Omniverse Cad To Simready
OpenAIOfficialCreated by OmniverseDistributed by OpenAI
- Skill
- Workflow
- Software development
- Apache-2.0
- Medium risk
- Has scripts
From the skill’s files
Taken from the skill’s own files (its description, section headings and stated usage). Not an AutoGineer summary, and not written by the author as one.
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. Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package. This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly. Do not replace the workflow with a single monolithic runner command.
What it does
- When to Use
- Prerequisites
- Minimum Viable Scope
- First Action
- Instructions
- Output Format
When to use it
- 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…
- Use this workflow skill when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package.
- This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly.
- This skill is documentation-driven and does not ship scripts/run.py.
- It should not depend on a repository checkout.
- When a stage needs deterministic execution, run the portable script from that stage reference's installed directory.
Advantages
The skill’s files do not state this.
Usage examples
The skill’s files do not state this.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/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 when the user wants an end-to-end pipeline from a source asset to a SimReady asset or package. This skill coordinates existing conversion, authoring, validation, conformance, rendering, and packaging references directly. Do not replace the workflow with a single monolithic runner command.
This skill is documentation-driven and does not ship scripts/run.py. It
should not depend on a repository checkout. When a stage needs deterministic
execution, run the portable script from that stage reference's installed
directory. Shell is declared because this workflow invokes installed stage
reference scripts directly; it still must not grow a monolithic runner.
Prerequisites
Prefer running the
preflightreference first for deterministic setup. It installs or 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).NVIDIA_API_KEY from
https://build.nvidia.comwhen local Content Agents deployment will run. Already-running endpoints may instead use explicit endpoint variables plus usage tokens such asNGC_API_KEY,NVCF_API_KEY, orCONTENT_AGENTS_*_TOKEN.Docker, NVIDIA Container Toolkit, and an NVIDIA GPU for Content Agents and OVRTX stages.
Local upstream checkouts under
${PHYSICAL_AI_SKILL_HUB_UPSTREAM_ROOT:-$HOME/.physical-ai-skill-hub/upstreams}when a downstream stage needs upstream scripts or specs.
Minimum Viable Scope
Conversion-only is a valid workflow request. When the user asks only to convert
or smoke-test source asset conversion, 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.
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.
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.
Before invoking converter, validation, Content Agents, OVRTX, packaging, or FET
helper scripts, run the preflight reference or verify an existing
PHYSICAL_AI_PREFLIGHT_MANIFEST. Treat preflight as the mandatory dependency
bootstrap step, not as workflow routing. If the user explicitly asks not to
deploy services or asks for conversion-only/validation-only, use
--skip-content-agents.
When PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set and a required component is not
ready in the manifest, downstream references must block with the preflight
guardrail instead of rediscovering upstreams or services directly.
When property_assignment_intent=run, the first operational action after
confirming the source path and resolving intent is to verify or deploy Content
Agents services. Do this before asset-context inspection, converter dependency
checks, conversion, validation, conformance, rendering, packaging, or upstream
source builds.
Use healthy existing endpoints when available. If OVRTX, Material, or Physics
endpoints are missing or unhealthy, run deploy-content-agents
first and do not continue until the shared standalone OVRTX renderer plus
independent Material and Physics service containers are healthy and exported
through CONTENT_AGENTS_*_BASE_URL. Deploy the Texture Agent too when texture
generation is requested.
If required deployment authentication is missing, ask the user for
NVIDIA_API_KEY and wait. If a provided endpoint requires usage auth, ask for
the appropriate usage token instead. If deployment cannot produce healthy
services, report Content Agents readiness as blocked instead of proceeding to
conversion.
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.
Use the simready-conform-profile reference only after property assignment
when property_assignment_intent=run. It routes feature repair to upstream
SimReady Foundation FET skills such
as simready-foundation-conform-fet-000-core,
simready-foundation-conform-fet-001-minimal,
simready-foundation-conform-fet-004-simulate-multi-body-physics, and
simready-foundation-conform-fet-005-simulate-grasp-physics from branch
main.
If simready-validate reports a repairable requirement after the first
conformance pass, feed the structured requirement IDs back into
the simready-conform-profile reference before writing the final result. In
particular, GSP.001 is owned by upstream
simready-foundation-conform-fet-005-simulate-grasp-physics; run that skill when a
vision-capable agent can inspect visual evidence or explicit grasp points were
provided, otherwise record the FET005 step as blocked by missing vision/points
instead of treating it as an optional preview task.
For RB.MB.001, route the failure to
upstream simready-foundation-conform-fet-004-simulate-multi-body-physics. Do not assume
multiple visual prims are multiple rigid bodies; inspect
UsdPhysics.RigidBodyAPI applications. When the Physics Agent report shows
composed topology optimization or the USD has existing component colliders/part
roots and the profile validator reports FET004/RB.MB.001, FET004 should promote
those existing components into rigid bodies without creating geometry. Do not
mark the gate not applicable until after confirming there are fewer than two
reusable body candidates.
Output Format
Emit a consolidated workflow report in Markdown, and include JSON when the workflow writes structured artifacts. The report must include:
Overall status:
passed,blocked,failed, orneeds_rerun.Request summary: source asset path, detected source format, output root, selected SimReady profile/version, and property assignment intent.
