Omniverse Realtime Viewer
NVIDIAOfficialCreated by NVIDIA Omniverse
- Skill
- Tool integration
- Software development
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Omniverse Realtime Viewer skill acts as a central routing and architectural framework for developing USD-based 3D viewer applications. It provides a structured approach to composing rendering, scene state, and delivery mechanisms, ensuring that developers can integrate OVRTX rendering, OVStage scene management, and various UI or streaming adapters effectively. The skill emphasizes a modular architecture where the viewer runtime, UI/input adapters, and delivery systems are decoupled, allowing for consistent behavior across local and streamed environments.
What it does
- Provides a routing architecture for USD viewer apps, XR delivery, and GPU-accelerated rendering.
- Defines the separation of concerns between viewer runtime, UI adapters, and delivery systems.
- Offers guidance on integrating OVRTX for high-fidelity 3D rendering.
- Establishes conventions for camera interaction, scene state management, and input handling.
- Supports the implementation of specialized features like stylized rendering and CAE/CFD visualization.
- Provides protocols for agent-to-UI communication and scene control.
When to use it
- When starting the development of a new USD-based realtime viewer application.
- When integrating advanced rendering features like stylized visualization or AOV switching.
- When building XR or spatial editing capabilities into an existing Omniverse application.
- When you need to standardize the architecture for local and streamed viewer deployments.
- When implementing chat-driven scene control or agent-based inspection of a 3D scene.
Advantages
- Promotes a clean, modular architecture that separates rendering logic from UI and transport.
- Ensures consistent behavior across different delivery methods, such as local windows or WebRTC streaming.
- Provides clear paths for extending functionality without disrupting the core viewer runtime.
- Facilitates the integration of complex simulation and visualization data into the viewer.
- Standardizes conventions for scene state, selection, and camera control.
Usage examples
- “How do I set up a basic USD viewer application using the Omniverse Realtime Viewer architecture?”
- The agent will guide you to start with the viewer app reference, resolve dependencies, and implement the core runtime owner to manage the OVStage and OVRTX renderer.
- “I need to add stylized rendering to my existing viewer. Where should I start?”
- The agent will direct you to the stylized visualization references to implement the required USD/Lua/CUDA nodes within your existing runtime owner.
- “How can I enable an AI agent to control the viewer scene?”
- The agent will point to the A2UI Scene Copilot reference to implement an operation interface that allows the agent to send commands through the existing runtime owner.
- “How do I switch between different render outputs like beauty and depth in my viewer?”
- The agent will explain how to use the AOV switching reference to map RenderVars and update the RenderProduct's orderedVars through the runtime owner.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/omniverse-realtime-viewer/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip omniverse-realtime-viewer.zip -d .agents/skills
Documentation by NVIDIA Omniverse
<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -->
<!-- SPDX-License-Identifier: Apache-2.0 -->
Omniverse Realtime Viewer
Build responsive USD viewers by composing OVRTX rendering, OVStage scene state, and the delivery/UI libraries appropriate to the app. Use this package for viewer architecture and interaction; use each selected SDK's upstream guidance for installation and exact release-specific APIs.
Start With The App
When delivery is explicit, select its recipe through
references/routing.mdand follow its current phase. Otherwise start withreferences/usd-viewer-app/README.md. For an existing app, keep its architecture and read only the references for the requested change. Broad app, conventions and UI catalogs are lookups as needed.Resolve the selected libraries through
references/dependencies/README.md. Preserve the project's manifest unless an upgrade is requested.Build a working frame and camera interaction in the chosen shell, then add the requested capabilities. Read
references/conventions.mdfor shared input, camera, selection, and protocol conventions.Use
references/viewer-ux-workflow/README.mdfor broader interface design. Loading, selection feedback, errors, and input responsiveness belong in the first working app, alongside rendering.Validate the actual delivery path with
references/validation.md. A browser screenshot does not validate a native window or a different transport.
