Omniverse Cad To Simready

NVIDIAOfficialCreated by OmniverseDistributed by NVIDIA

Skill
Workflow
Software development
Apache-2.0
Medium risk
Has scripts

From the author

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.

— the description by Omniverse

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill acts as an orchestrator for the CAD to SimReady pipeline, coordinating a series of specialized stages including asset conversion, material and physics assignment via Content Agents, validation, and final packaging. It is designed to manage the flow between discrete tools rather than replacing them, ensuring that assets meet specific simulation requirements through a structured, documentation-driven process.

What it does

Coordinates end-to-end conversion from source CAD or mesh assets to SimReady USD.
Manages property assignment for materials and physics using Content Agents.
Performs multi-stage validation gates to ensure asset viability and conformance.
Automates the assembly of deliverable packages including thumbnails and USD dependencies.
Provides consolidated reporting on workflow status, validation findings, and stage outputs.
Supports flexible execution modes including conversion-only and validation-only paths.

When to use it

When you need to transform raw CAD or source assets into simulation-ready USD files.
When you require automated material and physics assignment for 3D assets.
When you need to validate assets against SimReady conformance profiles.
When you are preparing assets for packaging and distribution in a simulation environment.

Advantages

Provides a structured, repeatable pipeline for complex asset preparation.
Integrates multiple specialized stages into a cohesive workflow.
Ensures consistent validation and conformance across the asset lifecycle.
Supports modular execution by allowing specific stages to be skipped or isolated.

Usage examples

“Convert my CAD file at /path/to/model.step to a SimReady asset.”: The agent will initiate the preflight check, convert the file to USD, apply material and physics properties, validate the result, and output a report.
“Validate this existing USD file for SimReady conformance.”: The agent will run the validation-only workflow, checking the provided USD against SimReady profiles and reporting any findings.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/omniverse-cad-to-simready/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip omniverse-cad-to-simready.zip -d .agents/skills

Documentation by Omniverse

CAD to SimReady

When to Use

Use this workflow skill for an end-to-end pipeline from a source asset to a SimReady asset or package. It coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly; do not replace it with a single monolithic runner command.

This skill is documentation-driven and does not ship scripts/run.py; it must not depend on a repository checkout. Shell is declared because this workflow invokes installed stage reference scripts directly, from each reference's installed directory, and it still must not grow a monolithic runner.

Prerequisites

Prefer preflight first for deterministic setup: it installs/verifies local upstream checkouts, writes a cad-to-simready-preflight.json manifest, and exports PHYSICAL_AI_PREFLIGHT_MANIFEST plus PHYSICAL_AI_REQUIRE_PREFLIGHT=1 for downstream references.
Python 3.12 and uv (per repo README.md).
A Content Agents model provider key when local deployment will run, or explicit endpoint variables plus usage tokens for already-running endpoints; see references/preflight/README.md for the full list.
Docker, NVIDIA Container Toolkit, and an NVIDIA GPU for Content Agents and OVRTX stages.
Local upstream checkouts under ${OMNIVERSE_CAD_TO_SIMREADY_UPSTREAM_ROOT:-$HOME/.omniverse-cad-to-simready/upstreams} when a stage needs upstream scripts or specs.

First Action

For any broad CAD/source-asset to SimReady request, assume property_assignment_intent=run unless the user explicitly asks for conversion-only, validation-only, or no material/physics assignment. For conversion-only requests, set property_assignment_intent=skip, do not deploy Content Agents, run convert-to-usd, then run validate-usd-minimum on the generated USD if conversion succeeds. For validation-only requests, set property_assignment_intent=skip and validate the USD the user provided without rerunning conversion.

Run preflight (or verify an existing PHYSICAL_AI_PREFLIGHT_MANIFEST) before any converter, validation, Content Agents, OVRTX, packaging, or FET step; treat it as dependency bootstrap, not workflow routing. Use --skip-content-agents for conversion-only/validation-only requests.

