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Use holoscan-install-conda to prepare a Conda installation plan for Holoscan on [Linux host details] for [Python runtime or C++ development], first confirming the CUDA 13, GPU, network, and current official-install-instructions prerequisites.
Required inputs
[Linux host details]
[Python runtime or C++ development]
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SKILL.md
name: holoscan-install-condadescription: "Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method."license: Apache-2.0metadata: author: "Holoscan Team <holoscan-team@nvidia.com>" version: "2.0.0" github-url: "https://github.com/nvidia-holoscan/holoscan-sdk" tags: - holoscan - installation - conda
Holoscan 5.0 and Conda
This skill checks Conda availability for the requested Holoscan SDK 5.x release.
SDK 5.0 has no Conda package. For later releases, it follows the release's Conda
instructions when support is documented and matching packages are published.
Otherwise, it offers container, Debian, wheel, or source alternatives while
preserving the requested SDK version and C++ or Python goal.
Conda-forge Holoscan 4.x packages are a different release line and cannot satisfy
a 5.x installation request.
Establish the requested SDK release. For 5.0, explain that Conda installation
is unavailable; do not install Miniforge, create an environment, or run a
Holoscan Conda solve. For a later release, follow its documented Conda method
only if that release explicitly supports it and the matching packages are
published. If availability is unknown, report the uncertainty and offer the
verified alternatives below rather than inventing an installation command.
When Conda is unavailable or unconfirmed, preserve the requested SDK version
and the user's C++ or Python goal. Offer the matching skill when available,
or use the release's installation guide directly:
Goal
Method
Ready-to-use C++ and Python environment
holoscan-install-container
Native C++ headers and libraries
holoscan-install-debian
Python environment
holoscan-install-wheel
Early Access binaries unavailable, or SDK development
holoscan-install-source
Confirm which alternative the user wants if they have not already chosen
one. If the host or goal is unclear, use holoscan-setup to assess it.
If the user explicitly needs 4.x, consult that release's Conda instructions
and report the version change before proceeding. Keep an existing Conda
installation intact; its presence does not establish availability for the
requested release.
Use the selected release notes and
installation guide
to establish current support. Do not treat a 4.x search result as 5.x support.