Ordered stage results: stage reference, input artifact, output USD or USDZ path, report path, status, blocker reason, and rerun reason when applicable.
Content Agents readiness and property assignment results with service URLs, tokens, and credentials redacted.
Conformance and validation findings grouped by gate, requirement ID, selected FET repair reference, repair-loop attempt, and final disposition.
Final artifacts: final reported USD path, render preview path when requested, package root and package validation report when packaging ran, Markdown report path, JSON report path when present, and recommended next work.
Detailed References
Read only the references needed for the current request:
references/preflight/README.md: deterministic local setup, manifest/env contract, Linux and Windows wrappers, Content Agents deployment opt-out, and guardrail behavior.references/workflow.md: inputs, source routing, detailed workflow, validation policy, output report fields, approval points, and next steps.references/commands.md: concrete portable script command patterns for each stage.references/assemble-package-source/README.md: two-zone package source assembly, canonical root USD naming, thumbnail placement, and self-contained deliverable checks.
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 .codex/skills and .claude/skills are
agent-specific compatibility aliases.
Frontmatter keeps version and tools at top level for agentskills.io runtime
compatibility. NVCARPS discoverability fields live under metadata.
The nested references/ tree is intentional. It keeps one public catalog skill
while retaining script-bearing atomic stage references, upstream handoff notes,
and router documentation under the workflow. Do not flatten those references or
promote nested README references to sibling SKILL.md files unless the repo's
publishing model changes.
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.
Stop at the first failing deployment, conversion, property-assignment, or conformance authoring gate unless the user explicitly asks for best-effort continuation.
Upstream
simready-foundation-conform-fet-005-simulate-grasp-physicsneeds visual review or explicit grasp points before it can author a meaningful grasp vector.
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
| Downstream reference reports that cad-to-simready preflight has not prepared a component | PHYSICAL_AI_REQUIRE_PREFLIGHT=1 is set, but the manifest is missing or the required runtime/service is not ready | Run preflight/scripts/preflight.py, source the generated env file, or explicitly disable service deployment with --skip-content-agents only when Content Agents are out of scope. |
Workflow stops on GSP.001 and reports the failure as unclassified | Visual evidence or explicit grasp points were not provided to FET005 | Run upstream simready-foundation-conform-fet-005-simulate-grasp-physics only after a vision-capable agent has reviewed the asset, or pass explicit grasp points. Otherwise report the FET005 step as blocked, not failed. |
| Validation fails after a meaningful USD artifact already exists | Workflow stopped at the first validation finding | Continue remaining diagnostic gates and mark the result needs_rerun. Do not stop at validation findings once a USD artifact has been produced. |
| Property-assignment stage fails with a missing service endpoint | Content Agents service was not deployed before conversion | Run deploy-content-agents first. Do not start asset inspection, conversion, validation, conformance, rendering, or packaging before Content Agents readiness when property assignment will run. |
Material Agent reports that rendering produced 0 images after unit or profile repair | A FET repair, commonly FET001 unit normalization, was applied before Material Agent and changed the USD layering/scene state consumed by the service | Rerun assignment from the converted/minimum-valid USD: Material Agent first, then Physics Agent, then run simready-conform-profile and FET repairs on the latest service-authored USD. |
Material or Physics Agent local optimized path reports Permission denied: '/app/.build-resources/scene_optimizer_core/python' | Local Docker Scene Optimizer bundle permissions prevent the non-root service user from reading the packaged SO runtime | Repair the relevant local container with docker exec --user root content-material-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core or docker exec --user root content-physics-agent-service chmod -R a+rX /app/.build-resources/scene_optimizer_core, then rerun the same optimized agent command. Do not treat the no-optimizer fallback as the root cause for instanced/prototype assets. |
RB.MB.001 fails even though the asset has many prims | The profile counts UsdPhysics.RigidBodyAPI prims, not visual or collider prims; Physics Agent may author one root rigid body | Route to upstream simready-foundation-conform-fet-004-simulate-multi-body-physics. First ensure Physics Agent used composed-topology optimization when applicable, then promote existing component colliders/part roots when the active profile reports FET004/RB.MB.001 and no geometry must be invented. |
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 AutoGineer1.0 KiB
- BENCHMARK.md7.2 KiB
- LICENSEAdded by AutoGineer10.0 KiB
- SKILL.md17.5 KiB
- agents/openai.yaml427 B
- evals/evals.json4.0 KiB
- evals/files/minimal_mesh.stl157 B
- references/assemble-package-source/README.md3.5 KiB
- references/assemble-package-source/scripts/check_dependencies.pyScript1.1 KiB
- references/assemble-package-source/scripts/report_schema.json1.2 KiB
- references/assemble-package-source/scripts/run.pyScript17.6 KiB
- references/commands.md5.3 KiB
- references/content-agents/README.md18.6 KiB
- references/content-agents/references/material-agent-client/README.md12.1 KiB
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- references/content-agents/scripts/content_agent_client.pyScript71.2 KiB
- references/content-agents/scripts/content_agent_material_cleanup.pyScript10.7 KiB
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- references/content-agents/scripts/run.pyScript9.6 KiB
