Agent skill · NVIDIA
holoscan-install-wheel
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
What it needs
About 3k tokens when loaded.
What this skill does
Holoscan pip Wheel Installation Purpose Install the Holoscan SDK Python bindings via the holoscan-cu12 / holoscan-cu13 pip wheel into a virtual environment, and verify with helloworld and videoreplayer. Prerequisites Linux x8664 with NVIDIA GPU + driver (nvidia-smi). CUDA Toolkit on PATH matching the host CUDA major (12 or 13). Python 3.10–3.13 with venv available. Network access to PyPI and docs.nvidia.com. Limitations Python only. For C++ headers/libs, pair with /holoscan-install-debian. holoscan-cu12 and holoscan-cu13 are mutually exclusive — wheel must match host CUDA driver. videoreplayer data ships only with the Debian package; without it, set HOLOSCANINPUTPATH to a directory containing racerx/. ulimit -s 32768 is recommended in every shell that runs Holoscan — without it some apps emit a stack-size warning or, in rarer cases, segfault. Step 0: Consult the Official Install Instructions Always fetch the pip-wheel section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdkinstallation.html before installing. Extract: exact wheel package names (holoscan-cu12, holoscan-cu13), the supported Python range for the current release, prerequisites that must be on PATH (CUDA Toolkit), and any optional extras (LibTorch / ONNX Runtime version pins). If the doc disagrees with anything below, the doc wins. You need the CUDA variant already determined. If not known, run nvidia-smi 2>&1 head -5 first. CUDA variant rule — pick the pip package: nvidia-smi CUDA Version pip package ------------------------ ------------- 13.x+ holoscan-cu13 12.x (any GPU) holoscan-cu12 Prerequisites: CUDA Toolkit on PATH, Python 3.10–3.13. Optional extras: LibTorch 2.11.0+, ONNX Runtime 1.22.0+. Always install into a Python virtual environment — this avoids system-package conflicts and is required on Ubuntu 24.04 (which blocks system-wide pip entirely). …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/holoscan-install-wheel