Omniverse Cad To Simready
NVIDIAOfficialCreated by OmniverseDistributed by NVIDIA
- Skill
- Workflow
- Software development
- Apache-2.0
- Medium risk
- Has scripts
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/downloadUnzip 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
preflightfirst for deterministic setup: it installs/verifies local upstream checkouts, writes acad-to-simready-preflight.jsonmanifest, and exportsPHYSICAL_AI_PREFLIGHT_MANIFESTplusPHYSICAL_AI_REQUIRE_PREFLIGHT=1for downstream references.Python 3.12 and
uv(per repoREADME.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.mdfor 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_intentbefore running any asset inspection, converter probe, conversion, validation, conformance, rendering, or packaging step.Run
preflightfor the selected workflow targets, unless a readyPHYSICAL_AI_PREFLIGHT_MANIFESTis 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-toolsvalue to scope dependency checks, butconvert-to-usdand 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.mdandreferences/commands.md, then run only the stage references needed for the current request.Run
identify-asset-contexton 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-minimumbefore expensive downstream work. Treat this as a viability gate only: record unit/profile issues such asmetersPerUnit != 1.0, but do not runsimready-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-profileon 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, andsimready-validate.Rerun
simready-conform-profilewhensimready-validatereports a repairable requirement, then rerun profile validation on the newest authored USD.Run
ovrtx-render-servicewhen preview, thumbnail, or inspection images are requested. When package outputs are requested, runassemble-package-sourcenext to create the cleandeliverable/package source from the final USD and thumbnail, then runnv-core-package-sampleandnv-core-package-sample-validationon 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=1is 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-simreadyrunner command.For source conversion, delegate to the
convert-to-usdreference; 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-profileor 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-validateor any SimReady profile validation before Content Agents. The only validation gate allowed before service calls isvalidate-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.001profile failure as an unclassified final finding. Route it to upstreamsimready-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
- ATTRIBUTION.mdAdded by AutoGineer936 B
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references/content-agents/references/physics-agent-client/README.md
Assign Physics Properties
When to Use
Use this reference after visual material assignment when an asset needs simulation physics. It is normally selected through the content-agents router and calls this reference's scripts/run.py, which talks to the Content Agents Physics Agent service API and downloads the physics-authored USD output.
This reference should be the main bridge between Content Agents property prediction and static SimReady validation. It is expected to author or return USD with physics schemas when the service succeeds.
Upstream Reference
Use the upstream NVIDIA Omniverse Content Agents Physics Agent client skill as the authoritative reference for service API behavior, endpoint semantics, request fields, and client-side troubleshooting:
Upstream skill:
https://github.com/nvidia-omniverse/content-agents/blob/v0.5.2/.codex/skills/physics-agent-client/SKILL.mdUpstream repository:
https://github.com/nvidia-omniverse/content-agentsat manifest pinv0.5.2Upstream service client:
https://github.com/nvidia-omniverse/content-agents/blob/v0.5.2/apps/physics_agent_service/client/client.py
Access note: Browser or raw-file fetches of the upstream skill URL can fail. If that happens, use the normalized local clone of https://github.com/nvidia-omniverse/content-agents checked out to the exact ref in upstream-versions.lock.json and read .codex/skills/physics-agent-client/SKILL.md from that checkout. Resolve that clone from CONTENT_AGENTS_UPSTREAM_ROOT, then $OMNIVERSE_CAD_TO_SIMREADY_UPSTREAM_ROOT/content-agents, then $HOME/.omniverse-cad-to-simready/upstreams/content-agents.
Do not copy or reinterpret upstream Physics Agent API behavior here. Keep this reference limited to this reference's wrapper contract, required environment, report shape, and downstream handoff.
Dependency Check
Require:
this reference's portable
scripts/run.pyandscripts/check_dependencies.pya reachable Physics Agent service URL through
--base-urlorCONTENT_AGENTS_PHYSICS_AGENT_BASE_URLCONTENT_AGENTS_PHYSICS_AGENT_TOKEN,PHYSICS_AGENT_TOKEN,CONTENT_AGENTS_TOKEN,NGC_API_KEY, orNVCF_API_KEYwhen the service requires bearer auth.
If no Physics Agent base URL is configured, do not immediately stop at assignment. Use deploy-content-agents with target physics; that
reference points to the upstream deployment skill and owns deployment details.
After deployment health checks pass, export the resulting host/client URL as
CONTENT_AGENTS_PHYSICS_AGENT_BASE_URL and rerun physics-agent-client.
First-time users must not run assignment before service readiness is settled.
Check for a reachable endpoint, then check for NVIDIA_API_KEY; if the key is
missing, ask the user to create/provide one and wait. When deployment succeeds
and the service is healthy, run this command.
