matlab-setup-gpu

npx skills add matlab/matlab-agentic-toolkit --skill matlab-setup-gpu --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Set Up GPU for MATLAB Detect whether a compatible GPU is available, validate it works, and diagnose common failure modes. ## When to Use - User wants to check if their system can run GPU code in MATLAB - User gets errors when calling `gpuDevice` or `gpuArray` - User wants to set up or select a specific GPU in a multi-GPU system - User needs to troubleshoot why GPU computing isn't working - As a prerequisite check before any GPU-accelerated workflow ## When NOT to Use - Writing or optimizing GPU-accelerated code — this skill only detects and diagnoses GPU availability - Monitoring GPU memory or utilization during computation — use `gpuDevice` properties directly or NVIDIA tools - Distributing work across multiple GPUs with parallel pools — use `parpool` workflows ## Conventions - Use MATLAB-native APIs (`canUseGPU`, `gpuDeviceTable`, `gpuDevice`) for detection and properties — reserve `nvidia-smi` for information MATLAB cannot provide - Prefer `canUseGPU` over `gpuDeviceCount == 0` or `isempty(gpuDeviceTable)` for availability checks — `canUseGPU` also verifies licensing and toolbox state - If recommending a driver update, fetch the **GPU Computing Requirements** documentation pag