- references/convert-to-usd/README.md10.7 KiB
- references/convert-to-usd/references/mujoco-usd-converter/README.md4.0 KiB
- references/convert-to-usd/references/mujoco-usd-converter/scripts/check_dependencies.pyScript1.5 KiB
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- references/convert-to-usd/references/openusd-exchange-sdk-usdex/README.md4.7 KiB
- references/convert-to-usd/references/urdf-usd-converter/README.md3.8 KiB
- references/convert-to-usd/references/urdf-usd-converter/scripts/check_dependencies.pyScript1.5 KiB
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- references/convert-to-usd/references/usd-convert-cad/README.md11.7 KiB
- references/convert-to-usd/references/usd-convert-cad/scripts/check_dependencies.pyScript8.3 KiB
- references/convert-to-usd/references/usd-convert-cad/scripts/kit_app_template_cad.pyScript27.2 KiB
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- references/convert-to-usd/references/usd-convert-cad/scripts/run.pyScript25.4 KiB
- references/convert-to-usd/references/usd-convert-gsplat/README.md4.2 KiB
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- references/convert-to-usd/scripts/check_dependencies.pyScript1.7 KiB
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- references/convert-to-usd/scripts/run.pyScript22.6 KiB
- references/deploy-content-agents/README.md7.9 KiB
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- references/nv-core-package-sample-validation/README.md5.2 KiB
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- references/nv-core-package-sample/README.md6.2 KiB
- references/nv-core-package-sample/scripts/check_dependencies.pyScript419 B
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- references/omni-asset-validate-geometry/README.md3.5 KiB
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- references/omni-asset-validate-geometry/scripts/run.pyScript2.0 KiB
- references/omni-asset-validate-physics/README.md3.4 KiB
- references/omni-asset-validate-physics/scripts/check_dependencies.pyScript1.5 KiB
- references/omni-asset-validate-physics/scripts/report_schema.json362 B
- references/omni-asset-validate-physics/scripts/run.pyScript2.0 KiB
- references/omni-asset-validate/README.md3.5 KiB
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- references/ovrtx-render-service/README.md13.5 KiB
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- references/preflight/README.md9.9 KiB
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- references/simready-conform-profile/README.md13.7 KiB
- references/simready-conform-profile/references/FET_000_CORE/README.md1.3 KiB
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- references/simready-conform-profile/references/FET_000_CORE/scripts/run.pyScript11.6 KiB
- references/simready-conform-profile/references/FET_001_MINIMAL/README.md1.5 KiB
- references/simready-conform-profile/references/FET_001_MINIMAL/scripts/check_dependencies.pyScript1.9 KiB
- references/simready-conform-profile/references/FET_001_MINIMAL/scripts/report_schema.json668 B
- references/simready-conform-profile/references/FET_001_MINIMAL/scripts/run.py16.3 KiB
- references/simready-conform-profile/references/FET_004_SIMULATE_MULTI_BODY_PHYSICS/README.md1.4 KiB
- references/simready-conform-profile/references/FET_004_SIMULATE_MULTI_BODY_PHYSICS/scripts/check_dependencies.py1.6 KiB
- references/simready-conform-profile/references/FET_004_SIMULATE_MULTI_BODY_PHYSICS/scripts/report_schema.json1.0 KiB
- references/simready-conform-profile/references/FET_004_SIMULATE_MULTI_BODY_PHYSICS/scripts/run.py13.3 KiB
- references/simready-conform-profile/references/FET_005_SIMULATE_GRASP_PHYSICS/README.md1.8 KiB
- references/simready-conform-profile/references/FET_005_SIMULATE_GRASP_PHYSICS/scripts/author_grasp_line.py11.2 KiB
- references/simready-conform-profile/scripts/check_dependencies.py1.9 KiB
- references/simready-conform-profile/scripts/report_schema.json466 B
- references/simready-conform-profile/scripts/run.py19.8 KiB
- references/simready-validate/README.md9.5 KiB
- references/simready-validate/scripts/check_dependencies.py4.2 KiB
- references/simready-validate/scripts/report_schema.json480 B
- references/simready-validate/scripts/run.py27.9 KiB
- references/validate-usd-minimum/README.md2.5 KiB
- references/validate-usd-minimum/scripts/check_dependencies.py1.7 KiB
- references/validate-usd-minimum/scripts/report_schema.json1.3 KiB
- references/validate-usd-minimum/scripts/run.py11.5 KiB
- references/workflow.md15.7 KiB
- shared/preflight_manifest.py6.0 KiB
- shared/script_utils.py11.7 KiB
- shared/simready_package.py33.6 KiB
- shared/simready_package_check_dependencies.py1.7 KiB
- shared/simready_package_report_schema.json702 B
- shared/usd_convert_cad_diagnostics.py3.2 KiB
- skill-card.md2.9 KiB
- skill.oms.sig38.3 KiB
references/convert-to-usd/references/usd-convert-cad/scripts/kit_app_template_cad.py
# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import json
import os
from pathlib import Path
import platform
import shlex
import subprocess
import sys
from typing import Any
sys.path.insert(0, str(Path(__file__).resolve().parents[5] / "shared"))
from script_utils import check_result as _check
SKILL = "usd-convert-cad"
NEXT_STEP = "validate-usd-minimum"
KIT_APP_TEMPLATE_URL = "https://github.com/NVIDIA-Omniverse/kit-app-template"
KIT_APP_TEMPLATE_DOCS_URL = "https://docs.omniverse.nvidia.com/kit/docs/kit-app-template/latest/"
CAD_CONVERTER_DOCS_URL = "https://docs.omniverse.nvidia.com/kit/docs/omni.kit.converter.cad/latest/"
CAD_CONVERTER_SERVICE_DOCS_URL = "https://docs.omniverse.nvidia.com/kit/docs/omni.services.convert.cad/latest/Usage.html"
DEFAULT_KIT_APP_TEMPLATE_ROOT = Path("~/.kit-app-template")
KIT_CAD_CONVERTER_TOOL = "NVIDIA Kit App Template CAD Converter"
KIT_INSTALL_HINT = (
"Clone https://github.com/NVIDIA-Omniverse/kit-app-template to $HOME/.kit-app-template, "
"add the required CAD Converter extension to the app dependencies, then run "
"`./repo.sh template new` and `./repo.sh build --config release`. Set "
"KIT_APP_TEMPLATE_ROOT, KIT_APP_TEMPLATE_BUILD_DIR, or KIT_APP_TEMPLATE_KIT_EXECUTABLE "
"when using a non-default location."
