重要前提
安装AI Skills的关键前提是:必须科学上网,且开启TUN模式,这一点至关重要,直接决定安装能否顺利完成,在此郑重提醒三遍:科学上网,科学上网,科学上网。查看完整安装教程 →
npx skills add https://github.com/gfx-rs/wgpu --skill webgpu-specs运行 sh .claude/skills/webgpu-specs/download.sh 以下载 WebGPU 和 WGSL 规范(如果它们不存在或已更新)。运行脚本前无需更改目录。
规范下载完成后,您可以在 target/claude/webgpu-spec.bs 和 target/claude/wgsl-spec.bs 中搜索规范的相关章节。
引用规范时,请优先使用命名锚点而非行号。例如,要引用具有以下标题的"对象描述符"章节:
### Object Descriptors ### {#object-descriptors}
请使用 URL https://gpuweb.github.io/gpuweb/#object-descriptors,以便用户可以直接点击导航至该章节。
对于 WGSL 规范,基础 URL 是 https://gpuweb.github.io/gpuweb/wgsl/。
如有必要,请从文件中读取更多内容以找到您想要引用的文本之前的标题。您可以提供行号作为额外上下文,但务必尽力为用户提供可点击的链接。
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2026年2月3日
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Run sh .claude/skills/webgpu-specs/download.sh to download the WebGPU and WGSL specifications if they are not present or if they have been updated. You do not need to change directory before running the script.
After the specs are downloaded, you can search in target/claude/webgpu-spec.bs and target/claude/wgsl-spec.bs for relevant sections of the specification.
When referencing the specifications, prefer to use named anchors rather than line numbers. For example, to reference the "Object Descriptors" section, which has the following header:
### Object Descriptors ### {#object-descriptors}
Use the URL https://gpuweb.github.io/gpuweb/#object-descriptors so the user can click to navigate directly to that section.
For the WGSL specification, the base URL is https://gpuweb.github.io/gpuweb/wgsl/.
If necessary, read additional content from the file to find the header preceding the text you want to reference. You may provide line numbers as additional context, but always make every effort to provide the user with a clickable link.
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