Official agent skill

Holoscan Install Debian

by NVIDIA in NVIDIA/skills

Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills.

OfficialApache-2.0Auto-check: notesAI & LLM Engineering

Install Holoscan Install Debian

skills CLI
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills holoscan-install-debian --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holoscan-install-debian .claude/skills/holoscan-install-debian && rm -rf skills-src

Use ~/.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/

Facts

Skill name
holoscan-install-debian
GitHub stars
3.5k
Token cost
~1.6k tokens
SKILL.md length
493 words
Files
5
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills.

  • Works in 5 steps: Consult the Official Install Instructions → Prerequisites Check → Install → …
  • C++ installs on Ubuntu
  • SKILL.md covers Purpose, Prerequisites, Limitations and Step 0: Consult the Official…, plus 5 more sections
  • Calls apt-get, python3 and wget; reaches docs.nvidia.com and developer.download.nvidia.com

What it does

Holoscan Install Debian is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.

Its SKILL.md is about 1.6k 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 AI & LLM Engineering. It works with NVIDIA AI Platform, CUDA, C++ and Python. 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.

When your agent uses it

  • C++ installs on Ubuntu
  • Pair with /holoscan-install-wheel for Python

Example prompts

  • “/holoscan-install-debian”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Consult the Official Install Instructions
  2. Prerequisites Check
  3. Install
  4. Verify
  5. Give the User the Reusable Env Snippet

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. 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

    Shell commands in SKILL.md call:

    • apt-get
    • python3
    • wget

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • docs.nvidia.com
    • developer.download.nvidia.com

    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

Holoscan Install Debian loads about 1.6k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~38
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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.

  • NoteRuns commands with sudoSKILL.md:82
    sudo dpkg -i cuda-keyring_1.1-1_all.deb && sudo apt-get update
  • NoteRuns commands with sudoSKILL.md:84
    sudo apt-get install -y holoscan-cuda-12   # or holoscan-cuda-13
  • NoteRuns commands with sudoSKILL.md:104
    #   sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12
  • NoteRuns commands with sudoSKILL.md:109
    ls $HS/data/racerx 2>/dev/null || sudo $HS/examples/download_example_data
  • NoteRuns commands with sudoSKILL.md:137
    ia-smi` CUDA Version and swap variants: `sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cud
  • NoteRuns commands with sudoSKILL.md:141
    PATH=/opt/nvidia/holoscan/data`, or run `sudo /opt/nvidia/holoscan/examples/download_example_data` to fetch the `racerx`

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

The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 493 words, ~1,551 tokens.

Download SKILL.mdSave it as .claude/skills/holoscan-install-debian/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
holoscan-install-debian
description
Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
version
1.0.0
license
Apache-2.0
metadata.author
Holoscan Team <holoscan-team@nvidia.com>
metadata.github-url
https://github.com/nvidia-holoscan/holoscan-sdk
metadata.tags
holoscan, install, debian, apt, ubuntu

Holoscan Debian/apt Installation

Purpose

Install the Holoscan SDK C++ runtime + headers on Ubuntu using NVIDIA's apt repo, selecting the right holoscan-cuda-* package for the host's CUDA driver and verifying with the bundled C++ examples.

Prerequisites

  • Ubuntu x86_64 (22.04 / 24.04) or ARM64 (Jetson / IGX) with an NVIDIA GPU and working driver (nvidia-smi).
  • sudo and network access to developer.download.nvidia.com and docs.nvidia.com.
  • cuda-keyring package (Step 2 installs it if missing).

Limitations

  • No Python bindings from apt — pair with /holoscan-install-wheel if the user needs Python.
  • Ubuntu-only. Other distros must use the container or wheel install.
  • Package variant must match the host CUDA driver (holoscan-cuda-12 vs holoscan-cuda-13); wrong variant → "CUDA driver version is insufficient".

Step 0: Consult the Official Install Instructions

Fetch the Debian/apt section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html before installing. Extract:

  • Exact package names (holoscan-cuda-12, holoscan-cuda-13, holoscan)
  • Supported Ubuntu versions
  • The cuda-keyring URL for the right distro

If the doc disagrees with anything below, the doc wins.

Determine OS version and CUDA variant if not already known — run in parallel:

bash
lsb_release -a 2>/dev/null || cat /etc/os-release
nvidia-smi 2>&1 | head -5

CUDA variant rule — pick the apt package:

nvidia-smi CUDA VersionPackage
13.x+holoscan-cuda-13
12.x (on IGX)holoscan
12.x (not on IGX)holoscan-cuda-12
12.x (nvgpu)holoscan-cuda-12

Step 1: Prerequisites Check

bash
dpkg -l | grep cuda-keyring
dpkg -l | grep -E "holoscan-cuda-(12|13)|^ii  holoscan "
apt-cache show holoscan-cuda-13 holoscan-cuda-12 2>/dev/null | grep -E "^(Package|Version)"

Decision rules based on what Step 1 found:

  • Skip the keyring step if cuda-keyring is already installed.
  • Skip apt-get update if the repo is already configured and the package is visible in apt-cache show.
  • Skip Step 2 entirely and proceed directly to Step 3 if the correct package variant is already installed (e.g. holoscan-cuda-12 when targeting cu12).

