Astropy
zLanqing/codex-claude-academic-skills
Comprehensive Python library for astronomy and astrophysics.
Agent skill
Rtdt Aero
by NVIDIA-Omniverse-blueprints in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation
Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel.
Install Rtdt Aero
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aero --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .claude/skills/rtdt-aero && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .claude/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aeroType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aero --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .agents/skills/rtdt-aero && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .agents/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aero --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .cursor/skills/rtdt-aero && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .cursor/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git --path skills/auto-aero/rtdt-aero--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aero --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .gemini/skills/rtdt-aero && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .gemini/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aeroInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .github/skills/rtdt-aero && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .github/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-aero --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/auto-aero/rtdt-aero .opencode/skills/rtdt-aero && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "rtdt-aero" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/auto-aero/rtdt-aero into .opencode/skills/rtdt-aero/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-aero", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
rtdt-aero- GitHub stars
- 140
- Token cost
- ~1.9k tokens
- SKILL.md length
- 803 words
- Files
- 2 (incl. references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel.
- Works in 6 steps: Add the typed token/default to the… → Add matching variant sets to the hero… → In CarCFD.usda, keep the outer… → …
- Changing car CFD geometry variants
- SKILL.md covers File map, Change a car geometry axis, Change an output or… and Cache consequences, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Rtdt Aero is an agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation. Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel. Use when changing car CFD geometry variants, wind-tunnel controls, output fields, Kit-CAE 3.0 visualization, lite cache coverage, or the fixed comparison result sets. Read rtdt-core and rtdt-customize first.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/geometry-recipe.md`).
It sits in Research & Science, covering Physical and earth sciences. The repository describes itself as: Reference implementation of real-time AI Physics in an interactive visualization and analysis workflow, applied to CFD and aerodynamics.
When your agent uses it
- Changing car CFD geometry variants
- Wind-tunnel controls
- Kit-CAE 3.0 visualization
- Lite cache coverage
Example prompts
- “/rtdt-aero”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Add the typed token/default to the correct AppState schema and regenerate the schema.
- Add matching variant sets to the hero and CFD compositions as needed.
- In CarCFD.usda, keep the outer OmniSciDataset with
- Add the manifest control and Variant bindings. Keep the control ID equal to the schema short
- Author the AppState default, bridged state key, and frontend widget. Keep that default aligned in
- Validate schema/manifest/stage wiring and run live inference in the standard profile.
What it can do on your machine
Read from SKILL.md and the folder at commit 6261054. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Rtdt Aero loads about 1.9k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 803 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 803 words (~1,878 tokens).
“Read rtdt-core and rtdt-customize first. This skill maps their contracts onto the shipped specialization.”
- name
- rtdt-aero
Files
SKILL.md and 1 other file (references) in skills/auto-aero/rtdt-aero of NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.
- SKILL.md
- references/geometry-recipe.md
Open the folder on GitHubat commit 6261054
Compare with similar skills
Rtdt Aero next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Rtdt Aero this skillNVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation | 140 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| AstropyzLanqing/codex-claude-academic-skills | 4.7k | 13 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause | |
| PymatgenzLanqing/codex-claude-academic-skills | 4.7k | 11 repos | ~5k | Automated safety check: Pass | MIT | |
| Cantera Ignition DelayK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Weathertrpc-group/trpc-agent-go | 1.9k | 8 repos | ~591 | Automated safety check: Pass | Apache-2.0 | |
| Pymol VisualizationChatMol/ChatMol | 373 | — | ~1.2k | Automated safety check: Pass | MIT |
Similar skills
Pymatgen
zLanqing/codex-claude-academic-skills
Materials science toolkit. An agent skill from zLanqing/codex-claude-academic-skills.
Cantera Ignition Delay
K-Dense-AI/scientific-agent-skills
Runs Cantera constant-volume or constant-pressure ignition simulations and reports temperature-based ignition delay with mechanism provenance and checks.
Weather
trpc-group/trpc-agent-go
Get current weather and forecasts via wttr.in or Open-Meteo.
Pymol Visualization
ChatMol/ChatMol
Generate publication-quality molecular visualization images using PyMOL.
Review
Muuuun/luxas
Write domain-authentic review articles that synthesize rather than stack.
More from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation
Rtdt Core
NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation
Shared foundation for Real-Time Digital Twins (RTDT) work. An agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.
Rtdt Customize
NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation
Customize an RTDT workflow, AppState schema, USD stage, frontend control, or Kit-CAE 3.0 geometry/result wiring.
Related
Categories
Questions about Rtdt Aero
What does Rtdt Aero do?
Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel. Rtdt Aero is an agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation. Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel.
When should I use Rtdt Aero?
Rtdt Aero fits situations like: changing car CFD geometry variants; wind-tunnel controls; kit-CAE 3.0 visualization; lite cache coverage.
How do I install Rtdt Aero in Claude Code?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a claude-code`. Or copy the skill folder (skills/auto-aero/rtdt-aero in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .claude/skills/rtdt-aero in your project. Claude Code loads it when a task matches its description.
How do I install Rtdt Aero in Codex?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a codex`. Or copy the skill folder (skills/auto-aero/rtdt-aero in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .agents/skills/rtdt-aero in your project. Codex loads it when a task matches its description.
Can I use Rtdt Aero in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-aero -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rtdt-aero, .gemini/skills/rtdt-aero, .github/skills/rtdt-aero and .opencode/skills/rtdt-aero in your project.
What does Rtdt Aero need to run?
SKILL.md names no scripts, command-line tools or credentials: Rtdt Aero is instructions for the agent only. Our summary lists: Python 3.
Does Rtdt Aero access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Rtdt Aero safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Rtdt Aero use?
Rtdt Aero has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Rtdt Aero use?
About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Rtdt Aero?
Skills that share tags, products or a category with Rtdt Aero: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rtdt Aero?
NVIDIA-Omniverse-blueprints (a GitHub organization) maintains it in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation, which has 140 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 19, 2026.
Source: NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.