When property_assignment_intent=run, verify or deploy Content Agents services immediately after confirming the source path and resolving intent, before asset-context inspection, converter dependency checks, conversion, validation, conformance, rendering, packaging, or upstream source builds. Treat explicitly provided healthy endpoints as user-owned; otherwise run deploy-content-agents, which deploys the shared standalone OVRTX renderer, then Material, Physics, and optional Texture service containers in order.

Instructions

Confirm the source asset path exists, resolve output_root, and classify the request as end-to-end, conversion-only, validation-only, or packaging.
Resolve property_assignment_intent before running any asset inspection, converter probe, conversion, validation, conformance, rendering, or packaging step.
Run preflight for the selected workflow targets, unless a ready PHYSICAL_AI_PREFLIGHT_MANIFEST is already configured. Source the generated env file before running downstream scripts. Treat preflight as dependency setup only: it may use a provided --source-asset, --source-format, or --conversion-tools value to scope dependency checks, but convert-to-usd and the upstream converter references still decide actual conversion support.
Verify or deploy Content Agents services first when property_assignment_intent=run; block on missing authentication or unhealthy services instead of continuing.
Read references/workflow.md and references/commands.md, then run only the stage references needed for the current request.
Run identify-asset-context on the original source asset when web search is available or property assignment will run.
Route the source through convert-to-usd, or skip conversion for existing USD input and treat the source path as the current USD path.
Run validate-usd-minimum before expensive downstream work. Treat this as a viability gate only: record unit/profile issues such as metersPerUnit != 1.0, but do not run simready-conform-profile, FET001, or any other FET repair before Content Agents assignment when property assignment will run.
Run Content Agents material, physics, and optional texture assignment on the converted/minimum-valid USD when requested or required.
Run simready-conform-profile on the latest simulation USD path after property assignment and preserve every selected FET repair report.
Run validation gates in order: omni-asset-validate, omni-asset-validate-geometry, omni-asset-validate-physics, and simready-validate.
Rerun simready-conform-profile when simready-validate reports a repairable requirement, then rerun profile validation on the newest authored USD.
Run ovrtx-render-service when preview, thumbnail, or inspection images are requested. When package outputs are requested, run assemble-package-source next to create the clean deliverable/ package source from the final USD and thumbnail, then run nv-core-package-sample and nv-core-package-sample-validation on that deliverable folder only.
Emit the consolidated workflow report with the final USD path, all stage reports, validation findings, rerun reasons, and next work.

Output Format

Emit a consolidated workflow report in Markdown, and include JSON when the workflow writes structured artifacts. Report overall status as passed, blocked, failed, or needs_rerun. See references/workflow.md for the required Markdown and JSON report fields.

Detailed References

Read only the references needed for the current request:

references/preflight/README.md: deterministic local setup, manifest/env contract, wrappers, deployment opt-out, and guardrail behavior.
references/workflow.md: inputs, source routing, detailed workflow, validation policy, output report fields, and next steps.
references/commands.md: concrete portable script command patterns.
references/assemble-package-source/README.md: two-zone package source assembly, root USD naming, thumbnail placement, and deliverable checks.
references/troubleshooting.md: symptom/cause/fix table plus FET (GSP.001/RB.MB.001) repair-routing detail.
references/publishing-layout.md: frontmatter compatibility-field notes and layout rationale for this skill's own file tree.

Publishing Layout Notes

Use skills/omniverse-cad-to-simready/ as the source of truth for this product repo's skill. The .agents/skills symlink is a compatibility alias for local agentskills.io-style discovery, and the nested references/ tree is intentional. See references/publishing-layout.md for the alias list, frontmatter field placement, and flattening rules.

Limitations

This workflow coordinates existing conversion, property assignment, conformance, validation, rendering, and packaging skills; it does not replace them with a single monolithic runner command.

Troubleshooting

Read references/troubleshooting.md only when a specific stage or validation gate is failing; it owns the symptom/cause/fix table and FET repair routing.