Step 2: Install

Skip this step if the package is already installed (detected in Step 1) or if user is on IGX platform.

bash
# If cuda-keyring missing (adjust ubuntu2204/ubuntu2404 as needed) and not on IGX platform:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb && sudo apt-get update

sudo apt-get install -y holoscan-cuda-12   # or holoscan-cuda-13

Step 3: Verify

Set the env once for the rest of this step, then run the three C++ checks:

bash
HS=/opt/nvidia/holoscan
export LD_LIBRARY_PATH=$HS/lib
export HOLOSCAN_INPUT_PATH=$HS/data
ulimit -s 32768

ls $HS/examples/{hello_world,tensor_interop,video_replayer}/

# hello_world — expected: "Hello World!"
$HS/examples/hello_world/cpp/hello_world

# tensor_interop — expected: tensors doubling each pass, "Graph execution finished."
# If "CUDA driver version is insufficient": swap package variant:
#   sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12
$HS/examples/tensor_interop/cpp/tensor_interop

# video_replayer (10 frames, headless) — expected: Vulkan selects NVIDIA GPU, "Graph execution finished."
# Always run headless: works with or without a display, avoids GUI failure modes over SSH.
ls $HS/data/racerx 2>/dev/null || sudo $HS/examples/download_example_data
python3 -c "
c=open('$HS/examples/video_replayer/cpp/video_replayer.yaml').read()
c=c.replace('count: 0','count: 10').replace('repeat: true','repeat: false').replace('realtime: true','realtime: false')
c=c.replace('  width: 854','  headless: true\n  width: 854')
open('/tmp/vr.yaml','w').write(c)"
$HS/examples/video_replayer/cpp/video_replayer --config /tmp/vr.yaml
Show full SKILL.md (201 more words)Show less

Step 4: Give the User the Reusable Env Snippet

Once verified, share this snippet with user and suggest adding it to their shell startup file (e.g., ~/.bashrc) if they want it to persist across sessions:

bash
export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib:${LD_LIBRARY_PATH}
export HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data
ulimit -s 32768

Then offer next steps:

  • Add Python support: /holoscan-install-wheel
  • Explore examples: ls /opt/nvidia/holoscan/examples/
  • Walk through a specific example: /explain-example
  • Start building a custom Holoscan application

Troubleshooting

  • python3 -c "import holoscan" fails after apt install. Expected — the Debian package has been C++ only since v3.0.0. Run /holoscan-install-wheel to add Python bindings.
  • "CUDA driver version is insufficient" when running an example. Wrong package variant. Re-check nvidia-smi CUDA Version and swap variants: sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12 (or vice versa).
  • E: Unable to locate package holoscan-cuda-12. cuda-keyring not installed or repo not yet pulled. Run the keyring + apt-get update block in Step 2 (adjust ubuntu2204/ubuntu2404 to match the host).
  • Segmentation fault when launching an example. ulimit -s 32768 not set in the current shell. Prepend it to the command (Step 3 pattern).
  • error while loading shared libraries: libholoscan_core.so. LD_LIBRARY_PATH is unset. Use the env snippet from Step 4 — export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib.
  • video_replayer can't find data. Set HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data, or run sudo /opt/nvidia/holoscan/examples/download_example_data to fetch the racerx dataset.

© 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

Files

SKILL.md and 4 other files in skills/holoscan-install-debian of NVIDIA/skills.

  • SKILL.md
  • BENCHMARK.md
  • evals/evals.json
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 0e0d506

Compare with similar skills

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Review Op Test CoverageCVCUDA/CV-CUDA2.7k—~264Automated safety check: PassCustom licence
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Questions about Holoscan Install Debian

What does Holoscan Install Debian do?

Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills. Holoscan Install Debian is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK natively on Ubuntu via apt.

When should I use Holoscan Install Debian?

Holoscan Install Debian fits situations like: C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.

How do I install Holoscan Install Debian in Claude Code?

Run `npx skills add NVIDIA/skills --skill holoscan-install-debian -a claude-code`. Or copy the skill folder (skills/holoscan-install-debian in NVIDIA/skills) into .claude/skills/holoscan-install-debian in your project. Claude Code loads it when a task matches its description.

How do I install Holoscan Install Debian in Codex?

Run `npx skills add NVIDIA/skills --skill holoscan-install-debian -a codex`. Or copy the skill folder (skills/holoscan-install-debian in NVIDIA/skills) into .agents/skills/holoscan-install-debian in your project. Codex loads it when a task matches its description.

Can I use Holoscan Install Debian 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/skills --skill holoscan-install-debian -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-debian, .gemini/skills/holoscan-install-debian, .github/skills/holoscan-install-debian and .opencode/skills/holoscan-install-debian in your project.

What does Holoscan Install Debian need to run?

Going by SKILL.md and its folder, Holoscan Install Debian needs the command-line tools its instructions call (apt-get, python3 and wget). Our summary lists: Python 3.

Does Holoscan Install Debian access the network?

SKILL.md names 2 domains. In commands or code: docs.nvidia.com and developer.download.nvidia.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Holoscan Install Debian safe to install?

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.

What licence does Holoscan Install Debian use?

Holoscan Install Debian 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.

How many tokens does Holoscan Install Debian use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Holoscan Install Debian?

Skills that share tags, products or a category with Holoscan Install Debian: Cutlass Skill (slowlyC/agent-gpu-skills, 169 stars), Make Op Verify (CVCUDA/CV-CUDA, 2.7k stars), Review Op Support (CVCUDA/CV-CUDA, 2.7k stars) and Review Op Test Coverage (CVCUDA/CV-CUDA, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Holoscan Install Debian?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 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.