Agent skill · software engineering · nvidia
holoscan-install-wheel
Install Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.
Why this skill is useful
Provides specific installation commands and environment setup for the Holoscan SDK that the AI wouldn't reliably generate on its own.
What it needs
Requires pip, python installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 2,816 stars on the source repository.
What this skill does
Holoscan 5.x Python Wheel Installation Release and platform checks This skill targets Holoscan SDK 5.x. Select the requested 5.x release before choosing artifacts. Read its release notes and the matching SDK installation guide. Select the 5.x documentation version; an unversioned page may describe 4.x. For an unreleased checkout, use its docs/sdkinstallation.mdx and DEVELOP.md. Early Access binary commands describe planned artifacts, so confirm publication for the exact release before installing. If unavailable, explain that status and offer holoscan-install-source; keep the requested 5.x version. The 5.0 artifact set targets CUDA 13 and dGPU systems on x8664 or arm64. Native packages use Ubuntu 24.04; wheels use glibc 2.39 and regular CPython 3.12–3.14. Check the selected release for changes to that matrix. There is no CUDA 12 variant or separate Tegra/iGPU artifact in this set. A driver reporting CUDA 12 support needs a compatibility assessment or driver upgrade before a CUDA 13 installation; the nvidia-smi CUDA field is a driver capability, not the installed toolkit version. Never infer compatibility from that field alone. Choose a distribution Wheels contain Python bindings, typing information, and native runtime libraries. C++ headers, CMake files, examples, and sample data are separate. For native C++ development use Debian packages or a source build. Goal Distribution --- --- Full stack holoscan (selects holoscan-cu13) Core only holoscan-core-cu13 Optional modules holoscan-vision-cu13, holoscan-visualization-cu13, holoscan-inference-cu13 Inspect the host, python3 --version, and getconf GNULIBCVERSION. Confirm regular CPython 3.12–3.14, glibc 2.39 or newer, a compatible Linux architecture, and the CUDA 13 driver/runtime prerequisites. An active Conda environment does not imply a supported Conda package. Prefer a separate venv for this workflow. If these prerequisites are unmet, report the failed check and stop before installation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/holoscan-install-wheel