Hard Rules

Prefer the preflight manifest for local upstream roots, converter executables, SimReady validation runtime, OVRTX endpoint, and Content Agents service URLs. When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, do not bypass the manifest with direct upstream discovery.
Do not run asset inspection, converter probes, local upstream builds, conversion, validation, conformance, rendering, or packaging before Content Agents readiness when property assignment will run.
Use stage-specific installed reference scripts directly. Do not add or call a single omniverse-cad-to-simready runner command.
For source conversion, delegate to the convert-to-usd reference; do not substitute another converter for CAD or mesh formats.
For property assignment, use Content Agents references as separate atomic steps: material first, then physics, then texture only when requested.
When property assignment will run, do not run simready-conform-profile or any FET helper before Content Agents. Validate minimum USD first, then run Content Agents on that converted/minimum-valid USD, then apply FET repairs to the latest service-authored USD.
When property assignment will run, do not run simready-validate or any SimReady profile validation before Content Agents. The only validation gate allowed before service calls is validate-usd-minimum, which is a basic USD viability check.
Stop at the first failing deployment, conversion, property-assignment, or conformance authoring gate unless the user explicitly asks for best-effort continuation.
Do not stop at validation findings after a meaningful USD artifact exists. Continue remaining diagnostic gates and mark the result needs_rerun.
Do not leave a GSP.001 profile failure as an unclassified final finding. Route it to upstream simready-foundation-conform-fet-005-simulate-grasp-physics; if the current agent cannot inspect renders or no explicit grasp points are available, report a blocked FET005 repair with the visual evidence path or missing input reason.
Preserve every stage report and pass the concrete output USD path from each report into the next stage.

Files

references/convert-to-usd/README.md

Convert to USD

When to Use

Use this reference as the conversion router. Ask the converter references which source they support, choose the highest-priority supported reference, preserve conversion metadata, and hand off the result to minimum USD validation before deeper omni-asset-validate, omni-asset-validate-geometry, omni-asset-validate-physics, and simready-validate checks.

Do not perform detailed format-specific conversion here when a specialized converter reference exists.

For NVIDIA-backed conversion references, preserve the upstream tool names. The router does not maintain a mesh/CAD/Gaussian-splat extension table; it calls each reference's probe mode and lets that reference read its upstream capability source.

Prerequisites

Python 3.12 and uv (per repo README.md).
Prefer a ready PHYSICAL_AI_PREFLIGHT_MANIFEST from the preflight reference. NVIDIA-backed converter references consume prepared upstream roots and executables from that manifest before falling back to direct legacy discovery. When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, missing converter readiness blocks at the preflight guardrail.
The selected converter backend must be installed and reachable before conversion runs.
CAD routes require the NVIDIA Omniverse usd-convert-cad checkout, omniverse-kit, supported CAD core extensions, and CAD Converter licensing on supported architectures, including Linux arm64.
First CAD runs need network access to download Kit extensions from the NVIDIA registry.

Routing

Do not classify NVIDIA-backed inputs from a router-owned extension table. Existing USD files are detected locally, then the router queries converter references in priority order:

Probe source	Route
URDF reference probe	`urdf-usd-converter`
MuJoCo reference probe, including XML `<mujoco>` root inspection	`mujoco-usd-converter`
Upstream `usd-convert-gsplat` CLI source inspected by the `usd-convert-gsplat` reference	`usd-convert-gsplat`
Upstream `usd-convert-cad` SKILL.md Supported Formats table inspected by the `usd-convert-cad` reference probe	`usd-convert-cad`; NVIDIA-backed source conversion delegates to upstream `usd-convert-cad`
Existing OpenUSD layer or package signature	Skip conversion and route to `validate-usd-minimum`

If more than one converter reference reports support, the router selects by converter-reference priority and records a warning. If no reference reports support, return an unsupported report rather than guessing.

For ambiguous mesh-like suffixes such as STL, rely on upstream converter capability from each converter reference probe instead of hard-coding a local route in the router.

