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/README.md
Content Agents
When to Use
Use this router reference after USD conversion and minimum USD validation when an asset needs NVIDIA Omniverse Content Agents service calls. Select the right nested call reference, preserve each service report, and hand the newest USD or USDZ artifact to the next workflow stage.
This is not the deployment workflow and not a replacement for the service-specific call references. If an endpoint is missing, hand off to deploy-content-agents for the required target, then return to this router and run the selected service call.
This installed router reference ships a narrow scripts/run.py control-plane wrapper for deterministic service sequencing and report generation. It still delegates service calls to the portable scripts/run.py from each selected service reference; it does not reimplement Material, Physics, or Texture Agent behavior.
Prerequisites
Python 3.12 and
uv(per repoREADME.md).Prefer a ready
PHYSICAL_AI_PREFLIGHT_MANIFESTfrom thepreflightreference. The client wrappers consume preparedCONTENT_AGENTS_*_BASE_URLendpoints from that manifest before falling back to direct environment variables. WhenPHYSICAL_AI_REQUIRE_PREFLIGHT=1is set, missing or unhealthy services block at the preflight guardrail.A required
.usd,.usda,.usdc, or.usdzinput asset.Reachable Material, Physics, Texture, or OVRTX endpoints through
CONTENT_AGENTS_*_BASE_URL, unless this router hands off to deployment first.Bearer auth through explicit usage token environment variables when a provided endpoint requires auth:
CONTENT_AGENTS_TOKEN,NGC_API_KEY,NVCF_API_KEY, or selected service-specific variables such asCONTENT_AGENTS_MATERIAL_AGENT_TOKEN,MATERIAL_AGENT_TOKEN,CONTENT_AGENTS_PHYSICS_AGENT_TOKEN,PHYSICS_AGENT_TOKEN,CONTENT_AGENTS_TEXTURE_AGENT_TOKEN, orTEXTURE_AGENT_TOKEN.
Routing
Choose the smallest route that satisfies the user request and selected workflow profile:
| Request or evidence | Route |
|---|---|
| Visual appearance, material prediction, or material bindings | material-agent-client |
| Rigid bodies, colliders, mass, density, friction, restitution, or simulation physics properties | physics-agent-client |
| Textured output, texture artifacts, or textured USDZ generation | texture-agent-client |
| Broad Content Agents enrichment for SimReady or simulation use | material-agent-client then physics-agent-client; add texture-agent-client only when textured output is requested |
| Missing Material, Physics, Texture, or OVRTX service endpoint | deploy-content-agents for the missing target, then rerun the selected call reference |
| Deployment-only request | deploy-content-agents; do not treat this router as the deployment workflow |
Prefer explicit user intent over default ordering. For simulation-readiness, run visual material assignment before physics assignment so the Physics Agent can use the materialized USD when available. Run texture generation after material assignment, and do not replace the physics-authored USD path for simulation validation unless the user explicitly wants to validate the textured USDZ.
Run the local router when more than one Content Agents call is selected so path handoff is deterministic:
python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/scripts/run.py \
/path/to/material_input.usd \
--output-dir /path/to/output/content-agents \
--call material \
--call physics \
--report /path/to/output/content-agents/content-agents.jsonAdd --call texture only when textured output or textured packaging is requested. The consolidated output_usd_path remains the latest simulation USD when physics ran; textured_usdz_path is reported separately.
Inputs
Collect:
| Input | Requirement |
|---|---|
asset_path | Required .usd, .usda, .usdc, or .usdz input. |
output_root | Required directory for service reports and downloaded artifacts. |
material_intent | Whether to run, skip, or require visual material assignment. |
physics_intent | Whether to run, skip, or require physics property assignment. |
texture_intent | Whether to run, skip, or require texture generation. |
asset_context_report | Optional context report from identify-asset-context; use its material_physics_prompt when present. |
service_endpoints | Optional Material, Physics, Texture, and OVRTX URLs from env or user input. Check CONTENT_AGENTS_MATERIAL_AGENT_BASE_URL, CONTENT_AGENTS_PHYSICS_AGENT_BASE_URL, and CONTENT_AGENTS_TEXTURE_AGENT_BASE_URL. |
NVIDIA_API_KEY availability | Required only before local deployment when service endpoints are missing. Do not use it as the default bearer token for already-running endpoints. |
Instructions
Confirm the asset exists and is USD-family.
