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Commits, branches and sync with the but CLI
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Use this resource to write and optimize CUDA kernels for NVIDIA GPUs
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In a terminal, from the folder you want:
npx --yes palatekit@latest install cuda-kernel-programmingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent helps you set the launch configuration, organize memory accesses and use asynchronous streams. It also gives the nvcc options for your target and the basics of the Thrust library.
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Updated November 2, 2026
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“Write a CUDA sum reduction kernel with shared memory for an array of 10 million floats.”

Skill published by mohitmishra786 under the MIT license, delivered in its original version.
Listed unmodified
« cuda » (mohitmishra786, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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