If deployment is unavailable or fails because the upstream checkout, Docker/GPU prerequisites, renderer wiring, or required credentials are missing, preserve those deployment findings and then report the physics assignment as blocked. Do not hand-author substitute rigid bodies, colliders, mass, or friction data when this reference was selected.
Do not commit API keys, put them in reports, or pass them as command-line
arguments in normal workflows because process listings can expose argv. The
portable wrapper redacts tokens from its report command, but prefer
CONTENT_AGENTS_PHYSICS_AGENT_TOKEN, PHYSICS_AGENT_TOKEN,
CONTENT_AGENTS_TOKEN, NGC_API_KEY, NVCF_API_KEY, or matching *_FILE
variables from the environment. NVIDIA_API_KEY is deployment auth and is not
used as the default client bearer token. The --token option remains available
only for constrained automation that cannot inject environment variables.
Inputs
Collect:
| Input | Requirement |
|---|---|
asset_path | Required .usd, .usda, .usdc, or .usdz asset, preferably after material assignment. |
output_directory | Required directory for downloaded service artifacts. |
base_url | Optional Physics Agent service endpoint; overrides env-based base URL resolution. |
token | Optional bearer token; defaults to env. |
prompt | Optional property assignment guidance; prefer the material_physics_prompt from identify-asset-context when available. |
render_backend | Optional warp, ovrtx, or remote. |
optimize_usd | Optional Physics Agent USD optimizer preprocessing path. |
enable_deinstance | Optional optimizer setting; enabled by default for Physics Agent parity with upstream. |
enable_split | Optional optimizer setting that splits combined meshes into separate components. |
auto_optimize_composed_usd | Enabled by default. The wrapper inspects USD topology and automatically enables optimize_usd, enable_deinstance, and enable_split when it detects GeomSubset, instance, or prototype component topology. If system python3 cannot import pxr, the wrapper tries uv run --python 3.12 for this inspection before falling back to a skipped inspection. Use --no-auto-optimize-composed-usd to disable this behavior. |
convert_output_to_usd | Optional local wrapper workaround. When requested with --convert-output-to-usd, ensure the downloaded Physics Agent USD-family artifact is crate-backed .usd and report that .usd as output_usd_path. |
Optimizer Flags for Composed CAD Assets
The wrapper automatically inspects the input USD before the Physics Agent
request. When it detects instances, prototypes, or a single mesh partitioned by
GeomSubset children, it runs Physics Agent with all three optimizer controls:
--optimize-usd --enable-deinstance --enable-splitUse this combination after Material Agent output when the goal is component-level physics authoring. --optimize-usd enables the service preprocessing path, --enable-deinstance makes instance/prototype geometry writable when present, and --enable-split lets the optimizer split combined meshes into separate component prims before rendering, prediction, and physics schema application.
Before uploading USD-layer inputs to Physics Agent, the wrapper stages a
physics-only copy when it finds MDL shader sourceAsset attributes such as
pbr.mdl. Those MDL source files are not needed for physics authoring, and the
main optimizer can otherwise produce output that still points at missing
MDL sidecars during packaging. The report records this as
physics_upload_info.staged=true with stripped_mdl_source_assets.
The same upload-prep step clears unresolved service-internal USDZ subasset paths
from Material Agent outputs, for example
/var/material-agent/sessions/.../scene.usdz[textures/name.png]. Those paths
refer to files inside the Material Agent service container and are not available
to the local wrapper when it packages the materialized USD for Physics Agent.
The report records this as
physics_upload_info.cleared_unresolved_service_asset_paths.
After preparing the upload copy, the wrapper uses an available OpenUSD runtime
to inspect the prepared layer and packages all resolved layers and assets into
one USDZ for upload. Physics Agent does not accept unresolved dependencies: a
missing texture, payload, reference, or other sidecar fails locally before the
service session is created. Configure CONTENT_AGENTS_OPENUSD_PYTHON when the
process Python cannot import pxr and no trusted skill-project OpenUSD runtime is available.
For the GZIO connector test asset, the materialized USD has one combined mesh with six GeomSubset partitions. Running Physics Agent with these flags produced six split mesh parts and six corresponding rigid bodies instead of one rigid body on the combined mesh.
This optimizer path is a preprocessing hint, not a guarantee that the Physics
Agent will author one rigid body per component. If the returned USD still fails
RB.MB.001, hand the latest Physics Agent output to
simready-conform-profile and route the failure to
upstream simready-foundation-conform-fet-004-simulate-multi-body-physics when the asset
has at least two reusable component candidates. FET004 may promote existing
component colliders or part roots into separate rigid bodies when the profile
requires multibody physics and no new geometry is needed. For a single mesh
component or single GeomSubset component, simready-validate treats
RB.MB.001 as non-blocking and preserves it under ignored_issues.