)
USD_OUTPUT_SUFFIXES = {".usd", ".usda", ".usdc", ".usdz"}
CAD_CORE_BY_SUFFIX = {
".dgn": "dgn",
".jt": "jt",
}
CAD_CORE_EXTENSION = {
"dgn": "omni.kit.converter.dgn_core",
"hoops": "omni.kit.converter.hoops_core",
"jt": "omni.kit.converter.jt_core",
}
CAD_PROCESS_SCRIPT = {
"dgn": "dgn_main.py",
"hoops": "hoops_main.py",
"jt": "jt_main.py",
}
CAD_CORE_MODULE = {
"dgn": "omni.kit.converter.dgn_core",
"hoops": "omni.kit.converter.hoops_core",
"jt": "omni.kit.converter.jt_core",
}
FINE_TESSELLATION_CHORD = 0.001
FINE_TESSELLATION_ANGLE = 10.0
COARSE_TESSELLATION_CHORD = 0.1
COARSE_TESSELLATION_ANGLE = 45.0
def is_arm64_host() -> bool:
return platform.machine().lower() in {"aarch64", "arm64"}
def real_suffix(source_asset: Path) -> str:
suffix = source_asset.suffix.lower()
if suffix.lstrip(".").isdigit():
return Path(source_asset.stem).suffix.lower()
return suffix
def kit_supports_source(source_asset: Path) -> bool:
return True
def discover_generated_files(output_directory: Path) -> list[str]:
if not output_directory.exists():
return []
return sorted(
str(path.relative_to(output_directory))
for path in output_directory.rglob("*")
if path.is_file()
)
def _compact(value: str, limit: int = 4000) -> str:
value = value.strip()
if len(value) <= limit:
return value
return value[:limit] + "\n... truncated ..."
def _host_platform() -> str:
system = platform.system().lower()
machine = platform.machine().lower()
if machine in {"amd64", "x86_64"}:
arch = "x86_64"
elif machine in {"arm64", "aarch64"}:
arch = "aarch64"
else:
arch = machine
if system == "windows":
return f"windows-{arch}"
if system == "linux":
return f"linux-{arch}"
return f"{system}-{arch}"
def _resolve_path(value: str | Path | None, env_name: str) -> Path | None:
if value:
return Path(value).expanduser().resolve()
env_value = os.getenv(env_name)
if env_value:
return Path(env_value).expanduser().resolve()
return None
def _resolve_kit_root(kit_app_template_root: Path | None) -> Path:
explicit = _resolve_path(kit_app_template_root, "KIT_APP_TEMPLATE_ROOT")
if explicit is not None:
return explicit
return DEFAULT_KIT_APP_TEMPLATE_ROOT.expanduser().resolve()
def _resolve_build_dir(kit_build_dir: Path | None, kit_root: Path | None) -> Path | None:
explicit = _resolve_path(kit_build_dir, "KIT_APP_TEMPLATE_BUILD_DIR")
if explicit is not None:
return explicit
if kit_root is not None:
return (kit_root / "_build" / _host_platform() / "release").resolve()
return None
def _resolve_kit_executable(kit_executable: Path | None, kit_build_dir: Path | None) -> Path | None:
explicit = _resolve_path(kit_executable, "KIT_APP_TEMPLATE_KIT_EXECUTABLE")
if explicit is not None:
return explicit
explicit = _resolve_path(None, "KIT_EXECUTABLE")
if explicit is not None:
return explicit
if kit_build_dir is None:
return None
name = "kit.exe" if platform.system().lower() == "windows" else "kit"
return (kit_build_dir / "kit" / name).resolve()
def _resolve_service_extension_dir(
cad_service_extension_dir: Path | None,
kit_build_dir: Path | None,
) -> Path | None:
explicit = _resolve_path(cad_service_extension_dir, "KIT_CAD_SERVICE_EXTENSION_DIR")
if explicit is not None:
return explicit
if kit_build_dir is None:
return None
extension_cache = kit_build_dir / "extscache"
if not extension_cache.exists():
return None
candidates = sorted(
extension_cache.glob("omni.services.convert.cad-*"),
key=lambda path: path.stat().st_mtime if path.exists() else 0,
reverse=True,
)
return candidates[0].resolve() if candidates else None
def _cad_core_for_source(source_asset: Path) -> str:
return CAD_CORE_BY_SUFFIX.get(real_suffix(source_asset), "hoops")
def _process_script_path(service_extension_dir: Path | None, cad_core: str) -> Path | None:
if service_extension_dir is None:
return None
return (
service_extension_dir
/ "omni"
/ "services"
/ "convert"
/ "cad"
/ "services"
/ "process"
/ CAD_PROCESS_SCRIPT[cad_core]
).resolve()
def _quality_options(
*,
fine: bool,
coarse: bool,
tessellation_chord: float,
tessellation_angle: float,
) -> tuple[float, float]:
if fine:
return FINE_TESSELLATION_CHORD, FINE_TESSELLATION_ANGLE
if coarse:
return COARSE_TESSELLATION_CHORD, COARSE_TESSELLATION_ANGLE
return tessellation_chord, tessellation_angle
def _write_converter_config(
output_directory: Path,
source_asset: Path,
*,
fine: bool,
coarse: bool,
