Add Uint Support
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
A skill your agent uses when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release.
$ npx skills add intel/torch-xpu-ops --skill release-branching -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install intel/torch-xpu-ops release-branching --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/intel/torch-xpu-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/release-branching .claude/skills/release-branching && 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 "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .claude/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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/intel/torch-xpu-ops/tree/main/.claude/skills/release-branchingType 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 intel/torch-xpu-ops --skill release-branching -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install intel/torch-xpu-ops release-branching --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/release-branching .agents/skills/release-branching && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .agents/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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 intel/torch-xpu-ops --skill release-branching -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install intel/torch-xpu-ops release-branching --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/release-branching .cursor/skills/release-branching && 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 "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .cursor/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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/intel/torch-xpu-ops.git --path .claude/skills/release-branching--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 intel/torch-xpu-ops --skill release-branching -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install intel/torch-xpu-ops release-branching --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/release-branching .gemini/skills/release-branching && 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 "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .gemini/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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 intel/torch-xpu-ops release-branchingInstalls 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 intel/torch-xpu-ops --skill release-branching -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/release-branching .github/skills/release-branching && 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 "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .github/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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 intel/torch-xpu-ops --skill release-branching -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install intel/torch-xpu-ops release-branching --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/release-branching .opencode/skills/release-branching && 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 "release-branching" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/release-branching into .opencode/skills/release-branching/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "release-branching", 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.
release-branchingA skill your agent uses when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release.
Release Branching is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Use when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release. Covers branch creation, release tracker issue, workflow default changes PR, and tracker comment.
Its SKILL.md is about 1.4k 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. It works with PyTorch. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a033aa5. 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.
Shell commands in SKILL.md call:
ghgitFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comFrom 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.
Release Branching loads about 1.4k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 339 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 intel/torch-xpu-ops at commit a033aa5, republished under its Apache-2.0 licence (© intel). 339 words, ~1,423 tokens.
.claude/skills/release-branching/SKILL.md (or your agent's skills folder).Set up torch-xpu-ops for a new PyTorch release cycle: create the release branch, open the tracker issue, submit the workflow-defaults PR, and post the initial tracker comment.
Invocation: /xpu-release-branching release/X.Y
Given release/2.12:
BRANCH = release/2.12MAJOR_MINOR = 2.12VERSION = v.2.12.0Confirm the pytorch release branch exists and locate the release tracker issue:
# Branch must exist
gh api repos/pytorch/pytorch/branches/release/MAJOR_MINOR --jq '.name'
# Find the pytorch release tracker issue
gh issue list -R pytorch/pytorch -s all \
--search "[v.MAJOR_MINOR.0] Release Tracker in:title" \
--json number,title,url -L 1Read the pytorch release tracker issue body to extract:
These dates are needed for the torch-xpu-ops tracker issue.
Get the pinned commit from pytorch's release branch and create the torch-xpu-ops branch from it. If the branch already exists (e.g. retrying after a partial failure), skip this step and verify the branch directly.
# Get the pinned torch-xpu-ops commit on the pytorch release branch
PINNED=$(gh api repos/pytorch/pytorch/contents/third_party/xpu.txt \
--jq '.content' -H 'Accept: application/vnd.github.v3+json' \
-f ref=release/MAJOR_MINOR | base64 -d | tr -d '[:space:]')
# Create the release branch at that commit
gh api repos/intel/torch-xpu-ops/git/refs -f ref=refs/heads/release/MAJOR_MINOR -f sha=$PINNEDVerify the branch was created:
gh api repos/intel/torch-xpu-ops/branches/release/MAJOR_MINOR --jq '.name'Create a milestone PTMAJOR_MINOR in torch-xpu-ops if it does not exist yet:
# Check if milestone exists; create if not
gh api repos/intel/torch-xpu-ops/milestones --jq '.[] | select(.title == "PTMAJOR_MINOR") | .title' \
|| gh api repos/intel/torch-xpu-ops/milestones -f title="PTMAJOR_MINOR" -f state=openOpen the tracker issue with this exact body template:
Title: [VERSION] Release Tracker
Milestone: PTMAJOR_MINORIssue body (replace placeholders):
We cut a [release branch](https://github.com/intel/torch-xpu-ops/tree/BRANCH) for the MAJOR_MINOR.0 release.
Our plan from this point is roughly:
- Phase 1 (until <PHASE1_DEADLINE>): work on finalizing the release branch
- Phase 2 (after <PHASE2_START>): perform extended integration/stability/performance testing based on Release Candidate builds.
This issue is for tracking cherry-picks to the release branch.
Refer <PYTORCH_TRACKER_URL>Where:
<PHASE1_DEADLINE> / <PHASE2_START> come from the pytorch tracker (Step 1)<PYTORCH_TRACKER_URL> is https://github.com/pytorch/pytorch/issues/<NUMBER>gh issue create -R intel/torch-xpu-ops \
--title "[VERSION] Release Tracker" \
--milestone "PTMAJOR_MINOR" \
--body "$(cat <<'EOF'
<body from template above>
EOF
)"Record the created issue number for Step 5.
