Individual skill

cuda

Use when writing CUDA kernels, managing the thread, block, and grid hierarchy, tiling shared memory, using streams, setting nvcc flags, or using Thrust. Not for kernel debugging: use cuda-debugging.

.devin/skills/cuda/SKILL.md

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Last checked: Nov 4, 2026

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Repository stars (not skill ratings): 55
Repository last updated: Sep 28, 2026
License: Apache-2.0

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# CUDA

## Contract

| Field | Bound contract |
|---|---|
| Trigger | CUDA C or C++ kernel code is being written, optimized, or reviewed: launch configuration, memory hierarchy, streams, nvcc flags, Thrust, or known performance traps such as warp divergence and uncoalesced access. |
| Authority | Read-only. The skill emits guidance and code; it writes no files. Nothing to roll back. No remote mutation. |
| Side effect | Guidance, code samples, and flag recommendations in chat output. |
| Done | A launch configuration, memory plan, build command, and pitfall review exist for the kernel in question, each grounded in the toolkit version the project pins. |

## Inputs

1. Kernel goal (required): the operation to move to the GPU, or the existing kernel under review.