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Agent skill

Add Uint Support

by pytorch in pytorch/pytorch

Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.

Custom licenceAuto-check passedAI & LLM Engineering

Install Add Uint Support

skills CLI
$ npx skills add pytorch/pytorch --skill add-uint-support -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install pytorch/pytorch add-uint-support --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-uint-support .claude/skills/add-uint-support && rm -rf skills-src

Use ~/.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/

Facts

Skill name
add-uint-support
GitHub stars
104k
Used in
2 other repos
Token cost
~2.3k tokens
SKILL.md length
599 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
Custom licence

At a glance

Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.

  • Works in 7 steps: Determine if conversion to V2 is needed → Analyze the current dispatch macro → Choose the uint addition method → …
  • Adding support for uint16
  • SKILL.md covers When to use this skill, Quick reference, Type group reference and Instructions, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Add Uint Support is an agent skill from pytorch/pytorch. Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

Its SKILL.md is about 2.3k 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 repository describes itself as: Tensors and Dynamic neural networks in Python with strong GPU acceleration.

When your agent uses it

  • Adding support for uint16
  • Uint64 types to operators
  • User mentions enabling unsigned types
  • Barebones unsigned types

Example prompts

  • “/add-uint-support”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Determine if conversion to V2 is needed
  2. Analyze the current dispatch macro
  3. Choose the uint addition method
  4. Apply the transformation
  5. Handle AT_ALL_TYPES vs individual type groups
  6. Verify all dispatch sites
  7. Validate the changes

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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are cpp).

    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

Add Uint Support loads about 2.3k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 599 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

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 599 words (~2,311 tokens).

“This skill helps add support for unsigned integer types (uint16, uint32, uint64) to PyTorch operators by updating their AT_DISPATCH macros.”

— opening of SKILL.md by pytorch, Custom licence
name
add-uint-support

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/add-uint-support of pytorch/pytorch.

Open the folder on GitHubat commit 84af535

Used in 2 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in pytorch/pytorch, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Add Uint Support 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.

Add Uint Support compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Add Uint Support this skillpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs13k8 repos~1.7kAutomated safety check: PassMIT
Add Torch Shapes Examplefacebook/pyrefly7.1k—~1.3kAutomated safety check: PassMIT
Interview Cheatsheetwanshuiyin/ARIS-in-AI-Offer5741 repos~3.4kAutomated safety check: NotesMIT
MUSA GPU Training Optimizeropen-infra-skills/infra-skills141—~1.7kAutomated safety check: PassApache-2.0
Depth EstimationSharpAI/DeepCamera3.1k—~945Automated safety check: PassMIT

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Works with

Categories

Questions about Add Uint Support

What does Add Uint Support do?

Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros. Add Uint Support is an agent skill from pytorch/pytorch. Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.

When should I use Add Uint Support?

Add Uint Support fits situations like: adding support for uint16; uint64 types to operators; user mentions enabling unsigned types; barebones unsigned types.

How do I install Add Uint Support in Claude Code?

Run `npx skills add pytorch/pytorch --skill add-uint-support -a claude-code`. Or copy the skill folder (.agents/skills/add-uint-support in pytorch/pytorch) into .claude/skills/add-uint-support in your project. Claude Code loads it when a task matches its description.

How do I install Add Uint Support in Codex?

Run `npx skills add pytorch/pytorch --skill add-uint-support -a codex`. Or copy the skill folder (.agents/skills/add-uint-support in pytorch/pytorch) into .agents/skills/add-uint-support in your project. Codex loads it when a task matches its description.

Can I use Add Uint Support 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 add-uint-support -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-uint-support, .gemini/skills/add-uint-support, .github/skills/add-uint-support and .opencode/skills/add-uint-support in your project.

What does Add Uint Support need to run?

SKILL.md names no scripts, command-line tools or credentials: Add Uint Support is instructions for the agent only.

Does Add Uint Support 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 Add Uint Support 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 Add Uint Support use?

Add Uint Support 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 Add Uint Support use?

About 2.3k tokens (SKILL.md is roughly 9.2k 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 Add Uint Support?

Skills that share tags, products or a category with Add Uint Support: CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars), Add Torch Shapes Example (facebook/pyrefly, 7.1k stars), Interview Cheatsheet (wanshuiyin/ARIS-in-AI-Offer, 574 stars) and MUSA GPU Training Optimizer (open-infra-skills/infra-skills, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Uint Support?

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.