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Agent skill

Setup

by pytorch in pytorch/executorch

Set up ExecuTorch development environment. An agent skill from pytorch/executorch.

Custom licenceAuto-check passedAI & LLM Engineering

Install Setup

skills CLI
$ npx skills add pytorch/executorch --skill setup -a claude-code

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

GitHub CLI
$ gh skill install pytorch/executorch setup --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/executorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/setup .claude/skills/setup && 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
setup
GitHub stars
5.1k
Token cost
~142 tokens
SKILL.md length
33 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Custom licence

At a glance

Set up ExecuTorch development environment. An agent skill from pytorch/executorch.

  • Works in 3 steps: Activate conda: conda activate executorch → Install executorch:… → (Optional) For Huggingface integration
  • Installing dependencies
  • Calls conda and pip; reaches github.com
  • Setting up conda environments

What it does

Setup is an agent skill from pytorch/executorch. Set up ExecuTorch development environment. Use when installing dependencies, setting up conda environments, or preparing to develop with ExecuTorch.

Its SKILL.md is about 140 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. The repository describes itself as: On-device AI across mobile, embedded and edge for PyTorch.

When your agent uses it

  • Installing dependencies
  • Setting up conda environments
  • Preparing to develop with ExecuTorch

Example prompts

  • “/setup”

Requirements

  • Python 3
  • Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Activate conda: conda activate executorch
  2. Install executorch: ./install_executorch.sh
  3. (Optional) For Huggingface integration

What it can do on your machine

Read from SKILL.md and the folder at commit 852b1ff. 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:

    • conda
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Setup loads about 142 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 33 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~142

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 33 words (~142 tokens).

name
setup

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/setup of pytorch/executorch.

Open the folder on GitHubat commit 852b1ff

Compare with similar skills

Setup 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.

Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Setup this skillpytorch/executorch5.1k—~142Automated safety check: PassCustom licence
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
Peft Fine TuningOrchestra-Research/AI-Research-SKILLs13k9 repos~3.1kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k9 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.8k15 repos~656Automated safety check: PassApache-2.0

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More from pytorch/executorch

All 10 skills in this repo

  • ExecuTorch Binary Size Reduction

    pytorch/executorch

    Measures and shrinks the ExecuTorch runtime binary by building a size test, analyzing it with bloaty and landing each reduction as its own pull request.

    5.1k GitHub stars~793 tokensUpdated today
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  • ExecuTorch Build Guide

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    Builds ExecuTorch from source: the Python package, C++ runtime, model runners, Android and iOS cross-compilation and backend-specific builds, with environment checks.

    5.1k GitHub stars~2.3k tokensUpdated today
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  • ExecuTorch Cortex-M Backend

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    Developer guide for the Cortex-M (CMSIS-NN) backend in ExecuTorch: quantization pipeline, pass manager, tests and adding new ops.

    5.1k GitHub stars~872 tokensUpdated today
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  • ExecuTorch Knowledge Base

    pytorch/executorch

    Answers ExecuTorch questions from a local wiki on backends, export pitfalls, quantization recipes, runtime errors and SoC compatibility.

    5.1k GitHub stars~1.3k tokensUpdated today
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  • ExecuTorch PR Review

    pytorch/executorch

    Reviews ExecuTorch pull requests or local branches for what CI cannot check, using a checklist, with an optional detailed line-by-line mode.

    5.1k GitHub stars~2.9k tokensUpdated today
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  • Qualcomm QNN Backend Development

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    Helps build, test and extend the Qualcomm AI Engine Direct (QNN) backend in ExecuTorch, with routes for new ops, model export, Buck-vs-CMake parity fixes and per-layer accuracy debugging.

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Categories

Questions about Setup

What does Setup do?

Set up ExecuTorch development environment. An agent skill from pytorch/executorch. Setup is an agent skill from pytorch/executorch. Set up ExecuTorch development environment.

When should I use Setup?

Setup fits situations like: installing dependencies; setting up conda environments; preparing to develop with ExecuTorch.

How do I install Setup in Claude Code?

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

How do I install Setup in Codex?

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

Can I use Setup 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/executorch --skill setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.

What does Setup need to run?

Going by SKILL.md and its folder, Setup needs the command-line tools its instructions call (conda and pip). Our summary lists: Python 3; Docker.

Does Setup access the network?

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.

Is Setup 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 Setup use?

Setup 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 Setup use?

About 142 tokens (SKILL.md is roughly 568 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 Setup?

Skills that share tags, products or a category with Setup: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup?

pytorch (a GitHub organization) maintains it in pytorch/executorch, which has 5,082 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 8, 2026.

Source: pytorch/executorch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.