Skyvern Version Bump
Skyvern-AI/skyvern
Walks through a Skyvern open-source release bump: update the version, rebuild the Python and TypeScript SDKs with Fern, commit, and open a pull request.
Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow.
Install Worktree Env Setup
$ npx skills add meta-pytorch/attention-gym --skill worktree-env-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install meta-pytorch/attention-gym worktree-env-setup --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/meta-pytorch/attention-gym.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/worktree-env-setup .claude/skills/worktree-env-setup && 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 "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .claude/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setupType 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 meta-pytorch/attention-gym --skill worktree-env-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install meta-pytorch/attention-gym worktree-env-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meta-pytorch/attention-gym.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/worktree-env-setup .agents/skills/worktree-env-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .agents/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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 meta-pytorch/attention-gym --skill worktree-env-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install meta-pytorch/attention-gym worktree-env-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meta-pytorch/attention-gym.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/worktree-env-setup .cursor/skills/worktree-env-setup && 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 "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .cursor/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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/meta-pytorch/attention-gym.git --path .agents/skills/worktree-env-setup--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 meta-pytorch/attention-gym --skill worktree-env-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install meta-pytorch/attention-gym worktree-env-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meta-pytorch/attention-gym.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/worktree-env-setup .gemini/skills/worktree-env-setup && 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 "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .gemini/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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 meta-pytorch/attention-gym worktree-env-setupInstalls 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 meta-pytorch/attention-gym --skill worktree-env-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/meta-pytorch/attention-gym.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/worktree-env-setup .github/skills/worktree-env-setup && 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 "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .github/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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 meta-pytorch/attention-gym --skill worktree-env-setup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install meta-pytorch/attention-gym worktree-env-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meta-pytorch/attention-gym.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/worktree-env-setup .opencode/skills/worktree-env-setup && 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 "worktree-env-setup" agent skill from https://github.com/meta-pytorch/attention-gym/tree/main/.agents/skills/worktree-env-setup into .opencode/skills/worktree-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "worktree-env-setup", 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
worktree-env-setup- GitHub stars
- 1.3k
- Token cost
- ~858 tokens
- SKILL.md length
- 415 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- BSD-3-Clause
At a glance
Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow.
- Creating a new git worktree
- SKILL.md covers Setup, Running commands and Verifying isolation
- Calls uv, python and pytest; reaches download.pytorch.org
- A worktree lacks a local .venv
What it does
Worktree Env Setup is an agent skill from meta-pytorch/attention-gym. Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow. Use when creating a new git worktree or when a worktree lacks a local .venv.
Its SKILL.md is about 860 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 Development, covering Git worktrees. It works with Git, Python, PyTorch and pytest. The repository describes itself as: Helpful tools and examples for working with flex-attention. The licence is BSD-3-Clause.
When your agent uses it
- Creating a new git worktree
- A worktree lacks a local .venv
Example prompts
- “/worktree-env-setup”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 0beac51. 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:
uvpythonpytest
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:
download.pytorch.org
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
Worktree Env Setup loads about 858 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 415 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
The full file from meta-pytorch/attention-gym at commit 0beac51, republished under its BSD-3-Clause licence (© meta-pytorch). 415 words, ~858 tokens.
Download SKILL.mdSave it as
.claude/skills/worktree-env-setup/SKILL.md (or your agent's skills folder).- name
- worktree-env-setup
- description
- Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow. Use when creating a new git worktree or when a worktree lacks a local .venv.
Worktree Environment Setup
Each attention-gym worktree gets its own .venv so editable installs, concurrent
agents, and test runs never cross-import another checkout. Never reuse a shared
env's editable install across worktrees, and never ln -s another worktree's
.venv as a shortcut: an editable install is a .pth file naming one checkout,
so a shared env makes every other worktree run that checkout's sources. A fresh
uv venv plus hard-linked wheels costs seconds; a wrong import costs hours. If
.venv already exists as a symlink, rm .venv and rebuild it below.
Setup
From the worktree root (mirrors .github/workflows/test.yml):
uv venv --python 3.13
source .venv/bin/activate
uv pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu132
uv pip install --prerelease allow -e '.[tests,linear,dev]'Notes:
- uv hard-links wheels from its cache, so after the first nightly download this takes seconds and costs almost no extra disk per worktree.
- Activate
.venvbefore installing so an already-active foreign environment is not modified. --prerelease allowis required for theflash-attn-4beta in[tests].[tests]omits FlashAttention on aarch64, so its transitive CuTeDSL pin does not apply there or to linear-only installs. When updating CuTeDSL, runpytest -n 6 test/test_kda_bwd_wy_compile.pyto catch NVVM binding changes without a Blackwell GPU, then validate forward/backward numerics on supported hardware.- A
.venvsymlink into another worktree is not isolation: its editable.pthstill points at that worktree, so pytest imports the other checkout'sattn_gym. Replace it with a real per-worktree env. - Do not use
uv sync/uv.lock: nightly torch churns daily and CI uses the imperativeuv pipflow above, not a lockfile. - Drop
[linear]if CuTeDSL/TVM-FFI kernels are not needed (CPU-only work). [tests]and[cudnn]are declared conflicting extras inpyproject.toml; keep them in separate environments. For cuDNN worktrees, install-e '.[cudnn,dev]' pytest pytest-xdistinstead; cuDNN tests import-skip optional FlashAttention coverage.
