New: 97,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Official agent skill

Holoscan Install Wheel

by NVIDIA in NVIDIA/skills

Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills.

OfficialApache-2.0Auto-check: notesAI & LLM Engineering

Install Holoscan Install Wheel

skills CLI
$ npx skills add NVIDIA/skills --skill holoscan-install-wheel -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills holoscan-install-wheel --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holoscan-install-wheel .claude/skills/holoscan-install-wheel && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
holoscan-install-wheel
GitHub stars
3.5k
Token cost
~1.6k tokens
SKILL.md length
487 words
Files
5
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills.

  • Works in 5 steps: Consult the Official Install Instructions → Create and Activate the venv → Install → …
  • Python installs
  • SKILL.md covers Purpose, Prerequisites, Limitations and Step 0: Consult the Official…, plus 5 more sections
  • Calls python3, pip and curl; reaches docs.nvidia.com and github.com

What it does

Holoscan Install Wheel is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `BENCHMARK.md`, `evals/evals.json` and `skill-card.md`).

It sits in AI & LLM Engineering. It works with NVIDIA AI Platform, Python, CUDA and C++. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

  • Python installs
  • Not for native C++/apt

Example prompts

  • “/holoscan-install-wheel”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Consult the Official Install Instructions
  2. Create and Activate the venv
  3. Install
  4. Verify
  5. Remind the User

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3
    • pip
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • docs.nvidia.com
    • github.com
    • raw.githubusercontent.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Holoscan Install Wheel loads about 1.6k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 487 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:112
    he Debian package is not installed, run `sudo /opt/nvidia/holoscan/examples/download_example_data` first (requires the a

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 487 words, ~1,575 tokens.

Download SKILL.mdSave it as .claude/skills/holoscan-install-wheel/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
holoscan-install-wheel
description
Install Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
version
1.0.0
license
Apache-2.0
metadata.author
Holoscan Team <holoscan-team@nvidia.com>
metadata.github-url
https://github.com/nvidia-holoscan/holoscan-sdk
metadata.tags
holoscan, install, pip, wheel, python

Holoscan pip Wheel Installation

Purpose

Install the Holoscan SDK Python bindings via the holoscan-cu12 / holoscan-cu13 pip wheel into a virtual environment, and verify with hello_world and video_replayer.

Prerequisites

  • Linux x86_64 with NVIDIA GPU + driver (nvidia-smi).
  • CUDA Toolkit on PATH matching the host CUDA major (12 or 13).
  • Python 3.10–3.13 with venv available.
  • Network access to PyPI and docs.nvidia.com.

Limitations

  • Python only. For C++ headers/libs, pair with /holoscan-install-debian.
  • holoscan-cu12 and holoscan-cu13 are mutually exclusive — wheel must match host CUDA driver.
  • video_replayer data ships only with the Debian package; without it, set HOLOSCAN_INPUT_PATH to a directory containing racerx/.
  • ulimit -s 32768 is recommended in every shell that runs Holoscan — without it some apps emit a stack-size warning or, in rarer cases, segfault.

Step 0: Consult the Official Install Instructions

Always fetch the pip-wheel section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html before installing. Extract: exact wheel package names (holoscan-cu12, holoscan-cu13), the supported Python range for the current release, prerequisites that must be on PATH (CUDA Toolkit), and any optional extras (LibTorch / ONNX Runtime version pins). If the doc disagrees with anything below, the doc wins.

You need the CUDA variant already determined. If not known, run nvidia-smi 2>&1 | head -5 first.

CUDA variant rule — pick the pip package:

nvidia-smi CUDA Versionpip package
13.x+holoscan-cu13
12.x (any GPU)holoscan-cu12

Prerequisites: CUDA Toolkit on PATH, Python 3.10–3.13. Optional extras: LibTorch 2.11.0+, ONNX Runtime 1.22.0+.

Always install into a Python virtual environment — this avoids system-package conflicts and is required on Ubuntu 24.04 (which blocks system-wide pip entirely).