tessellation_chord: float,
tessellation_angle: float,
no_materials: bool,
single_mesh: bool,
no_meter_units: bool,
keep_hidden: bool,
) -> Path:
chord, angle = _quality_options(
fine=fine,
coarse=coarse,
tessellation_chord=tessellation_chord,
tessellation_angle=tessellation_angle,
)
options = {
"instancing": True,
"bOptimize": True,
"convertHidden": keep_hidden,
"dMetersPerUnit": 0.0 if no_meter_units else 1.0,
"iUpAxis": 2,
"dChordHeight": chord,
"dAngleTolerance": angle,
"importMaterials": not no_materials,
"singleMesh": single_mesh,
}
config_path = output_directory / f"{source_asset.stem}_cad_converter_options.json"
config_path.write_text(json.dumps(options, indent=2, sort_keys=True) + "\n", encoding="utf-8")
return config_path
def _write_core_runner_script(output_directory: Path, source_asset: Path) -> Path:
runner_path = output_directory / f"{source_asset.stem}_kit_cad_core_runner.py"
runner_path.write_text(
"""from __future__ import annotations
import argparse
import asyncio
import importlib
import inspect
import json
from pathlib import Path
import sys
import time
def _string_options(options: dict) -> dict[str, str]:
result = {}
for key, value in options.items():
if isinstance(value, bool):
result[key] = "true" if value else "false"
else:
result[key] = str(value)
return result
def _run_async(awaitable):
try:
loop = asyncio.get_event_loop()
except RuntimeError:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
return loop.run_until_complete(awaitable)
def _status_code(status):
for name in ("error_code", "code", "status", "result"):
if hasattr(status, name):
return getattr(status, name)
if isinstance(status, (tuple, list)) and status:
return status[0]
return None
def _status_text(status) -> str:
for name in ("error_message", "message", "details"):
if hasattr(status, name):
return str(getattr(status, name))
if isinstance(status, (tuple, list)) and len(status) >= 2:
return str(status[1])
return str(status)
def _result_success_and_message(result) -> tuple[bool, str]:
if isinstance(result, tuple) and len(result) >= 2:
primary, secondary = result[0], result[1]
if isinstance(primary, bool):
success = primary
elif isinstance(primary, int):
success = primary == 0
elif isinstance(primary, str):
success = bool(primary)
else:
success = bool(primary)
if not isinstance(secondary, str):
code = _status_code(secondary)
if isinstance(code, bool):
success = success and code
elif isinstance(code, int):
success = success and code == 0
return bool(success), _status_text(secondary)
return bool(result), str(result)
def _wait_for_instance(module):
converter = module.get_instance()
if converter is not None:
return converter
try:
import omni.kit.app
app = omni.kit.app.get_app()
except Exception:
app = None
for _ in range(60):
if app is not None:
app.update()
time.sleep(0.5)
converter = module.get_instance()
if converter is not None:
return converter
return None
def _convert_with_core_instance(module_name: str, input_path: Path, output_path: Path, options: dict) -> tuple[bool, str]:
module = importlib.import_module(module_name)
converter = _wait_for_instance(module)
if converter is None:
return False, f"{module_name}.get_instance() returned None"
string_options = _string_options(options)
try:
task = converter.create_converter_task(str(input_path), str(output_path), options)
except TypeError:
task = converter.create_converter_task(str(input_path), str(output_path), string_options)
if hasattr(task, "wait_until_finished"):
success = _run_async(task.wait_until_finished())
status = getattr(task, "get_status", lambda: "")()
return bool(success), str(status)
if inspect.isawaitable(task):
result = _run_async(task)
return _result_success_and_message(result)
return _result_success_and_message(task)
def _convert_with_hoops_function(input_path: Path, output_path: Path, options: dict) -> tuple[bool, str]:
import omni.converter.hoops as hoops
params = hoops.Parameters()
string_options = _string_options(options)
if hasattr(params, "parseArgs"):
params.parseArgs(string_options)
elif hasattr(params, "parse"):
params.parse(string_options)
result = hoops.convert(params, str(input_path), str(output_path), string_options)
return _result_success_and_message(result)
def main() -> int:
parser = argparse.ArgumentParser(description="Run direct Kit CAD core conversion.")
