NVIDIA/CUDA-Q/cudaq-guide
VerifiedOfficial NVIDIA guide teaching AI agents to use CUDA Quantum effectively.
What is NVIDIA/CUDA-Q/cudaq-guide?
The cudaq-guide skill is an NVIDIA-verified instruction set that helps AI agents interact correctly with CUDA Quantum tools and workflows.
It works by being installed into supported agents through a CLI, after which the agent automatically applies the guidance when handling relevant quantum computing tasks.
It targets developers and teams building or testing quantum applications who want agents to follow official NVIDIA practices for installation, simulation, and hardware interaction.
Capabilities
What you can build with NVIDIA/CUDA-Q/cudaq-guide
Agent-assisted CUDA-Q setup
Guides agents through correct installation steps and initial test program execution on GPU simulators.
Quantum application development
Helps agents write and run sample programs that target both simulation and real QPU hardware.
Standardized onboarding
Provides consistent, verified instructions so agents avoid common configuration errors when starting new CUDA-Q projects.
Install NVIDIA/CUDA-Q/cudaq-guide
npx skills add nvidia/skills --skill cudaq-guide --yesnpx skills add nvidia/skills- 1Run npx skills add nvidia/skills to start the installer.
- 2Select the cudaq-guide skill from the catalog when prompted.
- 3Choose the target agent such as Claude Code or Cursor if needed.
- 4Confirm installation and wait for the skill to become active.
- 5Ask the agent to perform a CUDA-Q task like running a test program to verify guidance.
Works with
NVIDIA/CUDA-Q/cudaq-guide: pros & cons
Pros
- +Created and maintained by NVIDIA for accuracy
- +Works across multiple popular AI coding agents
- +Covers the full onboarding path from install to hardware use
- +Updated automatically from official product repositories
Cons
- –Depends on the external skills CLI being available
- –Only useful inside agents that support the skills format
- –Requires internet access for the initial npx installation step
Frequently asked questions
It contains step-by-step instructions for CUDA-Q installation, running test programs, GPU simulation, and connecting to QPU hardware.
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