety/README.md, references/usd-sample-data/README.md.
Delivery and runtime: references/streaming-server/README.md, references/streaming-client/README.md, references/streaming-messages/README.md, references/streaming-lifecycle/README.md, references/local-viewer/README.md, references/tauri-local-viewer/README.md, references/cpp-native-viewer/README.md, references/headless-shm-cli/README.md, references/viewer-backend-interface/README.md, references/webgl-shm-transport/README.md.
Viewer UI/UX: references/viewer-ux-workflow/README.md, references/viewer-layout-patterns/README.md, references/viewer-control-patterns/README.md, references/viewer-data-view-patterns/README.md, references/viewer-feedback-status/README.md.
Interaction: references/viewer-input-routing/README.md, references/camera-controls/README.md, references/object-selection/README.md, references/native-picking-selection/README.md, references/selection-feedback/README.md, references/selection-animation/README.md, references/transform-manipulator/README.md, references/gl-viewport-overlay/README.md, references/ovui-library/README.md, references/prim-pick-effects/README.md, references/prim-info-display/README.md, references/viewport-overlays/README.md.
Infrastructure: references/dependencies/README.md, references/windows-native-setup/README.md, references/cloud-assets/README.md, references/cloud-deployment/README.md, references/troubleshooting/README.md.

Build Workflow

Classify the prompt by delivery path, target user, required capabilities, runtime environment, validation needs, and explicit constraints.
Select a small reference set. Start with the recipe or routing reference, then add focused capabilities such as camera, picking, hierarchy, properties, render settings, transform tools, cloud assets, or deployment.
Read selected references before writing app code. Follow their build order, import order, data-channel contracts, and renderer ownership rules.
Implement the core render path first, then input routing and camera, then selection and data panels, then scene/settings features, then packaging or deployment.
Treat the selected references as the behavior contract for API shape, compatibility, and generated project structure.
Capture validation evidence before calling the viewer ready.

Examples

For a browser viewer request, use the streaming recipe references plus camera, picking, hierarchy, properties, render settings, and stream-status references.
For a local workstation viewer request, use the local or native delivery references plus renderer setup, stage loading, viewport input, and validation.

Completion Checklist

Selected references match the user's intent and delivery path.
No code path uses a browser-side 3D renderer for USD.
The generated app has one clear owner for render stepping and stage mutation.
User USD files remain untouched by viewer-owned session data.
Camera, input, selection, scene loading, and stream behavior follow references/conventions.md.
Setup/build/run results and visual interaction evidence are captured with references/validation.md.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

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

Steps

1Install skill using provided installation command
2Test with simple use case relevant to your work
3Evaluate output quality and relevance
4Iterate on prompts to improve results
5Integrate 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

Related Skills

jetson-memory-audit

nvidia/skills

jetsonsame repo

cuopt-server-api-python

nvidia/skills

cuoptsame repo

jetson-print-bsp-info

nvidia/skills

jetsonsame repo

dynamo-troubleshoot

nvidia/skills

dynamosame repo

cuopt-numerical-optimization-formulation

nvidia/skills

cuoptsame repo

jetson-customize-pcie

nvidia/skills

jetsonsame repo

Reviews

4.5★★★★★27 reviews

D
Dhruvi Jain★★★★★Dec 24, 2024
We added omniverse-realtime-viewer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
L
Li Okafor★★★★★Dec 20, 2024
Useful defaults in omniverse-realtime-viewer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I
Isabella Bhatia★★★★★Dec 4, 2024
omniverse-realtime-viewer has been reliable in day-to-day use. Documentation quality is above average for community skills.
B
Benjamin Rao★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: omniverse-realtime-viewer is focused, and the summary matches what you get after install.
O
Oshnikdeep★★★★★Nov 15, 2024
omniverse-realtime-viewer reduced setup friction for our internal harness; good balance of opinion and flexibility.
G
Ganesh Mohane★★★★★Oct 6, 2024
omniverse-realtime-viewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
L
Luis Robinson★★★★★Sep 21, 2024
omniverse-realtime-viewer reduced setup friction for our internal harness; good balance of opinion and flexibility.
N
Naina Park★★★★★Sep 9, 2024
omniverse-realtime-viewer has been reliable in day-to-day use. Documentation quality is above average for community skills.
N
Naina Ndlovu★★★★★Aug 28, 2024
omniverse-realtime-viewer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
C
Charlotte Harris★★★★★Aug 12, 2024
omniverse-realtime-viewer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

omniverse-realtime-viewer

Install Skill

Installation Guide

How to use omniverse-realtime-viewer on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

Omniverse Realtime Viewer

Instructions

Read Order

Non-Negotiables

Focused Reference Families

Build Workflow

Examples

Completion Checklist

List & Monetize Your Skill

Use Cases

Task Automation & Efficiency

Knowledge Enhancement

Quality Improvement

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

jetson-memory-audit

cuopt-server-api-python

jetson-print-bsp-info

dynamo-troubleshoot

cuopt-numerical-optimization-formulation

jetson-customize-pcie

Reviews

Discussion