cudaq-guide

by NVIDIA3.6k

Developer Tools

Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

Install

The skill file stays in the publisher's repository.

Paste the copied command in a terminal. It installs this SKILL.md into that agent.

npx skills add NVIDIA/skills --skill cudaq-guide -a cursor -y

Download skill skills/cudaq-guide/SKILL.md on GitHub

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Questions

How do I install cudaq-guide?: Download skills/cudaq-guide/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does cudaq-guide live?: The publisher keeps it at https://github.com/NVIDIA/skills.
Which agents can use cudaq-guide?: Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.

name: "cudaq-guide" title: "CUDA-Q Guide" description: "Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance." version: "1.1.2" author: "CUDA-Q Team [email protected]" tags: [cuda-quantum, quantum-computing, onboarding, getting-started, authoring, kernels, nvidia] tools: [Read, Glob, Grep] license: "Apache-2.0" compatibility: "Python 3.10+, C++ 20" metadata: author: "CUDA-Q Team [email protected]" tags: - cuda-quantum - quantum-computing - onboarding - getting-started - nvidia languages: - python - c++ domain: "quantum"

CUDA-Q Guide

Purpose

Guide users through CUDA-Q installation, basic kernels, GPU simulation targets, QPU access, built-in applications, multi-GPU execution, and Python authoring. For Qiskit-to-CUDA-Q ports, route to the skill instead.

Argument	Action	Reference
`install`	Walk through Python or C++ installation and validation.	references/onboarding.md
`test-program`	Build and run a Bell-state kernel.	references/onboarding.md
`gpu-sim`	Select GPU, multi-GPU, tensor-network, or CPU targets.	references/onboarding.md
`qpu`	Guide provider selection and credential-safe QPU setup.	references/onboarding.md
`applications`	Summarize CUDA-Q application areas and notebooks.	references/onboarding.md
`parallelize`	Choose `mgpu`, `mqpu`, async dispatch, or distributed observe.	references/onboarding.md
`author`	Author CUDA-Q Python kernels, select execution APIs, and debug compiler issues.	references/authoring.md
(none)	Print the menu below and ask which topic to explore.	This file

cudaq-guide

Install

Related skills

Questions

CUDA-Q Guide

Purpose

Prerequisites

Instructions

Routing by Argument

Menu

Reference Files

Limitations

Troubleshooting