parser.add_argument("--core-module", required=True)
parser.add_argument("--input-path", required=True, type=Path)
parser.add_argument("--output-path", required=True, type=Path)
parser.add_argument("--config-path", required=True, type=Path)
args = parser.parse_args()
options = json.loads(args.config_path.read_text(encoding="utf-8"))
input_path = args.input_path.resolve()
output_path = args.output_path.resolve()
output_path.parent.mkdir(parents=True, exist_ok=True)
if args.core_module == "omni.kit.converter.hoops_core":
try:
success, message = _convert_with_hoops_function(input_path, output_path, options)
except Exception as first_error:
success, message = _convert_with_core_instance(args.core_module, input_path, output_path, options)
if not success:
message = f"hoops direct function failed: {first_error}; core instance failed: {message}"
else:
success, message = _convert_with_core_instance(args.core_module, input_path, output_path, options)
if not success:
print(message, file=sys.stderr)
return 1
if not output_path.exists():
print(f"converter reported success but did not write {output_path}", file=sys.stderr)
return 1
print(message)
return 0
if __name__ == "__main__":
raise SystemExit(main())
""",
encoding="utf-8",
)
return runner_path
def _kit_exec_payload(process_script: Path, source_asset: Path, output_usd_path: Path, config_path: Path) -> str:
return " ".join(
[
shlex.quote(str(process_script)),
"--input-path",
shlex.quote(str(source_asset)),
"--output-path",
shlex.quote(str(output_usd_path)),
"--config-path",
shlex.quote(str(config_path)),
]
)
def _core_exec_payload(runner_script: Path, cad_core: str, source_asset: Path, output_usd_path: Path, config_path: Path) -> str:
return " ".join(
[
shlex.quote(str(runner_script)),
"--core-module",
shlex.quote(CAD_CORE_MODULE[cad_core]),
"--input-path",
shlex.quote(str(source_asset)),
"--output-path",
shlex.quote(str(output_usd_path)),
"--config-path",
shlex.quote(str(config_path)),
]
)
def _core_command(
kit_executable: Path | None,
runner_script: Path | None,
source_asset: Path,
output_usd_path: Path,
config_path: Path | None,
cad_core: str,
) -> list[str]:
return [
str(kit_executable) if kit_executable else "<KIT_APP_TEMPLATE_BUILD_DIR>/kit/kit",
"--allow-root",
"--enable",
CAD_CORE_EXTENSION[cad_core],
"--/app/fastShutdown=1",
"--exec",
_core_exec_payload(
runner_script or Path("<generated-kit-cad-core-runner.py>"),
cad_core,
source_asset,
output_usd_path,
config_path or Path("<generated-cad-converter-options.json>"),
),
"--info",
]
def _service_command(
kit_executable: Path | None,
process_script: Path | None,
source_asset: Path,
output_usd_path: Path,
config_path: Path | None,
cad_core: str,
) -> list[str]:
return [
str(kit_executable) if kit_executable else "<KIT_APP_TEMPLATE_BUILD_DIR>/kit/kit",
"--allow-root",
"--enable",
CAD_CORE_EXTENSION[cad_core],
"--/app/fastShutdown=1",
"--exec",
_kit_exec_payload(
process_script or Path("<omni.services.convert.cad>/omni/services/convert/cad/services/process") / CAD_PROCESS_SCRIPT[cad_core],
source_asset,
output_usd_path,
config_path or Path("<generated-cad-converter-options.json>"),
),
"--info",
]
def _sidecar_inputs(*paths: Path | None) -> list[str]:
return [str(path) for path in paths if path is not None]
def probe_source(source_asset: Path) -> dict[str, Any]:
source_asset = source_asset.resolve()
return {
"source_asset_path": str(source_asset),
"source_format": "cad",
"converter_skill": SKILL,
"converter_tool": KIT_CAD_CONVERTER_TOOL,
"supported": True,
"sidecar_inputs": [],
"warnings": [
"Linux arm64 host detected; probing the Kit App Template CAD Converter fallback because upstream usd-convert-cad is not available for this architecture.",
f"Fallback does not maintain a local source-format allowlist; Kit App Template determines support at conversion time. Upstream Kit App Template: {KIT_APP_TEMPLATE_URL}.",
],
"errors": [],
"install_hint": KIT_INSTALL_HINT,
}
def check_dependencies(
*,
kit_app_template_root: Path | None = None,
kit_build_dir: Path | None = None,
kit_executable: Path | None = None,
cad_service_extension_dir: Path | None = None,
execution_mode: str = "core",
) -> dict[str, Any]:
kit_root = _resolve_kit_root(kit_app_template_root)
build_dir = _resolve_build_dir(kit_build_dir, kit_root)
resolved_kit_executable = _resolve_kit_executable(kit_executable, build_dir)
service_extension_dir = _resolve_service_extension_dir(cad_service_extension_dir, build_dir)
execution_mode = execution_mode.lower()
checks = [
_check("python_available", True, f"Python executable: {sys.executable}"),
_check("host_is_arm64", is_arm64_host(), f"Host architecture: {platform.machine()}"),
_check(
