Skip to content
Machine Learning
Skill

/renderer-creation

Creating and configuring an ovrtx renderer instance. Use when user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx.

BOOST
From plugin
ovrtx
23739 skills
Install
$ npx -y skills add nvidia-omniverse/ovrtx --skill renderer-creation --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/renderer-creation

Context 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.

SKILL.md

renderer-creation.SKILL.md
# 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

Renderer Creation

When to Use

Use this skill when the user asks to create a renderer, initialize ovrtx, configure renderer options, or set up ovrtx.

Inputs

Resolve inputs in this order: existing repository files and referenced snippets, explicit user request, then broader agent context.

  • Target API surface: Python, C/C++, or both.
  • Application lifecycle stage: renderer creation, scene loading, stepping, warmup, output readback, or cleanup.
  • Repository source snippets referenced below. Treat these snippets as the API source of truth.

Prerequisites

  • Use an ovrtx checkout that contains the referenced examples and docs tests.
  • Read the relevant `> **Source:**` snippet before writing or explaining API usage.
  • For code changes, preserve renderer lifecycle ordering and cleanup semantics for the selected language.

Instructions

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.

Output Format

  • For explanations, cite the relevant API names, source snippets, and caveats.
  • For code changes, summarize the files changed, snippets affected, and validation run.

Scripts

This skill has no scripts.

Limitations

  • The referenced snippets remain the source of truth; update or add tested snippets before documenting new API usage.

Overview

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.

Python

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.

C

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`

Optional explicit initialize/shutdown

`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`

Key Types / Functions

| 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_config_entry_sync_mode(bool)`
  • `ovrtx_config_entry_log_file_path(ovx_string_t)`
  • `ovrtx_config_entry_log_level(ovx_string_t)`
  • `ovrtx_config_entry_binary_package_root_path(ovx_string_t)`
  • `ovrtx_config_entry_enable_profiling(bool)`
  • `ovrtx_config_entry_read_gpu_transforms(bool)`
  • `ovrtx_config_entry_motion_bvh(ovrtx_motion_bvh_t)` -- select disabled, enabled
Read more
Ships withovrtx

ovrtx is a C and Python library for embedding Omniverse RTX sensor simulation and visualization directly into applications.

Get the whole plugin

Other skills on ovrtx.