Graphsignal
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
Write Metal/MPS kernels for PyTorch operators. An agent skill from pytorch/pytorch.
Install Metal Kernel
$ npx skills add pytorch/pytorch --skill metal-kernel -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pytorch/pytorch metal-kernel --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/pytorch/pytorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/metal-kernel .claude/skills/metal-kernel && 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 "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .claude/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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/pytorch/pytorch/tree/main/.agents/skills/metal-kernelType 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 pytorch/pytorch --skill metal-kernel -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pytorch/pytorch metal-kernel --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/metal-kernel .agents/skills/metal-kernel && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .agents/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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 pytorch/pytorch --skill metal-kernel -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pytorch/pytorch metal-kernel --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/metal-kernel .cursor/skills/metal-kernel && 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 "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .cursor/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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/pytorch/pytorch.git --path .agents/skills/metal-kernel--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 pytorch/pytorch --skill metal-kernel -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pytorch/pytorch metal-kernel --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/metal-kernel .gemini/skills/metal-kernel && 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 "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .gemini/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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 pytorch/pytorch metal-kernelInstalls 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 pytorch/pytorch --skill metal-kernel -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/metal-kernel .github/skills/metal-kernel && 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 "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .github/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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 pytorch/pytorch --skill metal-kernel -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pytorch/pytorch metal-kernel --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/metal-kernel .opencode/skills/metal-kernel && 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 "metal-kernel" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/metal-kernel into .opencode/skills/metal-kernel/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metal-kernel", 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.
Facts
- Skill name
metal-kernel- GitHub stars
- 104k
- Token cost
- ~4.9k tokens
- SKILL.md length
- 1,508 words
- Files
- 1
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Write Metal/MPS kernels for PyTorch operators. An agent skill from pytorch/pytorch.
- Works in 4 steps: Update native_functions.yaml → Implement Metal Kernel → Implement Host-Side Stub → …
- Adding MPS device support to operators
- SKILL.md covers Overview, Step 1: Update…, Step 2: Implement Metal Kernel and Step 3: Implement Host-Side Stub, plus 6 more sections
- Calls python
What it does
Metal Kernel is an agent skill from pytorch/pytorch. Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers nativefunctions.yaml dispatch, host-side operators, and Metal kernel implementation.
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Deep learning, GPU and accelerator computing and Shaders. It works with PyTorch and CUDA. The repository describes itself as: Tensors and Dynamic neural networks in Python with strong GPU acceleration.
When your agent uses it
- Adding MPS device support to operators
- Implementing Metal shaders
- Porting CUDA kernels to Apple Silicon
Example prompts
- “/metal-kernel”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Update native_functions.yaml
- Implement Metal Kernel
- Implement Host-Side Stub
- Compile
What it can do on your machine
Read from SKILL.md and the folder at commit 84af535. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Metal Kernel loads about 4.9k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 1,508 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,508 words (~4,949 tokens).
“This skill guides you through implementing Metal kernels for PyTorch operators on Apple Silicon.”
- name
- metal-kernel
Files
Just SKILL.md in .agents/skills/metal-kernel of pytorch/pytorch.
Open the folder on GitHubat commit 84af535
Compare with similar skills
Metal Kernel 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 |
|---|---|---|---|---|---|---|
| Metal Kernel this skillpytorch/pytorch | 104k | — | ~4.9k | Automated safety check: Pass | Custom licence | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| Pytorch Profile Analysislucifer1004/VeloQ | 127 | — | ~1.3k | Automated safety check: Pass | MIT | |
| At Dispatch V2intel/torch-xpu-ops | 115 | 3 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Hyperpod Version Checkerawslabs/agent-plugins | 912 | 1 repos | ~910 | Automated safety check: Pass | Apache-2.0 | |
| Magpie Kernel Evaluatoramd/skills | 395 | — | ~2.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Metal Kernel
What does Metal Kernel do?
Write Metal/MPS kernels for PyTorch operators. An agent skill from pytorch/pytorch. Metal Kernel is an agent skill from pytorch/pytorch. Write Metal/MPS kernels for PyTorch operators.
When should I use Metal Kernel?
Metal Kernel fits situations like: adding MPS device support to operators; implementing Metal shaders; porting CUDA kernels to Apple Silicon.
How do I install Metal Kernel in Claude Code?
Run `npx skills add pytorch/pytorch --skill metal-kernel -a claude-code`. Or copy the skill folder (.agents/skills/metal-kernel in pytorch/pytorch) into .claude/skills/metal-kernel in your project. Claude Code loads it when a task matches its description.
How do I install Metal Kernel in Codex?
Run `npx skills add pytorch/pytorch --skill metal-kernel -a codex`. Or copy the skill folder (.agents/skills/metal-kernel in pytorch/pytorch) into .agents/skills/metal-kernel in your project. Codex loads it when a task matches its description.
Can I use Metal Kernel in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pytorch/pytorch --skill metal-kernel -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metal-kernel, .gemini/skills/metal-kernel, .github/skills/metal-kernel and .opencode/skills/metal-kernel in your project.
What does Metal Kernel need to run?
Going by SKILL.md and its folder, Metal Kernel needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Metal Kernel access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Metal Kernel safe to install?
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.
What licence does Metal Kernel use?
Metal Kernel has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Metal Kernel use?
About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Metal Kernel?
Skills that share tags, products or a category with Metal Kernel: Graphsignal (graphsignal/graphsignal, 257 stars), Pytorch Profile Analysis (lucifer1004/VeloQ, 127 stars), At Dispatch V2 (intel/torch-xpu-ops, 115 stars) and Hyperpod Version Checker (awslabs/agent-plugins, 912 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metal Kernel?
pytorch (a GitHub organization) maintains it in pytorch/pytorch, which has 103,819 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.
Source: pytorch/pytorch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.