"kit_app_template_root_exists",
kit_root.exists() and ((kit_root / "repo.sh").exists() or (kit_root / "repo.bat").exists()),
f"Kit App Template root: {kit_root}",
),
_check(
"kit_app_template_build_dir_exists",
build_dir is not None and build_dir.exists(),
f"Kit App Template build directory: {build_dir or '<unresolved>'}",
),
_check(
"kit_executable_exists",
resolved_kit_executable is not None and resolved_kit_executable.exists(),
f"Kit executable: {resolved_kit_executable or '<unresolved>'}",
),
]
if execution_mode not in {"core", "service"}:
checks.append(_check("kit_cad_execution_mode_supported", False, f"Unsupported execution mode: {execution_mode}"))
if execution_mode == "service":
process_script = _process_script_path(service_extension_dir, "hoops")
checks.extend(
[
_check(
"cad_service_extension_dir_exists",
service_extension_dir is not None and service_extension_dir.exists(),
f"CAD service extension directory: {service_extension_dir or '<unresolved>'}",
),
_check(
"cad_service_process_script_exists",
process_script is not None and process_script.exists(),
f"CAD service HOOPS process script: {process_script or '<unresolved>'}",
),
]
)
errors = [check["message"] for check in checks if not check["passed"]]
payload = {
"skill": SKILL,
"passed": not errors,
"runtime": "kit-app-template-cad-arm64-fallback",
"checks": checks,
"errors": errors,
"upstream_repo": KIT_APP_TEMPLATE_URL,
"kit_app_template_root": str(kit_root),
"kit_build_dir": str(build_dir) if build_dir is not None else "",
"kit_executable": str(resolved_kit_executable) if resolved_kit_executable is not None else "",
}
if errors:
payload["install_hint"] = KIT_INSTALL_HINT
return payload
def convert_with_kit_app_template(
source_asset: Path,
output_directory: Path,
*,
kit_app_template_root: Path | None = None,
kit_build_dir: Path | None = None,
kit_executable: Path | None = None,
cad_service_extension_dir: Path | None = None,
config_path: Path | None = None,
output_extension: str = ".usd",
execution_mode: str = "core",
fine: bool = False,
coarse: bool = False,
tessellation_chord: float = 0.01,
tessellation_angle: float = 30.0,
no_materials: bool = False,
single_mesh: bool = False,
no_meter_units: bool = False,
keep_hidden: bool = False,
timeout: int = 1800,
) -> dict[str, Any]:
source_asset = source_asset.resolve()
output_directory = output_directory.resolve()
output_extension = output_extension if output_extension.startswith(".") else f".{output_extension}"
output_usd_path = output_directory / f"{source_asset.stem}{output_extension}"
source_format = "cad"
kit_root = _resolve_kit_root(kit_app_template_root)
build_dir = _resolve_build_dir(kit_build_dir, kit_root)
resolved_kit_executable = _resolve_kit_executable(kit_executable, build_dir)
service_extension_dir = _resolve_service_extension_dir(cad_service_extension_dir, build_dir)
cad_core = _cad_core_for_source(source_asset)
execution_mode = execution_mode.lower()
process_script = _process_script_path(service_extension_dir, cad_core) if execution_mode == "service" else None
warnings = [
"Linux arm64 host detected; using Kit App Template CAD Converter fallback because upstream usd-convert-cad is not available for this architecture.",
f"Fallback runtime: {KIT_CAD_CONVERTER_TOOL}; upstream Kit App Template: {KIT_APP_TEMPLATE_URL}.",
f"CAD Converter extension docs: {CAD_CONVERTER_DOCS_URL}.",
"Default execution uses direct CAD core extension APIs, not the CAD service extension.",
f"CAD Converter service CLI docs for optional service mode: {CAD_CONVERTER_SERVICE_DOCS_URL}.",
]
errors: list[str] = []
if not source_asset.exists():
errors.append(f"source asset does not exist: {source_asset}")
if output_extension.lower() not in USD_OUTPUT_SUFFIXES:
errors.append(f"unsupported USD output extension: {output_extension}")
if fine and coarse:
errors.append("--fine and --coarse are mutually exclusive")
if execution_mode not in {"core", "service"}:
errors.append(f"unsupported CAD execution mode: {execution_mode}. Use core or service.")
if not kit_root.exists() or not ((kit_root / "repo.sh").exists() or (kit_root / "repo.bat").exists()):
errors.append(f"Kit App Template checkout was not found or is incomplete: {kit_root}")
if build_dir is not None and not build_dir.exists() and resolved_kit_executable is None:
dependency_hint = (
"omni.services.convert.cad and the CAD core extensions"
if execution_mode == "service"
else f"{CAD_CORE_EXTENSION[cad_core]} or the bundled omni.kit.converter.cad extension"
)
errors.append(
f"Kit App Template build directory was not found: {build_dir}. Run the upstream build flow from "
f"{KIT_APP_TEMPLATE_URL} and include {dependency_hint} in the app dependencies."