Architecture
| Owner | Responsibility |
|---|---|
| Viewer runtime | Own the live OVStage, publication clock, OVRTX renderer, scene changes, and render stepping. |
| UI and input adapter | Display frames and copied app state; send user intent to the runtime owner. |
| Storage/query/simulation workers | Perform their assigned work and return results through the selected integration boundary. |
| Delivery adapter | Present locally or stream through ovstream; respect frame ownership and backpressure. |
Use OVRTX for USD/3D rendering. Browser apps display its WebRTC video; local apps present its output through their native shell. A missing GPU means rendering is unverified, not a reason to substitute a browser 3D renderer.
Keep viewer cameras, settings, effects, and transient edits in app-owned session
or runtime state so the source USD stays intact. Serialize scene mutation and
render stepping through the runtime owner. Read
references/ovstage-ovrtx-integration/README.md for that loop, then the population
or data-plane references when implementing scene loading or attribute writes.
Keep expensive loading and metadata work off the UI and render threads. Keep transport details behind a delivery adapter so camera, selection, properties, and loading state can be reused across local and streamed shells.
Add Capabilities As Needed
Use references/routing.md to select camera/picking, scene management, render
settings, cloud assets, simulation, editor tools, deployment, or CAE/CFD
visualization. Read the selected capability's implementation flow and its linked
contract; the full reference catalog is not a prerequisite for a first frame.
For simulation, use the routing reference's Simulation Ecosystem section plus
references/realtime-sim-integration/README.md. For UI-driven forces or control,
add references/interaction-round-trip/README.md.
For example scenes, use references/usd-sample-data/README.md. When a runtime
failure needs diagnosis, use references/troubleshooting/README.md and the
selected SDK's matching release guidance before changing the architecture.
Solid Modeling: Upstream First
For usd-brep, exact BRep, solid modeling, kernel failures, CAD topology, or
BrepArray questions, first read references/dependencies/README.md → USD BRep. Follow the
owning repository's current agent guidance, skills, operation docs, and package
API before selecting local integration references. Discover the upstream router
rather than assuming skill names or directory layouts remain fixed. Upstream
owns modeling semantics, schema rules, tuning, and diagnostics; this package
owns OVRTX display, worker handoff, selection mapping, and publication timing.
GPU Processing And Stylized Viewers
For custom GPU processing, chained outputs and lens sampling, read
references/spg-processing/README.md. For toon, ink, technical/X-Ray styles,
geometry strokes or full wireframe, continue to
references/stylized-visualization/implementation.md. Its USD/Lua/CUDA starting
node and geometry/depth/composite build sequence work with the selected viewer
recipe; use references/stylized-visualization/style-recipes.md for the preset
math and references/stylized-visualization/README.md for supporting contracts.
Implement the result inside the existing OVRTX/runtime owner and deliver the
published processed output. These instructions do not require a sample checkout
or a prior stylized-rendering implementation.
For an optional usd-brep geometry source, first read
references/dependencies/README.md → USD BRep and the owning repository's
current agent guidance, skills, and operation docs; then read
references/stylized-visualization/usd-brep-source.md for the display boundary.
XR Viewers
For headsets, immersive viewers, or spatial editors, start with
references/xr-viewer-recipe/README.md. Resolve SDK setup and contracts through
references/dependencies/ovxr.md; the library owns OpenXR lifecycle and frame
submission. For controllers, hands, navigation, or scene tools, add
references/xr-spatial-input/README.md and
references/ovxr-python-interactions/README.md. For projection-integrated UI,
read references/ovxr-composition-ui/README.md and
references/ovxr-composition-ui-validation/README.md.
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references/ovxr-composition-ui/native-build-and-discovery.md
Native compositor build and discovery
The application must implement the native layer; the supplied libraries do not ship the custom compositor described here. This route specifies its build and discovery seams, without requiring a sample checkout. Native algorithms live in library construction, projection math and passes/synchronization.