Determine the requested Content Agents calls from user intent, workflow defaults, and selected SimReady profile.
Resolve required service endpoints from explicit inputs or
CONTENT_AGENTS_*_BASE_URL.For each missing required endpoint, use
deploy-content-agentswith the matching target. Require a healthy service before returning to this router.Do not run
simready-conform-profile, FET001 unit normalization, or other FET repairs before the first Content Agents call. If minimum USD validation foundmetersPerUnit != 1.0or another repairable SimReady issue, record it for the post-assignment conformance pass and continue with the converted/minimum-valid USD as the service input.Use the
material-agent-clientreference first when material assignment is requested or needed. Its wrapper stages USD-layer uploads without MDL shadersourceAssetreferences when those references point at missing converter sidecars such asgltf/pbr.mdl; preserve thematerial_upload_infofield from its report.Use the
physics-agent-clientreference on the latest materialized USD path when physics assignment is requested or needed. Its wrapper automatically inspects USD topology and enables--optimize-usd --enable-deinstance --enable-splitfor composed CAD assets withGeomSubset, instance, or prototype component structure. It also stages Physics Agent uploads without MDL shadersourceAssetreferences and unresolved service-internal USDZ subasset paths from Material Agent outputs when those references would only affect visual material source files and can break main optimizer packaging. If the optimized Physics service path fails because Scene Optimizer is unavailable, the wrapper retries once without the optimizer flags and records both attempts. Preserve theusd_topology,physics_optimizer,physics_upload_info, andattemptsfields from its report.Use the
texture-agent-clientreference only when texture generation or textured packaging is requested.Preserve each JSON report and report HTML or prediction artifact when available.
Summarize the selected route, service readiness decisions, generated artifacts, latest USD-family output, and next handoff.
When an existing service endpoint requires bearer auth, export an explicit
usage token environment variable before running the command. Use
CONTENT_AGENTS_TOKEN for a shared Content Agents token, service-specific
CONTENT_AGENTS_*_TOKEN / *_AGENT_TOKEN variables for one service, or
NGC_API_KEY / NVCF_API_KEY for provided NVCF endpoints. Do not use
NVIDIA_API_KEY as the default client token; it is deployment auth. Do not pass
secrets as command-line arguments in normal workflows because process listings
can expose argv. In normal agent workflows, omit --token entirely, including
empty strings or placeholders, and let the wrapper read the credential from env
or a *_FILE variable. The wrapper still accepts --token for constrained
automation, but that path should be treated as a fallback.
For detached or shared-host runs, prefer file-backed secrets such as
CONTENT_AGENTS_TOKEN_FILE, NGC_API_KEY_FILE,
MATERIAL_AGENT_TOKEN_FILE, PHYSICS_AGENT_TOKEN_FILE, or
TEXTURE_AGENT_TOKEN_FILE. The wrappers read the token from those files when
the corresponding environment variable is unset, which avoids exposing token
values through shell expansion or process argv.
The service wrappers poll /pipeline/<session>/status until the service reaches
a terminal state or the wrapper timeout expires. Transient polling failures such
as SSL or connection timeouts, HTTP 408, HTTP 429, or HTTP 5xx responses are
retried and recorded as warnings when the service later completes.
Multi-File USD Uploads
The service API accepts a single uploaded USD-family file. When the input USD
uses external layers or asset dependencies, the wrappers inspect dependencies
with OpenUSD and package the asset as USDZ for upload with
UsdUtils.CreateNewUsdzPackage. The report records this in upload_info and
upload_packaging. Prefer this packaging path over flattening because it keeps
the authored layer structure and referenced assets together for the service.
When the process Python cannot import pxr, the wrappers try
CONTENT_AGENTS_OPENUSD_PYTHON, USD_CONVERT_CAD_PYTHON, the skill repository's
.venv, and uv run --python 3.12 in that order. They never discover or
execute a .venv from the caller's asset directory; uv is bound to the
skill-owned project when one is present and otherwise runs with --no-project.
The same resolver is used for topology inspection, MDL/service-path preparation,
and dependency packaging. upload_info records the selected
inspection_runtime, executable, dependency paths, unresolved paths, packaging
decision, and package size. If no runtime can inspect a local USD, the wrapper
fails before creating a service session and asks for an already self-contained
USDZ or a configured OpenUSD Python instead of silently uploading one raw layer.
