CUDA-Q Guide

CUDA-Q Guide 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 CUDA-Q Guide

Copy CUDA-Q Guide 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/cudaq-guide ~/.claude/skills/cudaq-guide

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

What CUDA-Q Guide does

CUDA-Q Guide walks users through installing CUDA-Q, writing quantum kernels, GPU-accelerated simulation, connecting to QPU hardware, and exploring built-in quantum applications.

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

Documentation

README

Excerpt

Python 3.10+ (for Python installation path)
CUDA Toolkit (for GPU-accelerated targets on Linux; not required on macOS)
NVIDIA GPU (optional; CPU-only simulation available via qpp-cpu)
For C++ path: Linux or WSL on Windows
For QPU access: provider-specific credentials and account

Instructions

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

Commands CUDA-Q Guide provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/cudaq-guide
/cudaq-compiler

Frequently asked about CUDA-Q Guide

What else does NVIDIA publish alongside CUDA-Q Guide?
CUDA-Q Guide 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 CUDA-Q Guide does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.
How does CUDA-Q Guide compare to other DevOps skills?
CUDA-Q Guide ranks #222 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 CUDA-Q Guide against them. Open each page to compare what they document and how they install.