Cutlass Skill
slowlyC/agent-gpu-skills
Write, debug, and optimize CUTLASS, CuTe, and CuTeDSL GPU kernels from local upstream source, examples, and headers.
Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills.
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills holoscan-install-debian --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/holoscan-install-debian .claude/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.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/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .claude/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debianType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills holoscan-install-debian --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/holoscan-install-debian .agents/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .agents/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills holoscan-install-debian --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/holoscan-install-debian .cursor/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .cursor/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/holoscan-install-debian--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills holoscan-install-debian --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/holoscan-install-debian .gemini/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .gemini/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills holoscan-install-debianInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/holoscan-install-debian .github/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .github/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill holoscan-install-debian -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills holoscan-install-debian --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/holoscan-install-debian .opencode/skills/holoscan-install-debian && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "holoscan-install-debian" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/holoscan-install-debian into .opencode/skills/holoscan-install-debian/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "holoscan-install-debian", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
holoscan-install-debianInstall Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills.
Holoscan Install Debian is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
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, CUDA, C++ and Python. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
apt-getpython3wgetFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
docs.nvidia.comdeveloper.download.nvidia.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Holoscan Install Debian loads about 1.6k tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 493 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
sudo dpkg -i cuda-keyring_1.1-1_all.deb && sudo apt-get updatesudo apt-get install -y holoscan-cuda-12 # or holoscan-cuda-13# sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12ls $HS/data/racerx 2>/dev/null || sudo $HS/examples/download_example_dataia-smi` CUDA Version and swap variants: `sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cudPATH=/opt/nvidia/holoscan/data`, or run `sudo /opt/nvidia/holoscan/examples/download_example_data` to fetch the `racerx`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.
The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 493 words, ~1,551 tokens.
.claude/skills/holoscan-install-debian/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Install the Holoscan SDK C++ runtime + headers on Ubuntu using NVIDIA's apt repo, selecting the right holoscan-cuda-* package for the host's CUDA driver and verifying with the bundled C++ examples.
nvidia-smi).sudo and network access to developer.download.nvidia.com and docs.nvidia.com.cuda-keyring package (Step 2 installs it if missing)./holoscan-install-wheel if the user needs Python.holoscan-cuda-12 vs holoscan-cuda-13); wrong variant → "CUDA driver version is insufficient".Fetch the Debian/apt section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html before installing. Extract:
holoscan-cuda-12, holoscan-cuda-13, holoscan)If the doc disagrees with anything below, the doc wins.
Determine OS version and CUDA variant if not already known — run in parallel:
lsb_release -a 2>/dev/null || cat /etc/os-release
nvidia-smi 2>&1 | head -5CUDA variant rule — pick the apt package:
| nvidia-smi CUDA Version | Package |
|---|---|
| 13.x+ | holoscan-cuda-13 |
| 12.x (on IGX) | holoscan |
| 12.x (not on IGX) | holoscan-cuda-12 |
| 12.x (nvgpu) | holoscan-cuda-12 |
dpkg -l | grep cuda-keyring
dpkg -l | grep -E "holoscan-cuda-(12|13)|^ii holoscan "
apt-cache show holoscan-cuda-13 holoscan-cuda-12 2>/dev/null | grep -E "^(Package|Version)"Decision rules based on what Step 1 found:
cuda-keyring is already installed.apt-get update if the repo is already configured and the package is visible in apt-cache show.holoscan-cuda-12 when targeting cu12).Skip this step if the package is already installed (detected in Step 1) or if user is on IGX platform.
# If cuda-keyring missing (adjust ubuntu2204/ubuntu2404 as needed) and not on IGX platform:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb && sudo apt-get update
sudo apt-get install -y holoscan-cuda-12 # or holoscan-cuda-13Set the env once for the rest of this step, then run the three C++ checks:
