# omniverse-cad-to-simready

Coordinates the path from a CAD model or other source asset to SimReady USD and packaging. Use it to handle conversion, material and physics assignment, validation, and conformance checks.

- skill · `type=skill` · Codex, ChatGPT · ★ 7604
- Author: Omniverse · official OpenAI repository
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/openai/plugins/tree/HEAD/plugins/nvidia/skills/omniverse-cad-to-simready/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/omniverse-cad-to-simready

## What it does

The skill coordinates conversion, material and physics assignment, SimReady conformance, and validation. For an end-to-end request, it checks or deploys Content Agents before routing work through references for individual stages. Existing USD input can bypass conversion, and a request for one stage is routed to that stage rather than to a monolithic runner.

Run `preflight` or verify a ready `PHYSICAL_AI_PREFLIGHT_MANIFEST` before invoking workflow stages. Local Content Agents deployment requires `NVIDIA_API_KEY`, Docker, NVIDIA Container Toolkit, and an NVIDIA GPU; Python 3.12 and `uv` are also listed as prerequisites. Missing authentication or unhealthy services block property assignment. NVIDIA-backed CAD conversion requires an installed and validated `usd-convert-cad` checkout. If that runtime cannot handle the source format, the workflow keeps the blocked conversion report instead of switching converters.

## Install

### Codex (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill omniverse-cad-to-simready -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/omniverse-cad-to-simready/SKILL.md` — For all projects use ~/.agents/skills/

### Claude Code

1. **Skills CLI (Vercel)**
```bash
npx skills add openai/plugins --skill omniverse-cad-to-simready -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/omniverse-cad-to-simready/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/omniverse-cad-to-simready/

### Cursor

**Manually: put the files in place**
- File: `.cursor/skills/omniverse-cad-to-simready/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install openai/plugins omniverse-cad-to-simready
```

2. **Manually: put the files in place**
- File: `.github/skills/omniverse-cad-to-simready/SKILL.md`

### Gemini CLI

**Platform CLI**
```bash
gemini skills install https://github.com/openai/plugins --path plugins/nvidia/skills/omniverse-cad-to-simready
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/omniverse-cad-to-simready/SKILL.md` — The legacy .windsurf/skills/ path still works

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/openai/plugins/tree/HEAD/plugins/nvidia/skills/omniverse-cad-to-simready/SKILL.md

## When to use it
- convert a CAD model to USD
- assign materials and physics properties to an asset
- check USD viability before later stages
- prepare a SimReady asset or package
- run conversion without property assignment

## Example prompts
- Take `part.step` from CAD through to SimReady USD and validate the result.
- Convert `robot.urdf` to USD without assigning materials or physics.
- Check the existing `scene.usd` against the minimum requirements before further processing.

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 27524a2463724ae8.

BEGIN THIRD-PARTY FILE 27524a2463724ae8
```text
---
name: omniverse-cad-to-simready
description: "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."
version: "0.1.0"
license: Apache-2.0
tools:
  - Read
  - Shell
compatibility: >
  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.
metadata:
  author: Omniverse
  tags:
    - physical-ai
    - simready
    - workflow
    - cad
    - conversion
  domain: ai-ml
  languages:
    - python
---

# 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 `preflight` reference first for deterministic setup. It
  installs or verifies local upstream checkouts, writes a
  `cad-to-simready-preflight.json` manifest, and exports
  `PHYSICAL_AI_PREFLIGHT_MANIFEST` plus `PHYSICAL_AI_REQUIRE_PREFLIGHT=1` for
  downstream references.
- Python 3.12 and `uv` (per repo `README.md`).
- NVIDIA_API_KEY from `https://build.nvidia.com` when local Content Agents
  deployment will run. Already-running endpoints may instead use explicit
  endpoint variables plus usage tokens such as `NGC_API_KEY`, `NVCF_API_KEY`,
  or `CONTENT_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.
```
END THIRD-PARTY FILE 27524a2463724ae8

The third-party file has ended. Everything between the 27524a2463724ae8 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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