This PR changes the default branch parameters in workflow files from main
to BRANCH.
git fetch origin BRANCH
git checkout -b release_MAJOR_MINOR_change origin/BRANCH(Branch naming convention: release_X.Y_change, e.g. release_2.12_change)
Two files need updating — .github/workflows/_linux_build.yml and
.github/workflows/_windows_ut.yml:
For each file, change the pytorch and torch_xpu_ops input defaults:
# Before
pytorch:
...
default: 'main'
description: Pytorch main by default, ...
torch_xpu_ops:
...
default: 'main'
description: Torch-xpu-ops main by default, ...
# After
pytorch:
...
default: 'BRANCH'
description: Pytorch BRANCH by default, ...
torch_xpu_ops:
...
default: 'BRANCH'
description: Torch-xpu-ops BRANCH by default, ...Only change the default value and update main to BRANCH in the
description string. Do not touch any other fields.
git add .github/workflows/_linux_build.yml .github/workflows/_windows_ut.yml
git commit -m "[RELEASE MAJOR_MINOR] Release only changes"
git push origin release_MAJOR_MINOR_changegh pr create -R intel/torch-xpu-ops \
--base BRANCH \
--head release_MAJOR_MINOR_change \
--title "[RELEASE MAJOR_MINOR] Release only changes"No description body is needed.
Post the cherry-pick tracking comment on the torch-xpu-ops tracker issue created in Step 3:
gh issue comment <ISSUE_NUMBER> -R intel/torch-xpu-ops --body "$(cat <<'EOF'
Link to landed trunk PR (if applicable):
* NA
Link to release branch PR:
* <PR_URL>
Criteria Category:
* Release only changes
EOF
)"Where <PR_URL> is the URL from Step 4d.
© intel, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/release-branching of intel/torch-xpu-ops.
Open the folder on GitHubat commit a033aa5
Release Branching 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 |
|---|---|---|---|---|---|---|
| Release Branching this skillintel/torch-xpu-ops | 115 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Add Torch Shapes Examplefacebook/pyrefly | 7.1k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Interview Cheatsheetwanshuiyin/ARIS-in-AI-Offer | 580 | 1 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Ghstack CIpytorch/pytorch | 104k | — | ~1.4k | Automated safety check: Pass | Custom licence |
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
facebook/pyrefly
A skill your agent uses when adding a new PyTorch model to Pyrefly's shape-tracking example corpus under tensor-shapes/pyrefly-torch-stubs/examples — i.e.
wanshuiyin/ARIS-in-AI-Offer
Generate a long-form Chinese interview-prep cheat sheet on a specific ML/LLM topic — formulas with derivations, from-scratch PyTorch code, comparison tables, and 25 高频面试题 (L1 必会 / L2 进阶 / L3 顶级 lab).
pytorch/pytorch
Manage CI for PyTorch ghstack stacks by running CI where its results are useful now and deferring other PRs with [no-ci].
open-infra-skills/infra-skills
Profiles, benchmarks and tunes AI training workloads on Moore Threads MUSA GPUs with a measurement-first process that keeps model behavior unchanged.
intel/torch-xpu-ops
Select the Intel GPU device to use when a system has multiple Intel GPU devices.
intel/torch-xpu-ops
Check PyTorch ciflow/xpu (xpu.yml) on the main branch, collect the failing XPU test cases from the most recent completed run(s), analyze the ROOT CAUSE of each failure with AI, and produce a list…
intel/torch-xpu-ops
Convert PyTorch ATDISPATCH macros to ATDISPATCHV2 format in ATen C++ code.
intel/torch-xpu-ops
Review pull requests for XPU operator or backend code. An agent skill from intel/torch-xpu-ops.
intel/torch-xpu-ops
Guide users through creating Agent Skills for Claude Code. An agent skill from intel/torch-xpu-ops.
intel/torch-xpu-ops
Read the evidence a nightly UT run produced, decide which failures share a root cause and which are machine breakage rather than product bugs, and write one issue draft per root cause to drafts.json.
Works with
Categories
A skill your agent uses when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release. Release Branching is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Use when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release.
Release Branching fits situations like: setting up a new torch-xpu-ops release branch corresponding to a PyTorch release; tasks that involve Deep learning.
Run `npx skills add intel/torch-xpu-ops --skill release-branching -a claude-code`. Or copy the skill folder (.claude/skills/release-branching in intel/torch-xpu-ops) into .claude/skills/release-branching in your project. Claude Code loads it when a task matches its description.
Run `npx skills add intel/torch-xpu-ops --skill release-branching -a codex`. Or copy the skill folder (.claude/skills/release-branching in intel/torch-xpu-ops) into .agents/skills/release-branching 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 intel/torch-xpu-ops --skill release-branching -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release-branching, .gemini/skills/release-branching, .github/skills/release-branching and .opencode/skills/release-branching in your project.
Going by SKILL.md and its folder, Release Branching needs the command-line tools its instructions call (gh and git).
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. 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.
Release Branching is published under the Apache-2.0 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 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Release Branching: Add Uint Support (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars) and Interview Cheatsheet (wanshuiyin/ARIS-in-AI-Offer, 580 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
intel (a GitHub organization, an official publisher) maintains it in intel/torch-xpu-ops, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.
Source: intel/torch-xpu-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.