Step 1: Create and Activate the venv

Check if one exists first:

bash
ls ~/holoscan/venv 2>/dev/null && echo "exists" || echo "missing"

If missing:

bash
python3 -m venv ~/holoscan/venv

Then activate:

bash
source ~/holoscan/venv/bin/activate

Step 2: Install

bash
pip install holoscan-cu12   # or holoscan-cu13
Show full SKILL.md (220 more words)Show less

Step 3: Verify

The venv must be active for all commands below.

bash
# Basic import — expected: version string, e.g. "4.1.0"
# The stack-size RuntimeWarning is harmless; ulimit -s 32768 suppresses it.
python3 -c "import holoscan; print(holoscan.__version__)"

# Fetch Python examples from GitHub at the installed version tag.
# These are official NVIDIA examples, fetched over HTTPS and pinned to the tag
# matching the installed wheel (v${SDK_VER}). Before running them, tell the user
# you're about to download and execute remote example scripts from this URL. If
# they decline or GitHub is unreachable, skip to browsing the examples in Step 4.
SDK_VER=$(python3 -c "import holoscan; print(holoscan.__version__)")
BASE="https://raw.githubusercontent.com/nvidia-holoscan/holoscan-sdk/v${SDK_VER}/examples"

# hello_world — expected: "Hello World!"
curl -fsSL "${BASE}/hello_world/python/hello_world.py" -o /tmp/hs_hello_world.py
ulimit -s 32768 && python3 /tmp/hs_hello_world.py

# video_replayer (10 frames, headless) — expected: "Graph execution finished."
# Always run headless: works with or without a display, avoids GUI failure modes over SSH.
curl -fsSL "${BASE}/video_replayer/python/video_replayer.py" -o /tmp/hs_video_replayer.py
curl -fsSL "${BASE}/video_replayer/python/video_replayer.yaml" -o /tmp/hs_video_replayer.yaml
python3 -c "
c = open('/tmp/hs_video_replayer.yaml').read()
c = c.replace('count: 0','count: 10').replace('repeat: true','repeat: false').replace('realtime: true','realtime: false')
c = c.replace('holoviz:\n  width: 854','holoviz:\n  headless: true\n  width: 854')
open('/tmp/hs_video_replayer_run.yaml','w').write(c)"
ulimit -s 32768 && HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data \
  python3 /tmp/hs_video_replayer.py --config /tmp/hs_video_replayer_run.yaml

Note: video_replayer needs the racerx data files. These ship with the Debian package at /opt/nvidia/holoscan/data. If the Debian package is not installed, run sudo /opt/nvidia/holoscan/examples/download_example_data first (requires the apt package to be installed for that script), or set HOLOSCAN_INPUT_PATH to wherever the data lives.

Step 4: Remind the User

They must activate the venv in each new shell session:

bash
source ~/holoscan/venv/bin/activate
ulimit -s 32768   # suppress stack-size warning

Then offer next steps:

  • Explore Python examples at https://github.com/nvidia-holoscan/holoscan-sdk/tree/v<VERSION>/examples
  • Walk through a specific example: /explain-example
  • Start building a custom Holoscan application

Troubleshooting

  • pip install holoscan-cu12 errors with "externally-managed-environment". Ubuntu 24.04 blocks system-wide pip. Create and activate the venv from Step 1 first.
  • ImportError / wrong CUDA at import holoscan. Wheel variant doesn't match host CUDA. Uninstall and reinstall the matching one: pip uninstall -y holoscan-cu13 && pip install holoscan-cu12 (or vice versa).
  • RuntimeWarning: stack size .... Harmless, but set ulimit -s 32768 in the current shell to silence it.
  • Segmentation fault when running an example. ulimit -s 32768 wasn't set. Set it before python3 ....
  • video_replayer can't find racerx/. HOLOSCAN_INPUT_PATH isn't pointing at a directory containing it. Install the Debian package for /opt/nvidia/holoscan/data, or set HOLOSCAN_INPUT_PATH to wherever the data lives.
  • source: no such file: ~/holoscan/venv/bin/activate in a new shell. Venv wasn't created or path differs. Re-run Step 1 or correct the path.

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/holoscan-install-wheel of NVIDIA/skills.

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

Open the folder on GitHubat commit 0e0d506

Compare with similar skills

Holoscan Install Wheel next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Holoscan Install Wheel compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Holoscan Install Wheel this skillNVIDIA/skills3.5k—~1.6kAutomated safety check: NotesApache-2.0
Cutlass SkillslowlyC/agent-gpu-skills169—~1.3kAutomated safety check: PassMIT
Make Op VerifyCVCUDA/CV-CUDA2.7k—~433Automated safety check: PassCustom licence
Review Op SupportCVCUDA/CV-CUDA2.7k—~248Automated safety check: PassCustom licence
Review Op Test CoverageCVCUDA/CV-CUDA2.7k—~264Automated safety check: PassCustom licence
Paddle BuildPaddlePaddle/Paddle24k—~1kAutomated safety check: PassApache-2.0

Similar skills

  • Cutlass Skill

    slowlyC/agent-gpu-skills

    Write, debug, and optimize CUTLASS, CuTe, and CuTeDSL GPU kernels from local upstream source, examples, and headers.

