Agent skill · NVIDIA

holoscan-install-conda

Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.

What it needs

About 4k tokens when loaded.

What this skill does

Holoscan Conda Installation Purpose Install the Holoscan SDK (Python runtime and/or C++ dev headers) into a Conda environment on Linux x8664, using conda-forge + rapidsai with a correctly pinned CUDA metapackage. Prerequisites Linux x8664 with an NVIDIA GPU and CUDA 13 driver (check nvidia-smi). conda (Miniforge preferred). Step 1 installs it if missing. Network access to conda-forge, rapidsai, and docs.nvidia.com. Limitations CUDA 13 only (since v4.3.0 — earlier releases were CUDA 12). If the user has a CUDA 12 driver, redirect to /holoscan-install-container or /holoscan-install-wheel instead. Linux x8664 only — no aarch64/iGPU support on conda-forge. ulimit -s 32768 is recommended in every shell that runs Holoscan — without it, some apps may segfault. Step 0: Consult the Official Install Instructions Always fetch the current Conda section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdkinstallation.html before installing — package names, channel selection, and the runtime/dev split can change between releases. Specifically extract: The exact runtime package name (e.g. holoscan for Python bindings). The C++ dev package name and whether the user needs it. As of v4.1.0, libholoscan-dev is a separate package containing headers and CMake config — install it whenever the user wants to develop C++ apps. Without it, findpackage(holoscan) fails and there are no headers to #include. Supported Python versions for the current release (3.10–3.13 for v4.3). The current cuda-version pin (v4.3 → 13). rmm and ucxx are distributed via the rapidsai channel; holoscan, libholoscan, and libholoscan-dev come from conda-forge. If the doc disagrees with anything below, the doc wins — update the install commands accordingly and tell the user. Step 1: Prerequisites Check If conda is not found, install Miniforge silently (preferred over Miniconda for conda-forge): The -b flag installs non-interactively without modifying .bashrc. …

How to use it

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

@skills NVIDIA/holoscan-install-conda

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