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/holoscan-install-conda

Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method.

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$ npx -y skills add NVIDIA/skills --skill holoscan-install-conda --agent claude-code

SKILL.md

holoscan-install-conda.SKILL.md
name: holoscan-install-conda
description: "Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method."
license: Apache-2.0
metadata:
  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.

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:

| 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` |

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](https://docs.nvidia.com/holoscan/sdk-user-guide/setup/sdk-installation) to establish current support. Do not treat a 4.x search result as 5.x support.

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holoscan-install-conda installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.