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Agent skill
Rtdt Customize
by NVIDIA-Omniverse-blueprints in 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.
Install Rtdt Customize
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-customize -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-customize --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/core/rtdt-customize .claude/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .claude/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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/core/rtdt-customizeType 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-customize -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-customize --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/core/rtdt-customize .agents/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .agents/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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-customize -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-customize --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/core/rtdt-customize .cursor/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .cursor/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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/core/rtdt-customize--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-customize -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-customize --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/core/rtdt-customize .gemini/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .gemini/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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-customizeInstalls 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-customize -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/core/rtdt-customize .github/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .github/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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-customize -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-customize --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/core/rtdt-customize .opencode/skills/rtdt-customize && 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-customize" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-customize into .opencode/skills/rtdt-customize/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-customize", 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-customize- GitHub stars
- 140
- Token cost
- ~1.2k tokens
- SKILL.md length
- 499 words
- Files
- 4 (incl. references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Customize an RTDT workflow, AppState schema, USD stage, frontend control, or Kit-CAE 3.0 geometry/result wiring.
- Works in 8 steps: Read the current schema, workflow.toml,… → Add or update the AppState attribute.… → Add or update [controls.]. Keep the… → …
- Changing controls
- SKILL.md covers Classify the change, Authoring loop, Bring-your-own geometry and Output-field checklist, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Rtdt Customize is an agent skill from 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. Use when adding or changing controls, variants, bindings, output fields, visualization selections, or bring-your-own geometry. Read rtdt-core first; use rtdt-aero as the specialization-specific companion for the shipped wind tunnel.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/geometry-and-inference.md`, `references/manifest-reference.md` and `references/schema-regeneration.md`).
It sits in Frontend & Design. 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 controls
- Visualization selections
- Bring-your-own geometry
Example prompts
- “/rtdt-customize”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Read the current schema, workflow.toml, stage, and frontend together.
- Add or update the AppState attribute. Preserve its USD type, allowedTokens, and authored default;
- Add or update [controls.]. Keep the control ID equal to the schema attribute short key.
- Author only binding kinds implemented by the controller. Use
- Author the stage-side target: variant set, attribute, relationship, material, callback write, or
- For a visible control, update trame-app/app.py. The current UI does not generate widgets from
- Validate the manifest/schema. Add a composed stage when checking targets, variants, outputs, or
- Run the smallest relevant unit/static checks, then use the appropriate Compose profile for
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 Customize loads about 1.2k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 499 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 499 words (~1,244 tokens).
“Read rtdt-core before using this skill. Most workflow changes span four surfaces: typed AppState schema, workflow manifest, USD stage, and the hand-built Trame frontend. Changing only one surface is usually incomplete.”
- name
- rtdt-customize
Files
SKILL.md and 3 other files (references) in skills/core/rtdt-customize of NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.
- SKILL.md
- references/geometry-and-inference.md
- references/manifest-reference.md
- references/schema-regeneration.md
Open the folder on GitHubat commit 6261054
Compare with similar skills
Rtdt Customize 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 Customize this skillNVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation | 140 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 61k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| Impeccablebestofjs/bestofjs | 3.1k | 26 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Figma Design System Builderwarpdotdev/warp | 65k | 2 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Web Interface Guidelines Reviewervercel-labs/openreview | 1.7k | 97 repos | ~308 | Automated safety check: Pass | None |
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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 Aero
NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation
Apply RTDT customization specifically to the shipped auto-aero virtual wind tunnel.
Related
Categories
Questions about Rtdt Customize
What does Rtdt Customize do?
Customize an RTDT workflow, AppState schema, USD stage, frontend control, or Kit-CAE 3.0 geometry/result wiring. Rtdt Customize is an agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.0 geometry/result wiring.
When should I use Rtdt Customize?
Rtdt Customize fits situations like: changing controls; visualization selections; bring-your-own geometry.
How do I install Rtdt Customize in Claude Code?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-customize -a claude-code`. Or copy the skill folder (skills/core/rtdt-customize in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .claude/skills/rtdt-customize in your project. Claude Code loads it when a task matches its description.
How do I install Rtdt Customize in Codex?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-customize -a codex`. Or copy the skill folder (skills/core/rtdt-customize in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .agents/skills/rtdt-customize in your project. Codex loads it when a task matches its description.
Can I use Rtdt Customize 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-customize -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-customize, .gemini/skills/rtdt-customize, .github/skills/rtdt-customize and .opencode/skills/rtdt-customize in your project.
What does Rtdt Customize need to run?
SKILL.md names no scripts, command-line tools or credentials: Rtdt Customize is instructions for the agent only.
Does Rtdt Customize 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 Customize 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 Customize use?
Rtdt Customize 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 Customize use?
About 1.2k tokens (SKILL.md is roughly 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 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Rtdt Customize?
Skills that share tags, products or a category with Rtdt Customize: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rtdt Customize?
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.