Agent skill

Release Create Tracker Issue

by pytorch in pytorch/test-infra

Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506.

Custom licenceAuto-check passedAI & LLM Engineering

Install Release Create Tracker Issue

skills CLI
$ npx skills add pytorch/test-infra --skill release-create-tracker-issue -a claude-code

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

GitHub CLI
$ gh skill install pytorch/test-infra release-create-tracker-issue --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/test-infra.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/release-create-tracker-issue .claude/skills/release-create-tracker-issue && 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
release-create-tracker-issue
GitHub stars
113
Token cost
~2.7k tokens
SKILL.md length
636 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
Custom licence

At a glance

Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506.

  • Works in 4 steps: Determine parameters → Extract milestone dates from the… → Generate the issue body → …
  • Tasks that involve Deep learning
  • SKILL.md covers When to use this skill, Instructions, Example usage and Notes
  • Calls gh; reaches github.com and dev-discuss.pytorch.org

What it does

Release Create Tracker Issue is an agent skill from pytorch/test-infra. Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506. Triggered by mentions of "release tracker", "release tracking issue", "cherry-pick tracker", or "cut a release branch issue".

Its SKILL.md is about 2.7k 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, Changelog and release notes and Project management. It works with PyTorch and GitHub. The repository describes itself as: This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests…

When your agent uses it

  • Tasks that involve Deep learning
  • Tasks that involve Changelog and release notes
  • Tasks that involve Project management

Example prompts

  • “release tracker”
  • “release tracking issue”
  • “cherry-pick tracker”
  • “/release-create-tracker-issue”

Workflow steps

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

  1. Determine parameters
  2. Extract milestone dates from the announcement
  3. Generate the issue body
  4. Review, then create the issue

What it can do on your machine

Read from SKILL.md and the folder at commit e27de4a. 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:

    • gh

    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
    • dev-discuss.pytorch.org
    • api.github.com
    • hud.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

Release Create Tracker Issue loads about 2.7k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 636 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

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 636 words (~2,726 tokens).

“Generates the body for a PyTorch release tracker issue (the cherry-pick tracking issue cut alongside a release branch, like https://github.com/pytorch/pytorch/issues/180506) from a release announcement that contains the milestone (key dates) schedule, then opens the issue in pytorch/pytorch.”

— opening of SKILL.md by pytorch, Custom licence
name
release-create-tracker-issue

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/release-create-tracker-issue of pytorch/test-infra.

Open the folder on GitHubat commit e27de4a

Compare with similar skills

Release Create Tracker Issue 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.

Release Create Tracker Issue compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Release Create Tracker Issue this skillpytorch/test-infra113—~2.7kAutomated safety check: PassCustom licence
Fix Issuepytorch/pytorch104k—~2.3kAutomated safety check: PassCustom licence
Homepage Generatorwanshuiyin/ARIS-in-AI-Offer574—~4.8kAutomated safety check: NotesMIT
Triaging Issuespytorch/pytorch104k—~4.2kAutomated safety check: PassCustom licence
Matlab Integrate Pytorch Visionmatlab/matlab-agentic-toolkit1.1k—~3.7kAutomated safety check: PassCustom licence
Xpu Alignmentintel/torch-xpu-ops115—~2kAutomated safety check: PassApache-2.0

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Works with

Questions about Release Create Tracker Issue

What does Release Create Tracker Issue do?

Generate (and optionally open) a PyTorch release tracker / cherry-pick tracking issue from a release announcement, like https://github.com/pytorch/pytorch/issues/180506. Release Create Tracker Issue is an agent skill from pytorch/test-infra.com/pytorch/pytorch/issues/180506.

When should I use Release Create Tracker Issue?

Release Create Tracker Issue fits situations like: tasks that involve Deep learning; tasks that involve Changelog and release notes; tasks that involve Project management.

How do I install Release Create Tracker Issue in Claude Code?

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

How do I install Release Create Tracker Issue in Codex?

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

Can I use Release Create Tracker Issue 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/test-infra --skill release-create-tracker-issue -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-create-tracker-issue, .gemini/skills/release-create-tracker-issue, .github/skills/release-create-tracker-issue and .opencode/skills/release-create-tracker-issue in your project.

What does Release Create Tracker Issue need to run?

Going by SKILL.md and its folder, Release Create Tracker Issue needs the command-line tools its instructions call (gh).

Does Release Create Tracker Issue access the network?

SKILL.md names 4 domains. In commands or code: github.com, dev-discuss.pytorch.org, api.github.com and hud.pytorch.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Release Create Tracker Issue 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 Release Create Tracker Issue use?

Release Create Tracker Issue 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 Release Create Tracker Issue use?

About 2.7k tokens (SKILL.md is roughly 11k 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 Release Create Tracker Issue?

Skills that share tags, products or a category with Release Create Tracker Issue: Fix Issue (pytorch/pytorch, 104k stars), Homepage Generator (wanshuiyin/ARIS-in-AI-Offer, 574 stars), Triaging Issues (pytorch/pytorch, 104k stars) and Matlab Integrate Pytorch Vision (matlab/matlab-agentic-toolkit, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Create Tracker Issue?

pytorch (a GitHub organization) maintains it in pytorch/test-infra, which has 113 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 7, 2026.

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