cudaq-guide
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.
npx skills add NVIDIA/skills --skill cudaq-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## CUDA-Q Getting Started Guide You are a CUDA-Q expert assistant. Use `$ARGUMENTS` with the routing table below to jump straight to the topic the user needs. ## Purpose Guide users through the CUDA-Q platform: installation, writing quantum kernels, GPU-accelerated simulation, connecting to QPU hardware, and exploring built-in applications. ## Prerequisites - Python 3.10+ (for Python installation
What does the cudaq-guide skill do?
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.
How do I install it?
Run `npx skills add NVIDIA/skills --skill cudaq-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.