USD Exchange Backing

Most conversion routes eventually hand off to a usdex consumer:

Conversion path	Underlying consumer
`urdf-usd-converter`	`urdf_usd_converter`, direct `usdex.core`
`mujoco-usd-converter`	`mujoco_usd_converter`, direct `usdex.core`
`usd-convert-cad` routes	Self-contained `usd-convert-cad==0.2.0` wheel pinned by `upstream-versions.lock.json`, with its bundled OpenUSD and CAD conversion runtime

usd-convert-asset is intentionally not an active route until a public PyPI package is available. Downstream validation still follows the OpenUSD Exchange SDK 2.3 stage and metadata contract where applicable; use the OpenUSD Exchange SDK / usdex reference for repo authoring rules and omni-asset-validate for the workflow validation wrapper.

Instructions

Locate the source asset and relevant sidecar files.
Check whether the input is already OpenUSD.
Identify required asset roots such as mesh folders, texture folders, ROS package roots, or MJCF asset directories.
Run each converter reference probe and select the first supported reference in router priority order.
Confirm the installed reference script and selected converter dependency are available before running conversion.
For CAD inputs, let the usd-convert-cad reference verify the usd-convert-cad wheel is importable in the resolved interpreter before it invokes conversion. Do not import the wheel or start a converter runtime directly from this router.
Convert to a dedicated output directory with convert-to-usd, not next to source files unless the user requested that location.
Record a conversion report with source, converter, output, warnings, and next validation step.
Hand off the generated USD artifact to validate-usd-minimum.

CLI Pattern

Prefer the installed reference-local script instead of assembling ad hoc commands:

python3 scripts/run.py /path/to/source_asset /path/to/output_dir --report /path/to/conversion_report.json

When running from outside the skill directory, use the installed skill path:

python3 /path/to/skills/omniverse-cad-to-simready/references/convert-to-usd/scripts/run.py /path/to/source_asset /path/to/output_dir --report /path/to/conversion_report.json

Check router dependencies with:

python3 scripts/check_dependencies.py --report dependency-check.json

Output Format

Every conversion path should produce or report:

Field	Meaning
`source_asset_path`	Original input file or directory.
`source_format`	Detected format, such as `urdf`, `mjcf`, `gsplat`, `cad`, or `usd`.
`converter_reference`	Reference selected for conversion.
`converter_tool`	Library, CLI, or application used by the converter reference.
`output_directory`	Directory containing the generated USD artifact and sidecar output.
`output_usd_path`	Primary USD layer or package generated by conversion.
`sidecar_inputs`	Meshes, textures, package roots, or extra files needed to convert.
`warnings`	Non-fatal issues, assumptions, and missing optional information.
`errors`	Blocking failures or unsupported features.
`next_step`	Usually `validate-usd-minimum`.

Markdown is acceptable for the first report. JSON can be added later when schemas exist.

Scripts

Script	Purpose	Usage
`scripts/run.py`	Query converter reference probes, route to the selected reference, and produce a normalized conversion report.	Execute: `python3 scripts/run.py <source_asset> <output_dir> --report <conversion_report.json>`. Calls external converters via subprocess (network on first CAD run).
`scripts/check_dependencies.py`	Verify the converter dependencies referenced by `run.py` are reachable.	Execute: `python3 scripts/check_dependencies.py --report <dependency_report.json>`. Read-only; no network.
`scripts/report_schema.json`	JSON Schema for the conversion report shape.	Reference: read for expected report structure.

Limitations

This router does not perform detailed format-specific conversion when a specialized converter reference exists.
This router does not own NVIDIA-backed source-extension tables. Update the upstream converter reference or upstream repo when format capability changes.
NVIDIA-backed source conversion must delegate to the usd-convert-cad reference. Do not switch to any other converter or substitute tooling when the selected runtime is unavailable.
Ambiguous source types are only routed when a converter reference probe reports support.