)
if resolved_kit_executable is None or not resolved_kit_executable.exists():
errors.append(
"Kit executable was not found. Set --kit-executable, KIT_APP_TEMPLATE_KIT_EXECUTABLE, "
"KIT_EXECUTABLE, or build Kit App Template so _build/<platform>/release/kit/kit exists."
)
if execution_mode == "service" and (service_extension_dir is None or not service_extension_dir.exists()):
errors.append(
"omni.services.convert.cad extension cache was not found. Add omni.services.convert.cad to the "
"Kit App Template app dependencies and build/precache the app, or set --cad-service-extension-dir."
)
if execution_mode == "service" and (process_script is None or not process_script.exists()):
errors.append(
f"CAD service process script for {cad_core} conversion was not found: "
f"{process_script or '<unresolved>'}"
)
effective_config_path = config_path.resolve() if config_path else None
if effective_config_path is not None and not effective_config_path.exists():
errors.append(f"CAD converter config path does not exist: {effective_config_path}")
runner_script = None
command = (
_service_command(
resolved_kit_executable,
process_script,
source_asset,
output_usd_path,
effective_config_path,
cad_core,
)
if execution_mode == "service"
else _core_command(
resolved_kit_executable,
runner_script,
source_asset,
output_usd_path,
effective_config_path,
cad_core,
)
)
if errors:
return {
"source_asset_path": str(source_asset),
"source_format": source_format,
"converter_skill": SKILL,
"converter_tool": KIT_CAD_CONVERTER_TOOL,
"converter_command": command,
"output_directory": str(output_directory),
"output_usd_path": "",
"generated_files": [],
"sidecar_inputs": _sidecar_inputs(kit_root, build_dir, resolved_kit_executable, service_extension_dir, effective_config_path),
"warnings": warnings,
"errors": errors,
"install_hint": KIT_INSTALL_HINT,
"next_step": NEXT_STEP,
}
output_directory.mkdir(parents=True, exist_ok=True)
if effective_config_path is None:
effective_config_path = _write_converter_config(
output_directory,
source_asset,
fine=fine,
coarse=coarse,
tessellation_chord=tessellation_chord,
tessellation_angle=tessellation_angle,
no_materials=no_materials,
single_mesh=single_mesh,
no_meter_units=no_meter_units,
keep_hidden=keep_hidden,
)
if execution_mode == "core":
runner_script = _write_core_runner_script(output_directory, source_asset)
command = _core_command(
resolved_kit_executable,
runner_script,
source_asset,
output_usd_path,
effective_config_path,
cad_core,
)
else:
command = _service_command(
resolved_kit_executable,
process_script,
source_asset,
output_usd_path,
effective_config_path,
cad_core,
)
env = os.environ.copy()
env.setdefault("ACCEPT_EULA", "Y")
env.setdefault("OMNI_KIT_ACCEPT_EULA", "yes")
completed = subprocess.run(
command,
cwd=str(build_dir or resolved_kit_executable.parent),
env=env,
capture_output=True,
text=True,
timeout=timeout,
check=False,
)
if completed.returncode != 0:
detail = completed.stderr.strip() or completed.stdout.strip()
if not detail:
detail = f"Kit App Template CAD conversion exited with {completed.returncode}"
errors.append(_compact(detail))
if completed.stdout.strip() and completed.returncode == 0:
warnings.append(_compact(completed.stdout))
if completed.stderr.strip() and completed.returncode == 0:
warnings.append(_compact(completed.stderr))
if not output_usd_path.exists():
errors.append(f"converter did not produce expected USD output: {output_usd_path}")
return {
"source_asset_path": str(source_asset),
"source_format": source_format,
"converter_skill": SKILL,
"converter_tool": KIT_CAD_CONVERTER_TOOL,
"converter_command": command,
"output_directory": str(output_directory),
"output_usd_path": str(output_usd_path) if output_usd_path.exists() else "",
"generated_files": discover_generated_files(output_directory),
"sidecar_inputs": _sidecar_inputs(
kit_root,
build_dir,
resolved_kit_executable,
service_extension_dir,
effective_config_path,
runner_script,
),
"warnings": warnings,
"errors": errors,
"install_hint": KIT_INSTALL_HINT if errors else "",
"next_step": NEXT_STEP,
}
Requirements and compatibility
Written for: OpenAI Codex
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: Needs an API key, Needs Python
The author says: Orchestrator skill. Managed Content Agents deployment requires NVIDIA_API_KEY (build.nvidia.com), Docker + NVIDIA Container Toolkit + GPU, Python 3.12, and an upstream checkout of nvidia-omniverse/content-agents on branch main. 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.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Omniverse
- Publisher
- OpenAI (Official)
- Distributed by
- OpenAI
- Source
- openai/plugins · plugins/nvidia/skills/omniverse-cad-to-simready · commit d420d13
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (written by AutoGineer)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Omniverse or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download omniverse-cad-to-simready.zip