Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Ground any answer about the webgpu-utils library (greggman/webgpu-utils) in its actual API before responding.
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oframe/ogpu webgpu-utils-lookup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .claude/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .claude/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oframe/ogpu webgpu-utils-lookup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .agents/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .agents/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oframe/ogpu webgpu-utils-lookup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .cursor/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .cursor/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/oframe/ogpu.git --path .claude/skills/webgpu-utils-lookup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oframe/ogpu webgpu-utils-lookup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .gemini/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .gemini/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install oframe/ogpu webgpu-utils-lookupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .github/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .github/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add oframe/ogpu --skill webgpu-utils-lookup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oframe/ogpu webgpu-utils-lookup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oframe/ogpu.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/webgpu-utils-lookup .opencode/skills/webgpu-utils-lookup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "webgpu-utils-lookup" agent skill from https://github.com/oframe/ogpu/tree/main/.claude/skills/webgpu-utils-lookup into .opencode/skills/webgpu-utils-lookup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webgpu-utils-lookup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
webgpu-utils-lookupGround any answer about the webgpu-utils library (greggman/webgpu-utils) in its actual API before responding.
Webgpu Utils Lookup is an agent skill from oframe/ogpu. Ground any answer about the webgpu-utils library (greggman/webgpu-utils) in its actual API before responding. Use whenever a question or task touches a webgpu-utils function, class, or option — makeShaderDataDefinitions, makeStructuredView, createBuffersAndAttributesFromArrays, createTextureFromImage(s)/Source(s), generateMipmap, primitives., setStructuredView, the reflected uniform/storage views, bind-group-layout generation, attribute/buffer creation, mip generation, or anything imported from 'webgpu-utils'. In…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/trigger-eval.json` and `references/api-map.md`).
It sits in Development. The repository describes itself as: Minimal WebGPU Library. The licence is Unlicense.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 65e0a1a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comgreggman.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Webgpu Utils Lookup loads about 1.4k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 216 tokens; SKILL.md has 618 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from oframe/ogpu at commit 65e0a1a, republished under its Unlicense licence (© oframe). 618 words, ~1,382 tokens.
.claude/skills/webgpu-utils-lookup/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.webgpu-utils is small but full of non-obvious behavior: functions that mutate a
passed-in view in place, reflection that keys uniforms by declared name, helpers
that silently pick a texture view dimension for you, options whose defaults
matter (mips, usage, viewDimension). Memory of "roughly how it works" is
exactly where wrong answers come from — a misremembered option name or a stale
signature compiles fine and then breaks at runtime with no error. The cost of
checking is a few seconds; the cost of guessing is a silent garbage texture or a
buffer written to the wrong offset. So check first.
This codebase pins webgpu-utils 1.11.0 (dist/1.x). The installed copy is
the ground truth for this project — prefer it over anything you recall or find
online, because online docs track latest and may have drifted.
Local types — authoritative for the installed version. The .d.ts files
carry full signatures, option-object shapes, defaults, and the doc-comments
(often with usage examples). Read these first:
node_modules/webgpu-utils/dist/1.x/<module>.d.ts references/api-map.md maps every exported symbol to its .d.ts module so
you can jump straight to the right file.
Local implementation — when behavior isn't clear from the type alone. Questions like "does it mutate the argument or return a copy?", "what does it default the format to?", "how does it decide cube vs 2d-array?" are answered by reading the compiled source:
node_modules/webgpu-utils/dist/1.x/webgpu-utils.module.js It's readable ES — grep -n 'function <name>' to find the definition.
GitHub repo — for rationale, latest source, history, issues. Use when the
local copy doesn't settle it, when the user asks about a version newer than
1.11.0, or when "why does it do this" needs the original TypeScript / commit
context: https://github.com/greggman/webgpu-utils (source under src/,
one file per module mirroring the .d.ts names). Fetch with WebFetch.
Typedoc site — human-readable index / cross-links. Good for browsing the API surface or linking the user somewhere: https://greggman.github.io/webgpu-utils/docs/. Fetch with WebFetch.
You do not need to walk all four every time. Stop at the first level that answers the question authoritatively — for a signature, level 1 alone is usually enough; reach for the repo/site only when local source can't answer it (design intent, newer versions, changelog).
