Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Agent skill
Rtdt Core
by NVIDIA-Omniverse-blueprints in 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.
Install Rtdt Core
$ npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-core -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-core --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-core .claude/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .claude/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-coreType 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-core -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-core --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-core .agents/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .agents/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-core -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation rtdt-core --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-core .cursor/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .cursor/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-core--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-core -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-core --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-core .gemini/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .gemini/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-coreInstalls 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-core -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-core .github/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .github/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-core -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-core --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-core .opencode/skills/rtdt-core && 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-core" agent skill from https://github.com/NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation/tree/main/skills/core/rtdt-core into .opencode/skills/rtdt-core/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "rtdt-core", 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-core- GitHub stars
- 140
- Token cost
- ~1.7k tokens
- SKILL.md length
- 841 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Shared foundation for Real-Time Digital Twins (RTDT) work. An agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.
- Works in 3 steps: Read docker compose logs kit-lite (or… → Keep the browser open through… → Change velocity and visualization mode;…
- Health-checking the standard
- SKILL.md covers Choose the execution mode, Start, stop, and check the…, Execution rules and Current contracts, plus 1 more section
- Runs Shell scripts from its folder; calls docker; needs NGC_API_KEY
What it does
Rtdt Core is an agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation. Shared foundation for Real-Time Digital Twins (RTDT) work. Use when starting or health-checking the standard or lite streaming stack, deciding whether a task needs a built Kit application, or reasoning about the current control and inference contracts. Read this before using rtdt-customize or rtdt-aero.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/contracts.md` and `scripts/check_readiness.sh`).
It sits in DevOps & Cloud. It works with Docker. 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
- Health-checking the standard
- Lite streaming stack
- Deciding whether a task needs a built Kit application
- Reasoning about the current control and inference contracts
Example prompts
- “/rtdt-core”
Requirements
- Python 3
- A Bash shell
- Docker
- A credential in NGC_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Read docker compose logs kit-lite (or kit for standard). app ready can precede
- Keep the browser open through initialization. Confirm the scene appears and the loading message
- Change velocity and visualization mode; verify the rendered result changes, not just the selected
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
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
NGC_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Rtdt Core loads about 1.7k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 841 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:29
to `.env`, and select exactly one profile; `standard` and `lite` cannot run together because they - NoteMentions a .env fileSKILL.md:34
Treat `.env` as secret-bearing. Do not print the fully resolved Compose model with - NoteMentions a .env fileSKILL.md:65
The preflight does not parse `.env`. When `.env` changes the published web or proxy port, pass the
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); the scripts in this folder 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 841 words (~1,735 tokens).
“Use this skill as the operational and contract foundation for RTDT work. The repository combines a workflow/controller layer, a specialization, USD stages, a browser UI, Kit-CAE 3.0 visualization, and either live Triton inference (standard) or an offline result cache (lite)…”
- name
- rtdt-core
Files
SKILL.md and 2 other files (scripts, references) in skills/core/rtdt-core of NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation.
- SKILL.md
- references/contracts.md
- scripts/check_readiness.sh
Open the folder on GitHubat commit 6261054
Compare with similar skills
Rtdt Core 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 Core this skillNVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation | 140 | — | ~1.7k | Automated safety check: Notes | Custom licence | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 260 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 16k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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More 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.
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
Works with
Categories
Questions about Rtdt Core
What does Rtdt Core do?
Shared foundation for Real-Time Digital Twins (RTDT) work. An agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation. Rtdt Core is an agent skill from NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation. Shared foundation for Real-Time Digital Twins (RTDT) work.
When should I use Rtdt Core?
Rtdt Core fits situations like: health-checking the standard; lite streaming stack; deciding whether a task needs a built Kit application; reasoning about the current control and inference contracts.
How do I install Rtdt Core in Claude Code?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-core -a claude-code`. Or copy the skill folder (skills/core/rtdt-core in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .claude/skills/rtdt-core in your project. Claude Code loads it when a task matches its description.
How do I install Rtdt Core in Codex?
Run `npx skills add NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation --skill rtdt-core -a codex`. Or copy the skill folder (skills/core/rtdt-core in NVIDIA-Omniverse-blueprints/digital-twins-for-fluid-simulation) into .agents/skills/rtdt-core in your project. Codex loads it when a task matches its description.
Can I use Rtdt Core 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-core -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-core, .gemini/skills/rtdt-core, .github/skills/rtdt-core and .opencode/skills/rtdt-core in your project.
What does Rtdt Core need to run?
Going by SKILL.md and its folder, Rtdt Core needs a shell for the scripts in its folder, the command-line tools its instructions call (docker) and credentials named NGC_API_KEY. Our summary lists: Python 3; A Bash shell; Docker; A credential in NGC_API_KEY.
Does Rtdt Core access the network?
SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Rtdt Core safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Rtdt Core use?
Rtdt Core 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 Core use?
About 1.7k tokens (SKILL.md is roughly 6.9k 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 1.7k tokens, read only when the agent opens those files.
What are the alternatives to Rtdt Core?
Skills that share tags, products or a category with Rtdt Core: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Rtdt Core?
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.