Show full SKILL.md (139 more words)Show less
Running commands
Prefer the worktree's own interpreter — either activate .venv first, or use
uv run --no-sync pytest test (matches CI exactly). Never invoke a Python from
another worktree or a shared ~/.venvs/* env for attn_gym imports.
Verifying isolation
cd /tmp && python -c "import attn_gym; print(attn_gym.__file__)"The printed path must be inside the current worktree. If it points at another
checkout, the editable install is wrong — rerun the -e '.[tests,linear,dev]'
install from this worktree root.
Run the check from outside the repo root. From the root, python -c puts the
current directory first on sys.path and masks a wrong editable install, while
python agent_space/script.py and pytest (whose test/ has no __init__.py)
put the script directory first and silently import the other checkout. A
.venv symlinked to another worktree's env fails exactly this way: edits appear
to have no effect because the kernels compile from the other tree.
© meta-pytorch, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/worktree-env-setup of meta-pytorch/attention-gym.
Open the folder on GitHubat commit 0beac51
Compare with similar skills
Worktree Env 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Worktree Env Setup this skillmeta-pytorch/attention-gym | 1.3k | — | ~858 | Automated safety check: Pass | BSD-3-Clause | |
| Skyvern Version BumpSkyvern-AI/skyvern | 23k | — | ~1k | Automated safety check: Notes | AGPL-3.0 | |
| Adk Setupgoogle/adk-python | 22k | — | ~993 | Automated safety check: Notes | Apache-2.0 | |
| ExecuTorch Cortex-M Backendpytorch/executorch | 5.1k | — | ~872 | Automated safety check: Pass | Custom licence | |
| Burla Parallel Dev ClustersBurla-Cloud/burla | 263 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Spec Kitty Git Workflowspec-kitty/spec-kitty | 1.7k | — | ~2.3k | Automated safety check: Pass | MIT |
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Developer guide for the Cortex-M (CMSIS-NN) backend in ExecuTorch: quantization pipeline, pass manager, tests and adding new ops.
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Related
Categories
Questions about Worktree Env Setup
What does Worktree Env Setup do?
Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow. Worktree Env Setup is an agent skill from meta-pytorch/attention-gym. Sets up an isolated per-worktree Python environment for attention-gym development using nightly PyTorch and the CI-mirroring uv flow.
When should I use Worktree Env Setup?
Worktree Env Setup fits situations like: creating a new git worktree; A worktree lacks a local .venv.
How do I install Worktree Env Setup in Claude Code?
Run `npx skills add meta-pytorch/attention-gym --skill worktree-env-setup -a claude-code`. Or copy the skill folder (.agents/skills/worktree-env-setup in meta-pytorch/attention-gym) into .claude/skills/worktree-env-setup in your project. Claude Code loads it when a task matches its description.
How do I install Worktree Env Setup in Codex?
Run `npx skills add meta-pytorch/attention-gym --skill worktree-env-setup -a codex`. Or copy the skill folder (.agents/skills/worktree-env-setup in meta-pytorch/attention-gym) into .agents/skills/worktree-env-setup in your project. Codex loads it when a task matches its description.
Can I use Worktree Env 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 meta-pytorch/attention-gym --skill worktree-env-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/worktree-env-setup, .gemini/skills/worktree-env-setup, .github/skills/worktree-env-setup and .opencode/skills/worktree-env-setup in your project.
What does Worktree Env Setup need to run?
Going by SKILL.md and its folder, Worktree Env Setup needs the command-line tools its instructions call (uv, python and pytest). Our summary lists: Python 3.
Does Worktree Env Setup access the network?
SKILL.md names 1 domain. In commands or code: download.pytorch.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Worktree Env 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 Worktree Env Setup use?
Worktree Env Setup is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Worktree Env Setup use?
About 858 tokens (SKILL.md is roughly 3.4k 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 Worktree Env Setup?
Skills that share tags, products or a category with Worktree Env Setup: Skyvern Version Bump (Skyvern-AI/skyvern, 23k stars), Adk Setup (google/adk-python, 22k stars), ExecuTorch Cortex-M Backend (pytorch/executorch, 5.1k stars) and Burla Parallel Dev Clusters (Burla-Cloud/burla, 263 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Worktree Env Setup?
meta-pytorch (a GitHub organization) maintains it in meta-pytorch/attention-gym, which has 1,254 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 6, 2026.
Source: meta-pytorch/attention-gym on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.