Init GPU Server
drawthingsai/draw-things-community
Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.
Build Holoscan SDK from source via the in-tree ./run script.
$ npx skills add NVIDIA/skills --skill holoscan-install-source -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills holoscan-install-source --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/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holoscan-install-source .claude/skills/holoscan-install-source && 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 "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .claude/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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/skills/tree/main/skills/holoscan-install-sourceType 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/skills --skill holoscan-install-source -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills holoscan-install-source --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/holoscan-install-source .agents/skills/holoscan-install-source && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .agents/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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/skills --skill holoscan-install-source -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills holoscan-install-source --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/holoscan-install-source .cursor/skills/holoscan-install-source && 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 "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .cursor/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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/skills.git --path skills/holoscan-install-source--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/skills --skill holoscan-install-source -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills holoscan-install-source --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/holoscan-install-source .gemini/skills/holoscan-install-source && 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 "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .gemini/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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/skills holoscan-install-sourceInstalls 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/skills --skill holoscan-install-source -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/holoscan-install-source .github/skills/holoscan-install-source && 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 "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .github/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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/skills --skill holoscan-install-source -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/skills holoscan-install-source --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/holoscan-install-source .opencode/skills/holoscan-install-source && 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 "holoscan-install-source" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source into .opencode/skills/holoscan-install-source/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-source", 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.
holoscan-install-sourceBuild Holoscan SDK from source via the in-tree ./run script.
Holoscan Install Source is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).
It sits in DevOps & Cloud. It works with NVIDIA AI Platform, CUDA, Docker and C++. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
apt-getgitdockercurlaptFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
nvidia.github.iodocs.nvidia.comgithub.comAlso links to:
docs.docker.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Holoscan Install Source loads about 1.5k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 531 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
a.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg| sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.listsudo apt-get update && sudo apt-get install -y nvidia-container-toolkitsudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart docker- If Docker buildx is missing: `sudo apt-get install docker-buildx-plugin`rch64` | Cross-compile for ARM64 (needs `sudo apt install qemu-user-static`) || Docker buildx not found | `sudo apt-get install docker-buildx-plugin` |ify NVIDIA Container Toolkit and re-run `sudo nvidia-ctk runtime configure --runtime=docker` |compile fails (aarch64) | Install qemu: `sudo apt-get install qemu-user-static` |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.
The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 531 words, ~1,530 tokens.
.claude/skills/holoscan-install-source/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Build the Holoscan SDK from the nvidia-holoscan/holoscan-sdk source tree using its ./run script (which builds inside a Docker container), producing a local install tree consumable as a CMake dependency.
nvidia-smi).git, Docker with NVIDIA Container Toolkit (docker run --gpus all works), and docker-buildx-plugin../run script builds inside a container; this is not a true bare-metal build.qemu-user-static on the host.Always fetch the "Build from Source" section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html (and the linked GitHub README.md / DEVELOP.md for the chosen tag) before building. Extract: required ./run flags for the target architecture and CUDA major, supported branches/tags, any Dockerfile patches called out for the release, and the test names recommended for verification. If the doc disagrees with anything below, the doc wins.
Check that git and Docker (with GPU passthrough) are available:
git --version
docker --version
docker run --rm --gpus all ubuntu:22.04 nvidia-smicurl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
| sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
| sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
sudo nvidia-ctk runtime configure --runtime=docker && sudo systemctl restart dockersudo apt-get install docker-buildx-pluginClone repo to ~/holoscan/holoscan-sdk if needed
mkdir -p ~/holoscan/
git clone https://github.com/nvidia-holoscan/holoscan-sdk.git
cd ~/holoscan/holoscan-sdkTo build a specific release tag (recommended for stability):
git tag | grep -E '^v[0-9]' | sort -V | tail -5 # list recent tags
git checkout v<VERSION> # e.g. v4.1.0The ./run build script handles container creation, CMake configuration, compilation, and install in one step. Warn the user this takes 10–30 minutes on first run (downloads base image + compiles).
