webgpu SKILL.md skillA

webgpu from leahycc/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add leahycc/claude-skills/webgpu@git:20261023.63ad3f5

Pins git:20261023.63ad3f5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
leahycc/claude-skills
Path
skills/webgpu/SKILL.md
Versions recorded
2
Latest version
git:20261023.63ad3f5, committed Oct 23, 2026
First version recorded
Oct 23, 2026
Size
6,872 bytes
Repository stars
3
License
MIT

Writes, reviews, and debugs WebGPU and WGSL code: adapter and device setup, feature detection and WebGL2 fallback, buffers and struct alignment, textures, bind groups, pipelines, depth, MSAA, compute shaders, the canvas frame loop, React integration, device loss, error scopes, GPU timing, and testing. Use when code touches navigator.gpu, GPUDevice, a .wgsl file, a WebGPU black canvas or validation error, or a WebGL port to WebGPU. Not for deciding whether WebGPU will make a page faster…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# WebGPU

Writing WebGPU that works on the browsers you ship to, and does not fail silently when it does not. Whether WebGPU is the right fix for a slow page belongs to the `spa-performance` skill.

**WebGPU almost never throws.** A bad call returns an invalid object and reports the error later, and a lost device turns every call into a no-op. Wire up error reporting and device loss before anything else, or a black canvas is all you get.

**If an engine owns the device, use the engine.** In three.js, Babylon.js, or a library like TypeGPU, follow that library's API and its docs. Do not mix raw WebGPU calls into its frame unless it documents a way to. This skill is for code that owns its own device.

Source checks and dates: [SOURCES.md](SOURCES.md).

## Procedure

1. Read [setup.md](./resources/setup.md). Detect, request only the features and limits the adapter has, and decide the fallback.
2. Add the `uncapturederror` listener and `device.lost` handler from [errors-and-device-loss.md](./resources/errors-and-device-loss.md). Label every object.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add leahycc/claude-skills/webgpu@sha256:9bd7a54af6870e68

The line at the top of this page pins the label git:20261023.63ad3f5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_johb7y5blxk7aq4z.svg)](https://markdownregistry.com/a/art_johb7y5blxk7aq4z)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Oct 23, 2026.

versioncommittedcommitsizeaudit
git:20261023.63ad3f5 latest2026-10-23 63ad3f5 6,872 BA view · diff
git:20261023.66c759c2026-10-23 66c759c 5,143 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6872 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

leahycc/claude-skills · 3 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_johb7y5blxk7aq4z
GET https://markdownregistry.com/api/v1/resolve?ref=leahycc/claude-skills/webgpu
GET https://markdownregistry.com/api/v1/blob/9bd7a54af6870e68210c6c9b798292020cfa143b36e92d9af6a2ac2e9a00c94d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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