Individual skill
holoscan-install-wheel
Install Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.
skills/holoscan-install-wheel/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
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- Network or broad shell
- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
- 3,888
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
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- cuda Repository topic
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- holoscan Declared skill tag
- installation Declared skill tag
- wheel Declared skill tag
- engineering Derived category
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BENCHMARK.mddoc · 8,387 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesSKILL.mdcore · 5,080 bytesevals/evals.jsonasset · 6,647 bytesskill-card.mddoc · 4,839 bytesskill.oms.sigasset · 4,597 bytes
Read excerpt
# 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](https://docs.nvidia.com/holoscan/sdk-user-guide/setup/sdk-installation).
Select the 5.x documentation version; an unversioned page may describe 4.x.
For an unreleased checkout, use its `docs/sdk_installation.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 x86_64 or arm64.