./run buildCommon options:
| Flag | Purpose |
|---|---|
--type debug | Debug build (symbols, no optimization) |
--type RelWithDebInfo | Release + debug symbols |
--arch aarch64 | Cross-compile for ARM64 (needs sudo apt install qemu-user-static) |
--gpu igpu | iGPU build for Jetson/IGX |
--dryrun | Preview commands without executing |
If CMake cache errors occur after changing options:
./run clear_cache && ./run buildOutput lands in these folders, and can be retrieved with ./run get_build_dir and ./run get_install_dir
build-cu<N>-<arch>/install-cu<N>-<arch>/.Run the following tests
./run testTo run all six required tests at once, use a single-quoted regex (the | must be quoted to prevent bash from treating it as a pipe):
./run test --options "-R 'EXAMPLE_CPP_HELLO_WORLD_TEST|EXAMPLE_PYTHON_HELLO_WORLD_TEST|EXAMPLE_CPP_TENSOR_INTEROP_TEST|EXAMPLE_PYTHON_TENSOR_INTEROP_TEST|EXAMPLE_CPP_VIDEO_REPLAYER_TEST|EXAMPLE_PYTHON_VIDEO_REPLAYER_TEST' --output-on-failure"Run a specific test by name or regex:
./run test --name <test_name>
./run test --options "-R '<regex>' --output-on-failure"
./run test --verboseImportant: Always single-quote the regex string when it contains | — without quotes, bash interprets | as a pipe and the command fails with command not found.
Expected: all tests pass. Note any failures and report them to the user before continuing.
Once built, applications can use the install tree as a CMake dependency. Give the user this path:
/path/to/holoscan-sdk/install-cu<N>-<arch>/They can set Holoscan_ROOT or CMAKE_PREFIX_PATH to this directory when building their own applications.
| Symptom | Fix |
|---|---|
bash: <TEST_NAME>: command not found when running tests | The regex contains | — wrap it in single quotes: --options "-R '<regex>'" |
| CMake cache errors after option change | ./run clear_cache && ./run build |
| Docker buildx not found | sudo apt-get install docker-buildx-plugin |
| GPU not visible inside build container | Verify NVIDIA Container Toolkit and re-run sudo nvidia-ctk runtime configure --runtime=docker |
| Cross-compile fails (aarch64) | Install qemu: sudo apt-get install qemu-user-static |
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files in skills/holoscan-install-source of NVIDIA/skills.
Open the folder on GitHubat commit 67a13c0
Holoscan Install Source 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 |
|---|---|---|---|---|---|---|
| Holoscan Install Source this skillNVIDIA/skills | 3.5k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Init GPU Serverdrawthingsai/draw-things-community | 580 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Vllm Deploy Dockervllm-project/vllm-skills | 103 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Cosmos3 Env TroubleshootNVIDIA/cosmos-framework | 558 | — | ~1.3k | Automated safety check: Notes | Custom licence | |
| Generate Nemo Gym Envadithya-s-k/FineEnvs | 443 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Setup Workshopbrevdev/workshop-build-an-agent | 144 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 |
drawthingsai/draw-things-community
Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.
vllm-project/vllm-skills
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
NVIDIA/cosmos-framework
Diagnose and fix Cosmos3 environment, installation, and runtime errors.
adithya-s-k/FineEnvs
Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.
brevdev/workshop-build-an-agent
This skill should be used when the user wants to set up, install, deploy, bootstrap, or "spin up" the Build-an-Agent workshop (a.k.a.
dstackai/dstack
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Works with
Categories
Build Holoscan SDK from source via the in-tree ./run script. Holoscan Install Source is an agent skill from NVIDIA/skills, published by the product's own GitHub organization./run script.
Holoscan Install Source fits situations like: devOps & Cloud work in your project.
Run `npx skills add NVIDIA/skills --skill holoscan-install-source -a claude-code`. Or copy the skill folder (skills/holoscan-install-source in NVIDIA/skills) into .claude/skills/holoscan-install-source in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill holoscan-install-source -a codex`. Or copy the skill folder (skills/holoscan-install-source in NVIDIA/skills) into .agents/skills/holoscan-install-source in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill holoscan-install-source -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/holoscan-install-source, .gemini/skills/holoscan-install-source, .github/skills/holoscan-install-source and .opencode/skills/holoscan-install-source in your project.
Going by SKILL.md and its folder, Holoscan Install Source needs the command-line tools its instructions call (apt-get, git, docker, curl and apt). Our summary lists: Docker.
SKILL.md names 4 domains. In commands or code: nvidia.github.io, docs.nvidia.com and github.com; the agent is likely to contact these when it follows the instructions. As links in the text: docs.docker.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Holoscan Install Source is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Holoscan Install Source: Init GPU Server (drawthingsai/draw-things-community, 580 stars), Vllm Deploy Docker (vllm-project/vllm-skills, 103 stars), Cosmos3 Env Troubleshoot (NVIDIA/cosmos-framework, 558 stars) and Generate Nemo Gym Env (adithya-s-k/FineEnvs, 443 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.