Inputs and outputs
Inputs are matching OVXR/OVRTX/OVStage headers and native libraries, a C++ compiler, OpenXR headers including loader negotiation, Vulkan headers/loader, and a GLSL-to-SPIR-V compiler. Obtain runtime packages through dependencies. Keep platform-specific compiler/runtime and loader paths in application build configuration, not the published skill. Lock the raster worker separately through Skia/Yoga dependencies.
Implement these application-owned compilation units (names are examples):
layer: loader negotiation, downstream dispatch tables, session/swapchain bookkeeping, deferred release andxrEndFrameinterception.compositor: Vulkan resources, bounded slots, attachment passes and teardown.mesh: per-eye clipping/projection, tube/analytic tool packing and scissor.bridge: copied/versioned surface and raster ABI, mapping/telemetry getters; no caller-owned OVRTX step-result bridge is required by current OVXR submission.Vertex/fragment shaders compiled to SPIR-V during the build; embedded arrays or installed shader files must derive from those exact sources.
Export C ABI functions explicitly on Windows and ELF platforms; hidden default
visibility must not hide loader negotiation or required application exports.
Use extern "C" and the calling conventions from the supplied headers. Compile
with strict warnings and test struct size/alignment against the Python/C consumer.
Use documented CMake package targets when supplied, not guessed library names.
The layer normally resolves downstream OpenXR functions through dispatch rather
than calling its own intercepted exports recursively.
Manifest and process-local activation
Generate an explicit API-layer manifest beside the built library. Example app identity (replace with your own; this is not an NVIDIA-provided layer):
{
"file_format_version": "1.0.0",
"api_layer": {
"name": "XR_APILAYER_APP_spatial_ui",
"library_path": "./app_spatial_ui.dll",
"api_version": "1.0",
"implementation_version": "1",
"description": "Application-owned spatial UI compositor"
}
}Generate the actual platform filename (.dll versus .so) from the build;
resolve it relative to the manifest, not the caller's working directory. Use
the loader's process-local XR_API_LAYER_PATH discovery path and
XR_ENABLE_API_LAYERS selection before creating the OpenXR instance. Preserve
other requested layers rather than silently replacing them. Avoid machine-wide
registry/runtime changes for a local test. The loader's required negotiation
export is xrNegotiateLoaderApiLayerInterface; implement it using the installed
openxr_loader_negotiation.h, including interface/version compatibility checks.
At instance creation advance the next-info chain exactly once and retain its downstream functions. Keep dispatch keyed by owning instance/session/device, not a single unqualified global pointer. Destroy only application-owned objects.
Staged proof
Build and run CPU math/ABI tests without a headset. Confirm generated shader bytes, symbol visibility and manifest library resolution.
Enumerate the layer through the loader and create an instance with it enabled. Enumeration alone is not proof it intercepts the live session.
Report loaded library identity and an intercepted frame/session counter from the target process, then verify one unchanged forwarded projection with UI off.
Capture actual color/depth swapchain usage, format, samples, array extent and negotiated depth-extension/submission policy. Require color/depth attachment usage before enabling one fixed LOCAL panel, then stereo depth and input incrementally. Unsupported usage is a failed feature gate, not a passing compositor.
Exercise missing exports, malformed ABI records, failed image matching, busy slots and retirement before adding more surfaces.
Ship manifest, native binary, shaders (if not embedded), ABI declaration and matching build provenance together. Keep the retained worker/font dependencies separate but versioned. Do not distribute developer machine paths or substitute placeholder runtime/shader-cache files to make packaging appear complete.
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python, Needs Node.js
The author says: 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.
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
- Instructions that use the network
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- NVIDIA Omniverse
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/omniverse-realtime-viewer · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by NVIDIA Omniverse or NVIDIA.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download omniverse-realtime-viewer.zip