HS=/opt/nvidia/holoscan
export LD_LIBRARY_PATH=$HS/lib
export HOLOSCAN_INPUT_PATH=$HS/data
ulimit -s 32768
ls $HS/examples/{hello_world,tensor_interop,video_replayer}/
# hello_world — expected: "Hello World!"
$HS/examples/hello_world/cpp/hello_world
# tensor_interop — expected: tensors doubling each pass, "Graph execution finished."
# If "CUDA driver version is insufficient": swap package variant:
# sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12
$HS/examples/tensor_interop/cpp/tensor_interop
# video_replayer (10 frames, headless) — expected: Vulkan selects NVIDIA GPU, "Graph execution finished."
# Always run headless: works with or without a display, avoids GUI failure modes over SSH.
ls $HS/data/racerx 2>/dev/null || sudo $HS/examples/download_example_data
python3 -c "
c=open('$HS/examples/video_replayer/cpp/video_replayer.yaml').read()
c=c.replace('count: 0','count: 10').replace('repeat: true','repeat: false').replace('realtime: true','realtime: false')
c=c.replace(' width: 854',' headless: true\n width: 854')
open('/tmp/vr.yaml','w').write(c)"
$HS/examples/video_replayer/cpp/video_replayer --config /tmp/vr.yamlOnce verified, share this snippet with user and suggest adding it to their shell startup file (e.g., ~/.bashrc) if they want it to persist across sessions:
export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib:${LD_LIBRARY_PATH}
export HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data
ulimit -s 32768Then offer next steps:
/holoscan-install-wheells /opt/nvidia/holoscan/examples//explain-examplepython3 -c "import holoscan" fails after apt install. Expected — the Debian package has been C++ only since v3.0.0. Run /holoscan-install-wheel to add Python bindings.nvidia-smi CUDA Version and swap variants: sudo apt-get remove -y holoscan-cuda-13 && sudo apt-get install -y holoscan-cuda-12 (or vice versa).E: Unable to locate package holoscan-cuda-12. cuda-keyring not installed or repo not yet pulled. Run the keyring + apt-get update block in Step 2 (adjust ubuntu2204/ubuntu2404 to match the host).ulimit -s 32768 not set in the current shell. Prepend it to the command (Step 3 pattern).error while loading shared libraries: libholoscan_core.so. LD_LIBRARY_PATH is unset. Use the env snippet from Step 4 — export LD_LIBRARY_PATH=/opt/nvidia/holoscan/lib.video_replayer can't find data. Set HOLOSCAN_INPUT_PATH=/opt/nvidia/holoscan/data, or run sudo /opt/nvidia/holoscan/examples/download_example_data to fetch the racerx dataset.© 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
SKILL.md and 4 other files in skills/holoscan-install-debian of NVIDIA/skills.
Open the folder on GitHubat commit 0e0d506
Holoscan Install Debian 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Holoscan Install Debian this skillNVIDIA/skills | 3.5k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | |
| Cutlass SkillslowlyC/agent-gpu-skills | 169 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Make Op VerifyCVCUDA/CV-CUDA | 2.7k | — | ~433 | Automated safety check: Pass | Custom licence | |
| Review Op SupportCVCUDA/CV-CUDA | 2.7k | — | ~248 | Automated safety check: Pass | Custom licence | |
| Review Op Test CoverageCVCUDA/CV-CUDA | 2.7k | — | ~264 | Automated safety check: Pass | Custom licence | |
| Paddle BuildPaddlePaddle/Paddle | 24k | — | ~1k | Automated safety check: Pass | Apache-2.0 |
slowlyC/agent-gpu-skills
Write, debug, and optimize CUTLASS, CuTe, and CuTeDSL GPU kernels from local upstream source, examples, and headers.
CVCUDA/CV-CUDA
Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate).
CVCUDA/CV-CUDA
Review a CV-CUDA operator's input-type, layout, dtype, and channel support matrix.
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.
PaddlePaddle/Paddle
A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.
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.
NVIDIA/skills
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.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
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.
NVIDIA/skills
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.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
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.
Works with
Categories
Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills. Holoscan Install Debian is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Install Holoscan SDK natively on Ubuntu via apt.
Holoscan Install Debian fits situations like: C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
Run `npx skills add NVIDIA/skills --skill holoscan-install-debian -a claude-code`. Or copy the skill folder (skills/holoscan-install-debian in NVIDIA/skills) into .claude/skills/holoscan-install-debian in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill holoscan-install-debian -a codex`. Or copy the skill folder (skills/holoscan-install-debian in NVIDIA/skills) into .agents/skills/holoscan-install-debian in your project. Codex loads it when a task matches its description.
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-debian -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-debian, .gemini/skills/holoscan-install-debian, .github/skills/holoscan-install-debian and .opencode/skills/holoscan-install-debian in your project.
Going by SKILL.md and its folder, Holoscan Install Debian needs the command-line tools its instructions call (apt-get, python3 and wget). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: docs.nvidia.com and developer.download.nvidia.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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.
Holoscan Install Debian 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.
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Holoscan Install Debian: 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.
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.