Local Scene Optimizer Permission Workaround
For local Docker deployments, a known upstream issue can make the optimized
Physics Agent path fail immediately in optimize_usd with a service log like:
Permission denied: '/app/.build-resources/scene_optimizer_core/python'.
This is a Scene Optimizer bundle permission problem in the service container,
not a signal to disable --optimize-usd, --enable-deinstance, or
--enable-split for instanced/prototype topology.
When the report shows current_step.name=optimize_usd and the service failed
with no completed steps, inspect the Physics Agent service logs. If they show
the permission error above on a local container named
content-physics-agent-service, repair the running deployment and rerun the
same optimized Physics Agent command:
docker exec --user root content-physics-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_coreIf the container name differs, use the active Physics Agent service container.
If the endpoint is managed or remote and you cannot inspect or repair the
container, report the optimizer failure as blocked and include the optimized
attempt details. Track the upstream issue in the
https://github.com/nvidia-omniverse/content-agents issue tracker.
Instructions
Confirm the asset exists and is a USD-family file.
Resolve the Physics Agent endpoint from
--base-urlorCONTENT_AGENTS_PHYSICS_AGENT_BASE_URL.If no endpoint is available, check
NVIDIA_API_KEY; if missing, ask the user to provide one and wait.Use
deploy-content-agentswith targetphysics; when deployment succeeds and the service is healthy, setCONTENT_AGENTS_PHYSICS_AGENT_BASE_URLand return to this workflow.If an asset context report exists, use its likely identity, evidence, physics hints, and confidence to craft
--prompt.Run this reference's portable
scripts/run.py.Preserve the JSON report, physics-authored USD output, predictions JSONL, dataset JSONL, and HTML report when available. The upstream
/output-usdartifact extension follows the input asset or the service response filename; do not assume it is.usda.When ASCII USDA output or universal
.usdoutput would block downstream validators that expect crate-backed USD, add--convert-output-to-usdso the wrapper exports the downloaded artifact to crate-backed.usd. Already crate-backed.usdoutput is accepted as-is.If the optimized path fails at
optimize_usd, inspect service logs before accepting a no-optimizer retry as diagnostic. For the local Scene Optimizer permission failure above, repair the container permissions and rerun the optimized command.Use
output_usd_pathfrom the report as the input tosimready-conform-profile.
CLI Pattern
python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/physics-agent-client/scripts/run.py asset.usda output_dir/physics \
--render-backend remote \
--convert-output-to-usd \
--prompt "$ASSET_CONTEXT_PROMPT" \
--report output_dir/physics/physics-agent-client.jsonAdd --base-url "$CONTENT_AGENTS_PHYSICS_AGENT_BASE_URL" only when overriding the URL resolved from the environment.
The wrapper auto-enables --optimize-usd --enable-deinstance --enable-split
for composed CAD topology. Pass those flags explicitly when the caller already
knows component-level processing is required, or pass
--no-auto-optimize-composed-usd for hand-authored USD where topology changes
are not desired.
Use --convert-output-to-usd only as a local post-processing workaround. It does not change the upstream Physics Agent service response; it opens the downloaded USD-family artifact with OpenUSD when conversion is needed, exports the root layer to .usd, and verifies the result is crate-backed. If the downloaded artifact is already crate-backed .usd, the wrapper reports that path directly.
Output Format
The report includes:
asset_pathskillagenttoolpassedstatusbase_urlsession_idoutput_directoryoutput_usd_path; with--convert-output-to-usd, this points to the converted crate-backed.usdartifactsservice_statusservice_resultsusd_topologyandphysics_optimizerfor Physics Agent topology inspection and effective optimizer decisionsphysics_upload_infowhen the wrapper stages a physics-safe upload copycheckswarningserrorsnext_step
Pass/Fail Policy
Fail or block when:
the input asset is missing or not USD-family
the service URL is missing and
deploy-content-agentscannot deploy a healthy Physics Agent servicethe service session fails or times out
the required physics-authored USD artifact cannot be downloaded
--convert-output-to-usdis requested and the local OpenUSD conversion to crate-backed.usdfails
Warn when optional prediction, dataset, or HTML report artifacts are unavailable.
Next Steps
Use this handoff:
| Result | Next step |
|---|---|
| Physics-authored USD downloaded | Run simready-conform-profile on output_usd_path. |
| Service endpoint missing | Check NVIDIA_API_KEY, use deploy-content-agents target physics, export CONTENT_AGENTS_PHYSICS_AGENT_BASE_URL, then rerun. |
| Service deployment blocked | Resolve the deployment blocker, or configure a Physics Agent base URL and usage token, then rerun. |
| Service failed | Inspect service_status, service_results, predictions, and report artifacts. |
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
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