    169 GitHub stars~1.3k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed

  • Make Op Verify

    CVCUDA/CV-CUDA

    Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate).

    2.7k GitHub stars~433 tokensUpdated 20 days ago
    AI & LLM EngineeringAuto-check passed

  • Review Op Support

    CVCUDA/CV-CUDA

    Review a CV-CUDA operator's input-type, layout, dtype, and channel support matrix.

    2.7k GitHub stars~248 tokensUpdated 20 days ago
    AI & LLM EngineeringAuto-check passed

  • Review Op Test Coverage

    CVCUDA/CV-CUDA

    Review a CV-CUDA operator's test coverage, including C++ correctness, required cross-layout parity, correctness rigor, and the Python API surface.

    2.7k GitHub stars~264 tokensUpdated 20 days ago
    Testing & QAAuto-check passed

  • Paddle Build

    PaddlePaddle/Paddle

    A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.

    24k GitHub stars~1k tokensUpdated 7 days ago
    AI & LLM EngineeringAuto-check passed

  • Optimize Op

    CVCUDA/CV-CUDA

    Drive a single-operator optimization campaign per .agents/guidance/OPTIMIZATIONGUIDELINES.md, with a deterministically enforced definition-of-done and versioned MR summary.

    2.7k GitHub stars~834 tokensUpdated 20 days ago
    AI & LLM EngineeringAuto-check passed

More from NVIDIA/skills

All 380 skills in this repo

  • Vss Deploy Detection Tracking 2D

    NVIDIA/skills

    Official

    A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.

    3.5k GitHub starsUsed in 1 repo~4.5k tokens
    Auto-check passed

  • HSB IP Def File Tool

    NVIDIA/skills

    Official

    Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.

    3.5k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

  • Isaac Sim Mission Control Showcase

    NVIDIA/skills

    Official

    Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.

    3.5k GitHub stars~4.8k tokensUpdated today
    Auto-check passed

  • Defect Image Generation with Cosmos AnomalyGen

    NVIDIA/skills

    Official

    Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.

    3.5k GitHub stars~5k tokensUpdated today
    Auto-check: notes

  • Physical AI Video Augmentation on OSMO

    NVIDIA/skills

    Official

    Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.

    3.5k GitHub stars~4.7k tokensUpdated today
    Auto-check: notes

  • TAO Detection KPI Analysis

    NVIDIA/skills

    Official

    Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.

    3.5k GitHub stars~2.7k tokensUpdated today
    Auto-check: notes

Works with

Categories

Questions about Holoscan Install Wheel

What does Holoscan Install Wheel do?

Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills. Holoscan Install Wheel is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK Python wheel via pip into a venv.

When should I use Holoscan Install Wheel?

Holoscan Install Wheel fits situations like: Python installs; not for native C++/apt.

How do I install Holoscan Install Wheel in Claude Code?

Run `npx skills add NVIDIA/skills --skill holoscan-install-wheel -a claude-code`. Or copy the skill folder (skills/holoscan-install-wheel in NVIDIA/skills) into .claude/skills/holoscan-install-wheel in your project. Claude Code loads it when a task matches its description.

How do I install Holoscan Install Wheel in Codex?

Run `npx skills add NVIDIA/skills --skill holoscan-install-wheel -a codex`. Or copy the skill folder (skills/holoscan-install-wheel in NVIDIA/skills) into .agents/skills/holoscan-install-wheel in your project. Codex loads it when a task matches its description.

Can I use Holoscan Install Wheel in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill holoscan-install-wheel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/holoscan-install-wheel, .gemini/skills/holoscan-install-wheel, .github/skills/holoscan-install-wheel and .opencode/skills/holoscan-install-wheel in your project.

What does Holoscan Install Wheel need to run?

Going by SKILL.md and its folder, Holoscan Install Wheel needs the command-line tools its instructions call (python3, pip and curl). Our summary lists: Python 3.

Does Holoscan Install Wheel access the network?

SKILL.md names 3 domains. In commands or code: docs.nvidia.com, github.com and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Holoscan Install Wheel safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Holoscan Install Wheel use?

Holoscan Install Wheel is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Holoscan Install Wheel use?

About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Holoscan Install Wheel?

Skills that share tags, products or a category with Holoscan Install Wheel: Cutlass Skill (slowlyC/agent-gpu-skills, 169 stars), Make Op Verify (CVCUDA/CV-CUDA, 2.7k stars), Review Op Support (CVCUDA/CV-CUDA, 2.7k stars) and Review Op Test Coverage (CVCUDA/CV-CUDA, 2.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Holoscan Install Wheel?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.