Material Agent alone may receive an original USD with unresolved texture paths
when inspection finds no resolved sidecars, because missing source textures can
be replaced during material prediction. The report records that exception as
missing_textures_passthrough with a warning. If a missing texture prevents
OpenUSD from packaging otherwise resolved dependencies, the wrapper fails before
session creation instead of uploading a root layer that omits those sidecars.
Missing USD layers or other non-texture dependencies always fail, and Physics
and Texture Agent uploads reject every unresolved dependency.
Rate Limits
Wrapper retries cover transient status polling and delayed artifact download failures, including HTTP 429 responses visible to the wrapper. They do not retry per-prim VLM prediction failures that the Material Agent records inside a completed service session. If predictions are partially rate-limited, preserve the service report, rerun later or with a smaller asset/workload when possible, and use a higher-quota service key for large assemblies.
Command Patterns
Material assignment:
python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/material-agent-client/scripts/run.py asset.usda output_dir/content-agents/materials \
--prompt "$ASSET_CONTEXT_PROMPT" \
--report output_dir/content-agents/material-agent-client.jsonThe Material Agent wrapper sends vlm_max_workers=1 and omits the service-side
render step by default. Use --vlm-max-workers, --render-num-workers, or
--material-steps only when the selected service run needs different
concurrency or its own render artifact.
For any existing endpoint that requires a different bearer token, set
MATERIAL_AGENT_TOKEN, PHYSICS_AGENT_TOKEN, or TEXTURE_AGENT_TOKEN in the
environment for the selected service instead of changing wrapper defaults. Use
the matching *_FILE variable when the run is long-lived or process listings
are visible to other users.
If the Material Agent optimized path was intended but local service logs show
Scene Optimizer failed — continuing pipeline without optimization together
with Permission denied: '/app/.build-resources/scene_optimizer_core/python', repair the running local
Material Agent container permissions and rerun the same Material Agent command.
This is a local Scene Optimizer bundle permission issue, not an asset-level
reason to disable optimize_usd.
Physics assignment:
python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/physics-agent-client/scripts/run.py output_dir/content-agents/materials/output_material.usd output_dir/content-agents/physics \
--render-backend remote \
--convert-output-to-usd \
--prompt "$ASSET_CONTEXT_PROMPT" \
--report output_dir/content-agents/physics-agent-client.jsonThe Physics Agent wrapper auto-enables --optimize-usd --enable-deinstance --enable-split when USD inspection detects composed component topology, and it
falls back to a no-optimizer retry when the service reports an optimizer setup
failure. If the optimized attempt fails immediately at optimize_usd with no
completed service steps, inspect the Physics Agent service logs before treating
the no-optimizer retry as meaningful. On local Docker deployments, a known
Scene Optimizer bundle permission issue can appear as
Permission denied: '/app/.build-resources/scene_optimizer_core/python'; repair
the running service container permissions and rerun the optimized command
instead of disabling deinstance/split for instanced topology. Do not wrap the
call in a shorter external timeout or terminate the wrapper while the service
remains non-terminal and its current step or progress is advancing.
Remote-rendered Physics stages such as identify_asset, build_dataset_usd,
predict, restore_usd, and apply_physics can take many minutes on CAD or
instanced assets; wait for the wrapper to return its JSON report unless the
service reaches a terminal failure state or the wrapper's own timeout expires.
If the
physics-authored USD still has one rigid body and the selected profile reports
RB.MB.001, keep the service output and route that validation failure through
simready-conform-profile / upstream
simready-foundation-conform-fet-004-simulate-multi-body-physics only when the USD has at
least two reusable component candidates. For a single mesh component or single
GeomSubset component, simready-validate treats RB.MB.001 as non-blocking
and records it under ignored_issues; do not retry the same Physics Agent call
blindly.
If system python3 cannot import pxr, the Material and Physics wrappers try
uv run --python 3.12 for OpenUSD topology inspection. Upload dependency
inspection and packaging use the broader fail-closed runtime resolution described
under Multi-File USD Uploads. Upload-copy preparation also tries the uv runtime
when stripping missing MDL shader sources or clearing unresolved service-internal
USDZ subasset paths before packaging.
