application-flow
High-level overview of a typical ovrtx application lifecycle. Use when user asks how to structure an ovrtx program, what the main…
Creating and configuring an ovrtx renderer instance. Use when user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx.
$ npx -y skills add nvidia-omniverse/ovrtx --skill renderer-creation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/renderer-creationContext preview
The summary Claude sees to decide when to auto-load this skill.
Creating and configuring an ovrtx renderer instance. Use when user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx.
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: LicenseRef-NvidiaProprietary # # NVIDIA CORPORATION, its affiliates and licensors retain all intellectual # property and proprietary rights in and to this material, related # documentation and any modifications thereto. Any use, reproduction, # disclosure or distribution of this material and related documentation # without an express license agreement from NVIDIA CORPORATION or # its affiliates is strictly prohibited. name: renderer-creation description: > Creating and configuring an ovrtx renderer instance. Use when user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx. license: LicenseRef-NvidiaProprietary author: NVIDIA ovrtx tags: - ovrtx - renderer - setup tools: - Read - Grep
Use this skill when the user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx.
Resolve inputs in this order: existing repository files and referenced snippets, explicit user request, then broader agent context.
1. Identify the requested language and lifecycle stage before choosing an example. 2. Read the referenced snippet that matches the requested stage and language. 3. Preserve the normal ovrtx order: create or initialize the renderer, load or compose USD, step or wait for work, read outputs when needed, then release C resources explicitly. 4. Apply the async, status-query, error-handling, and warmup skills when the workflow crosses those concerns. 5. When changing code, run the narrow example or docs test that owns the snippet whenever practical.
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The renderer is the central object in ovrtx. You must create one before loading USD scenes, stepping, or reading output. The renderer manages all GPU resources and the internal rendering pipeline.
Create a renderer with default settings:
> **Source:** `examples/python/minimal/main.py` snippet `create-renderer` > > **Source (local-scene example):** `examples/python/projectors/main.py` snippet `projectors-create-renderer`
Or with configuration:
> **Source:** `tests/docs/python/test_support_api.py` snippet `doc-renderer-config` > > **Source (rolling shutter):** `tests/docs/python/test_support_api.py` snippet `doc-create-rolling-shutter-renderer`
Cleanup is automatic -- the renderer is destroyed when it goes out of scope.
All public C examples and doc tests link the **static** ovrtx loader (`ovrtx::ovrtx_static`) and hand `ovrtx_create_renderer()` a `binary_package_root_path` built from `OVX_CONFIG_EXECUTABLE_DIR_TOKEN "/ovrtx"`. `ovrtx_setup_runtime()` stages a side-by-side `ovrtx/` link next to the executable, and the token resolves to the running executable's directory at runtime, so the loader finds the package without hard-coding an install path:
> **Source:** `examples/c/minimal/main.cpp` snippet `create-renderer`
`ovrtx_initialize()` is optional. If you do not call it, `ovrtx_create_renderer()` initializes ovrtx automatically.
Use explicit initialize/shutdown when creating and destroying multiple renderers in a process and you want one-time loader initialization to happen once:
> **Source:** `examples/c/vulkan-interop/src/main.cpp` snippet `initialize-and-create-renderer`
If ovrtx is used together with ovPhysX in the same process, ovrtx must be initialized first. In Python, this means `import ovrtx` must come before `import ovphysx`. In C/C++, call `ovrtx_initialize()` before initializing ovPhysX.
With configuration entries:
> **Source:** `tests/docs/c/test_support_api.cpp` snippet `doc-version-and-config-c` > > **Source (rolling shutter):** `tests/docs/c/test_support_api.cpp` snippet `doc-create-rolling-shutter-renderer-c` > > To add config entries, populate `config.entries` and `config.entry_count` before calling `ovrtx_create_renderer`. See the `ovrtx_config_entry_*` helpers in `ovrtx_config.h`.
Cleanup is manual -- you must call `ovrtx_destroy_renderer()`:
> **Source:** `examples/c/minimal/main.cpp` snippet `unmap-and-cleanup`
| Python | C | |--------|---| | `Renderer(config=None)` | `ovrtx_create_renderer(config, &renderer)` | | `RendererConfig` | `ovrtx_config_t` + `ovrtx_config_entry_t` | | automatic `__del__` | `ovrtx_destroy_renderer(renderer)` | | `renderer.version` → `(major, minor, patch)` | `ovrtx_get_version(&major, &minor, &patch)` (callable before init) | | `renderer.config` → `RendererConfig` | (no C equivalent -- config was passed at creation) |
Config helpers in C (`ovrtx_config.h`):
ovrtx is a C and Python library for embedding Omniverse RTX sensor simulation and visualization directly into applications.
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