cuPyNumeric Install

cuPyNumeric Install is a DevOps skill for Claude Code, published by NVIDIA in skills.

3K stars345 forkson NVIDIA/skillsAdded 2026/08/17+3% in starsRepository updated 2026/08/17

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Install in seconds

Install cuPyNumeric Install

Copy cuPyNumeric Install into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/NVIDIA/skills/tree/main/skills/cupynumeric-install ~/.claude/skills/cupynumeric-install

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/cupynumeric-install/SKILL.md in NVIDIA/skills
Installs to: ~/.claude/skills/cupynumeric-install
Collection: One of 25 skills cataloged from this repository
Category: DevOps — 798 skills

What cuPyNumeric Install does

cuPyNumeric Install helps set up and verify the cuPyNumeric Python library via conda or pip, including GPU usage checks. Use it when someone needs cuPyNumeric running in an isolated environment on Linux or WSL.

cuPyNumeric Install is cataloged under DevOps on DirSkills. cuPyNumeric Install comes from a repository tagged agent-skills, agentic-ai, ai-agents, claude-code and codex.

Documentation

README

Excerpt

cuPyNumeric Install (user)

Purpose

Use this skill to install cuPyNumeric for use from Python and to verify the install actually works (including GPU usage). Apply it whenever a user wants cuPyNumeric running via conda or pip. Do not use it to build from source (to modify or contribute) — that is out of scope.

Mandatory rules

Never run installs. Do not run pip install, conda install, or any installer. Print the command; let the user run it.
Always isolate. No installs into base conda, system Python, or shared global envs.
Detect before recommending. Read-only --version checks are fine.

Prerequisites

Confirm these system requirements before recommending any install:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about cuPyNumeric Install

What else does NVIDIA publish alongside cuPyNumeric Install?
cuPyNumeric Install is one of 25 skills that DirSkills catalogs from NVIDIA/skills, the repository it ships in. Its siblings there include AIQ Deploy, AIQ Research and AMC RTSP Calibration. Each one is a separate skill with its own page in this directory, installs the same way cuPyNumeric Install does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.
How does cuPyNumeric Install compare to other DevOps skills?
cuPyNumeric Install ranks #226 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of cuPyNumeric Install against them. Open each page to compare what they document and how they install.