Agent skill · NVIDIA
holoscan-install-debian
Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
What it needs
About 3k tokens when loaded.
What this skill does
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 x8664 (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/sdkinstallation.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: CUDA variant rule — pick the apt package: nvidia-smi CUDA Version Package ------------------------ --------- 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 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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/holoscan-install-debian