Troubleshooting

Symptom	Cause	Fix
NVIDIA-backed conversion is blocked	The `usd-convert-cad` wheel is not installed/importable, the resolved interpreter is not Python 3.12, `USD_CONVERT_CAD_PYTHON` points at the wrong interpreter, or converter licensing is unavailable	Return a `blocked` conversion report with the specific readiness or conversion dependency and the install hint. Do not switch to another converter or substitute tooling. NVIDIA-backed source conversion must delegate to the `usd-convert-cad` reference.
CAD conversion is blocked on import or version	The pinned `usd-convert-cad==0.2.0` wheel is not installed in the resolved interpreter, a different version is installed, or its bundled `pxr` conflicts with another OpenUSD in a shared interpreter	Install the pinned wheel into an isolated Python 3.12 environment (`python -m pip install usd-convert-cad==0.2.0`) and point `USD_CONVERT_CAD_PYTHON` (or `--usd-convert-cad-python`) at that interpreter, then rerun.
A source routes to an unexpected converter	More than one reference reported support, or a capability snapshot changed	Inspect the report warnings. The router records the priority-selected reference and warns when multiple probes report support.

Runtime Availability

Do not imply that uv sync installs every source converter runtime. URDF, MuJoCo/MJCF, and the repo Python dependencies are handled by the project environment, but NVIDIA-backed source conversion requires an installed and validated NVIDIA-Omniverse/usd-convert-cad checkout. If that runtime is missing or does not support the source, preserve the blocked conversion report and its install_hint instead of attempting an unrequested local build or substituting another converter.

Unsupported Cases

Do not pretend a conversion succeeded if a converter is unavailable or cannot parse the source. Produce a clear blocked report that includes:

detected format
missing converter or dependency
source files inspected
expected converter reference
recommended next action

NVIDIA-backed source conversion must delegate to the usd-convert-cad reference, including the source types listed in the upstream usd-convert-cad SKILL.md Supported Formats table. The usd-convert-cad reference probe parses that table live from a checkout of the repo (falling back to a built-in snapshot when offline); conversion itself runs the self-contained usd-convert-cad pip wheel, which bundles its own OpenUSD and CAD conversion runtime (no Omniverse Kit app or converter extensions). If the wheel is not importable in the resolved Python 3.12 interpreter, or platform support, licensing, or conversion support is unavailable, return a blocked conversion report rather than switching to any other converter or substitute tooling. The higher-level router must not override converter capability with its own source-extension list.

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: Declares allowed tools, Needs Python

The author says: Orchestrator skill. Managed Content Agents deployment requires a configured model provider key matching the selected backend, such as NVIDIA_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY, or GEMINI_API_KEY, Docker + NVIDIA Container Toolkit + GPU, Python 3.12, and an upstream checkout of nvidia-omniverse/content-agents at the ref pinned in upstream-versions.lock.json. Reused/provided endpoints may instead use explicit endpoint and usage-token environment variables. Linux/macOS only.

Security

What our scanner noticed· Medium risk

Large base64-encoded blobs
Instructions that use the network
Downloads piped into a shell
Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

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Attribution and licence

Created by

Omniverse

Publisher

NVIDIA (Official)

Distributed by

NVIDIA

Source

NVIDIA/skills · skills/omniverse-cad-to-simready · commit fce3cca

Licence

Apache License 2.0 (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE-APACHE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-08

AutoGineer is not affiliated with or endorsed by Omniverse or NVIDIA.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download omniverse-cad-to-simready.zip

From the author

AutoGineer summary

What it does

When to use it

Advantages

Usage examples

Install

Documentation by Omniverse

CAD to SimReady

When to Use

Prerequisites

First Action

Instructions

Output Format

Detailed References

Publishing Layout Notes

Limitations

Troubleshooting

Hard Rules

Files

references/convert-to-usd/README.md

Convert to USD

When to Use

Prerequisites

Routing

USD Exchange Backing

Instructions

CLI Pattern

Output Format

Scripts

Limitations

Troubleshooting

Runtime Availability

Unsupported Cases

Requirements and compatibility

Security

Attribution and licence

Related skills

Setup TS Deep Modules

To Spec

Improve Codebase Architecture

Domain Modeling

Codebase Design

Prototype

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