Agent skill · software engineering · nvidia

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.

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 conda installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 2,816 stars on the source repository.

What this skill does

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 to establish current support. Do not treat a 4.x search result as 5.x support.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nvidia/holoscan-install-conda

View the source on GitHub

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