.d.ts you just read — exact option names, exact defaults. If you
paraphrase, say so.RenderPipeline → makeShaderDataDefinitions + makeStructuredView;
Geometry → createBuffersAndAttributesFromArrays; Texture/IBLUtils →
texture + mip helpers). When a question is really "how do I do X in OGPU",
check how the wrapper already uses the helper (src/core/, src/utils/)
before reaching for the raw call — the convention may already exist. The
reflection-by-name rules (uniform block named uniforms, vs/fs entry
points, t<Name> texture prefix) are OGPU conventions layered on top of the
library's name-keyed reflection — see CLAUDE.md.Most OGPU questions land in one of these; know where they live.
WGSL reflection & structured writes (data-definitions.d.ts):
makeShaderDataDefinitions(code) parses WGSL into defs;
makeStructuredView(def, buffer?) builds a typed view whose .set({...})
writes by field name into an ArrayBuffer; setStructuredView/
setStructuredValues write into an existing view;
makeBindGroupLayoutDescriptors derives layouts. This is how every pipeline's
uniforms get written — name mismatches fail silently, so verify field names
against the struct.
Geometry / vertex buffers (attribute-utils.d.ts):
createBuffersAndAttributesFromArrays packs arrays into GPU buffers and emits
bufferLayouts; @location is assigned by declaration order in the input
object, not by name. Confirm order before trusting a binding.
For the full symbol → module table and the texture/mipmap/primitives groups, see
references/api-map.md.
© oframe, Unlicense. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .claude/skills/webgpu-utils-lookup of oframe/ogpu.
Open the folder on GitHubat commit 65e0a1a
Webgpu Utils Lookup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Webgpu Utils Lookup this skilloframe/ogpu | 151 | — | ~1.4k | Automated safety check: Pass | Unlicense | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
oframe/ogpu
Scaffold a new simple WGSL shader for the OGPU engine, wired for a RenderPipeline + Mesh.
oframe/ogpu
Scaffold a new OGPU example/app from scratch — a Renderer + Camera + Orbit + update loop and a single spinning cube wired through the vanilla Box primitive - RenderPipeline - Mesh setup.
oframe/ogpu
Get naga WGSL validation working in a repo — installs the naga/jq toolchain, a PostToolUse hook that compiles every .wgsl on write, and a batch validate-shaders script, so shader checking then…
oframe/ogpu
Ground any answer about the WebGPU platform itself — browser support/compatibility, feature availability, limits, what's shipping or behind a flag, and exact spec behavior — in the live Chrome…
oframe/ogpu
Fold PBR/IBL shading into a RenderPipeline in the OGPU engine.
oframe/ogpu
Fold real-time shadow mapping into an existing RenderPipeline/shader in the OGPU engine.
Categories
Ground any answer about the webgpu-utils library (greggman/webgpu-utils) in its actual API before responding. Webgpu Utils Lookup is an agent skill from oframe/ogpu. Ground any answer about the webgpu-utils library (greggman/webgpu-utils) in its actual API before responding.
Webgpu Utils Lookup fits situations like: task touches a webgpu-utils function; option — makeShaderDataDefinitions; makeStructuredView; createBuffersAndAttributesFromArrays.
Run `npx skills add oframe/ogpu --skill webgpu-utils-lookup -a claude-code`. Or copy the skill folder (.claude/skills/webgpu-utils-lookup in oframe/ogpu) into .claude/skills/webgpu-utils-lookup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add oframe/ogpu --skill webgpu-utils-lookup -a codex`. Or copy the skill folder (.claude/skills/webgpu-utils-lookup in oframe/ogpu) into .agents/skills/webgpu-utils-lookup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add oframe/ogpu --skill webgpu-utils-lookup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/webgpu-utils-lookup, .gemini/skills/webgpu-utils-lookup, .github/skills/webgpu-utils-lookup and .opencode/skills/webgpu-utils-lookup in your project.
SKILL.md names no scripts, command-line tools or credentials: Webgpu Utils Lookup is instructions for the agent only.
SKILL.md names 2 domains. As links in the text: github.com and greggman.github.io. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Webgpu Utils Lookup is published under the Unlicense licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Webgpu Utils Lookup: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
oframe (a GitHub organization) maintains it in oframe/ogpu, which has 151 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 26, 2026.
Source: oframe/ogpu on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.