Texture generation:
python3 /path/to/skills/omniverse-cad-to-simready/references/content-agents/references/texture-agent-client/scripts/run.py output_dir/content-agents/materials/output_material.usd output_dir/content-agents/textures \
--report output_dir/content-agents/texture-agent-client.jsonUse the concrete output_usd_path, output_usdz_path, or downloaded artifact paths from each report. Do not assume placeholder filenames from examples.
Output Format
The router summary should include:
| Field | Meaning |
|---|---|
input_asset_path | Original USD-family input path. |
selected_calls | Ordered Content Agents call references selected by this router. |
deployment_handoffs | Any deploy-content-agents targets needed before calls. |
reports | JSON report paths for each call reference. |
materialized_usd_path | USD path after visual material assignment, when available. |
physics_usd_path | USD path after physics assignment, when available. |
textured_usdz_path | USDZ path after texture generation, when available. |
output_usd_path | Latest USD-family artifact for downstream validation or conformance. |
next_step | Usually simready-conform-profile or validation. |
Limitations
This router is not the deployment workflow and not a replacement for the service-specific call references.
Run texture generation only when texture generation or textured packaging is requested.
Do not replace the physics-authored USD path for simulation validation with a textured USDZ unless the user explicitly requests that validation target.
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
| Service call fails because endpoint requires bearer auth and the wrapper's default token is wrong | Endpoint-specific credentials are not the wrapper's default environment token | Export the selected service token environment variable before running the command. Avoid --token except when environment injection is impossible. |
| Required service endpoint missing | CONTENT_AGENTS_*_BASE_URL is unset | Hand off to deploy-content-agents for the missing target, then return to this router and rerun. |
Material Agent renders 0 images after a pre-assignment FET repair | The input USD was normalized or otherwise rewritten before Material Agent, which can change layer composition or scene traversal behavior seen by the service | Restart Content Agents from the converted/minimum-valid USD, then run simready-conform-profile and FET fixes on the latest service-authored USD. |
Material Agent local logs show Scene Optimizer failed — continuing pipeline without optimization and Permission denied: '/app/.build-resources/scene_optimizer_core/python' | Local Docker Scene Optimizer bundle parent directory is not traversable by the non-root material-agent user; tracked upstream in the nvidia-omniverse/content-agents issue tracker | For the running local container, run docker exec --user root content-material-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized Material Agent command. If the service is remote or cannot be repaired, include the optimizer-bypass evidence in the handoff. |
Physics Agent fails immediately in optimize_usd with no completed steps, and local service logs show Permission denied: '/app/.build-resources/scene_optimizer_core/python' | Local Docker Scene Optimizer bundle parent directory is not traversable by the non-root physics-agent user; tracked upstream in the nvidia-omniverse/content-agents issue tracker | For the running local container, run docker exec --user root content-physics-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized Physics Agent command. If the service is remote or cannot be repaired, report the optimized attempt as blocked. |
| Selected Content Agents call fails or times out | Service-level failure | Inspect the specific call's JSON report and retry that service reference after fixing the service or input issue. Do not hand-author substitute material/physics bindings. |
Physics Agent appears slow during identify_asset, build_dataset_usd, predict, restore_usd, or apply_physics | Remote rendering, VLM inference, or CAD/instanced topology can make valid service steps take many minutes | Keep waiting while the wrapper polls and the service remains non-terminal with changing status/progress. Do not terminate the wrapper and write a substitute report. |
Pass/Fail Policy
Block when a required service endpoint is missing and deploy-content-agents cannot deploy or verify the service.
Fail when a selected Content Agents call fails, times out, or cannot download its required output artifact.
Skip when the user explicitly disables a call, the selected profile does not need that enrichment, or texture generation is not requested.
Warn when optional prediction files, report HTML, or texture artifacts are unavailable but the required USD-family handoff exists.
Next Steps
Use this handoff:
| Result | Next step |
|---|---|
| Material and physics assignment completed | Run simready-conform-profile on the latest physics-authored USD. |
| Texture generation completed for visual packaging | Use the textured artifact for packaging or preview; keep the physics USD for simulation validation unless requested otherwise. |
| Service deployment blocked | Resolve the deployment blocker or configure the missing service base URL and usage token, then rerun this router. |
| Selected call failed | Inspect the specific call report and retry that service reference after fixing the service or input issue. |
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.
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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
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