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holoscan-install-conda

holoscan-install-conda

github.com/nvidiaDevelopment3.8k1.8k installsUpdated today
Repository

About holoscan-install-conda

holoscan-install-conda is a skill for checking whether Conda installation is supported for a requested Holoscan SDK 5.x release. It distinguishes 5.x from 4.x packages and guides users to version-preserving alternatives when Conda packages are unavailable or unconfirmed.

Key features

  1. 01Check release-specific Conda support
  2. 02Verify matching package publication
  3. 03Distinguish Holoscan 5.x from 4.x
  4. 04Offer container, Debian, wheel, or source paths
  5. 05Preserve the requested version and development goal

Use cases

  1. 01Check whether a Holoscan 5.x release can use Conda
  2. 02Choose an alternative when matching Conda packages are unavailable
  3. 03Find an installation path for C++ or Python goals
  4. 04Handle explicit requests to use Holoscan 4.x

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nvidia/skills --skill holoscan-install-conda

After installing, type/holoscan-install-condain Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

BENCHMARK.md
skill-card.md
skill.oms.sig
evals/
evals.json

Details

From the project README

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.

  1. 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.

  2. 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:

    GoalMethod
    Ready-to-use C++ and Python environmentholoscan-install-container
    Native C++ headers and librariesholoscan-install-debian
    Python environmentholoscan-install-wheel
    Early Access binaries unavailable, or SDK developmentholoscan-install-source

  3. 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.

  4. 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.

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