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Agent Skills/Holoscan source installation
NVIDIABackendSKILL.mdVerified source

Agent Skill

Holoscan source installation

Build and verify Holoscan SDK from source when published packages cannot satisfy custom build requirements.

Install this skillView repository

Vendor-authored source · Apache-2.0 / CC-BY-4.0 license.

Raw SKILL.mdInstall the Tokens& Agent Pack

Skill specification

Declared by NVIDIA in the package front matter. Trigger conditions are what the coding agent matches on before it loads the skill.

View package fields
Holoscan source installation SKILL.md front matter fields
Skill nameholoscan-install-source
Trigger conditionsBuild Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
Declared licenseApache-2.0
Version1.0.0

Install holoscan-install-source

In a terminal with Node.js, npm and Git, run the command for your agent. The Skills CLI installs the complete package directory, including referenced files within it. Review its install prompt, then start a new agent session. A skill package does not set up an MCP server connection.

Claude Code

.claude/skills/holoscan-install-source/SKILL.md

Project skills are committed with the repo. Use the user directory for a personal install across every project.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'claude-code'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'claude-code' --global

Codex

.agents/skills/holoscan-install-source/SKILL.md

Codex reads `.agents/skills/` as its primary location, which is also the cross-platform default other clients honour.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'codex'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'codex' --global

Cursor

.agents/skills/holoscan-install-source/SKILL.md

Cursor also loads `.agents/skills/`, `.claude/skills/`, and `.codex/skills/`, so one committed copy can serve several clients.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'cursor'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'cursor' --global

Gemini CLI

.agents/skills/holoscan-install-source/SKILL.md

Gemini CLI reads `.agents/skills/` first when both directories exist.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'gemini-cli'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'gemini-cli' --global

GitHub Copilot

.agents/skills/holoscan-install-source/SKILL.md

The Skills CLI uses the shared `.agents/skills/` directory for Copilot project installs.

Project install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'github-copilot'
Install for all projects instead

Personal install

npx skills add 'https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source' --skill 'holoscan-install-source' --agent 'github-copilot' --global

SKILL.md

View raw source

Published by NVIDIA under Apache-2.0 / CC-BY-4.0. Rendered from the package in github.com/NVIDIA/skills/tree/main/skills/holoscan-install-source.

Read full skill instructions

Holoscan SDK — Build from Source

Purpose

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.

Prerequisites

  • Linux host with NVIDIA GPU + driver (nvidia-smi).
  • git, Docker with NVIDIA Container Toolkit (docker run --gpus all works), and docker-buildx-plugin.
  • ~20 GB free disk for the build container + build/install trees.
  • 10–30 min for a clean first build.

Limitations

  • Only recommended when published packages (Conda / container / apt / wheel) don't fit — debug symbols, custom CMake options, or unsupported configs.
  • Still requires Docker — the ./run script builds inside a container; this is not a true bare-metal build.
  • Cross-compiling to aarch64 needs qemu-user-static on the host.

Step 0: Consult the Official Install Instructions

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.

Step 1: Prerequisites

Check that git and Docker (with GPU passthrough) are available:

git --version
docker --version
docker run --rm --gpus all ubuntu:22.04 nvidia-smi
  • If Docker is missing → help install from https://docs.docker.com/engine/install/
  • If GPU passthrough fails → install NVIDIA Container Toolkit:
  curl -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 docker
  • If Docker buildx is missing: sudo apt-get install docker-buildx-plugin

Step 2: Clone the Repository

Clone repo to ~/holoscan/holoscan-sdk if needed

mkdir -p ~/holoscan/
git clone https://github.com/nvidia-holoscan/holoscan-sdk.git
cd ~/holoscan/holoscan-sdk

To 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. v4.1.0

Step 3: Build

The ./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 build

Common options:

FlagPurpose
--type debugDebug build (symbols, no optimization)
--type RelWithDebInfoRelease + debug symbols
--arch aarch64Cross-compile for ARM64 (needs sudo apt install qemu-user-static)
--gpu igpuiGPU build for Jetson/IGX
--dryrunPreview commands without executing

If CMake cache errors occur after changing options:

./run clear_cache && ./run build

Output lands in these folders, and can be retrieved with ./run get_build_dir and ./run get_install_dir

  • Build dir: build-cu<N>-<arch>/
  • Install dir: install-cu<N>-<arch>/.

Step 4: Run Tests

Run the following tests

  • 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
./run test

To 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 --verbose

Important: 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.

Step 5: Point Applications at the Install Tree

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.

Troubleshooting

SymptomFix
bash: <TEST_NAME>: command not found when running testsThe regex contains `\— wrap it in single quotes:--options "-R '<regex>'"`
CMake cache errors after option change./run clear_cache && ./run build
Docker buildx not foundsudo apt-get install docker-buildx-plugin
GPU not visible inside build containerVerify 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

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