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Kineto Release Agent Skill

Update the third_party/kineto submodule in PyTorch to the latest commit from this kineto repo and commit the change. Use when updating the kineto submodule hash for a release.

574 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
983
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/pytorch/kineto --skill kineto-release

What it tells the agent to use

found in the instruction text
Bash runs shell commands — read the instruction before connecting

The instruction itself

3 sections, as written by the author

Update Kineto Submodule

Update the third_party/kineto submodule in a local PyTorch repo to point to a

commit from this Kineto repo.

If a commit hash is provided via $ARGUMENTS, use that as the target hash.

Otherwise, use the tip of main from this repo.

Prerequisites

Before starting, you need the path to the local PyTorch repo. If you do not

already know it from prior conversation context, ask the user:

> "What is the path to your local PyTorch repo?"

The PyTorch repo is required — do not proceed without it. Store the path as

$PYTORCH for the steps below.

Steps

  • (PyTorch) Get the current submodule hash:
   cd $PYTORCH && git submodule status third_party/kineto | awk '{print $1}' | sed 's/^[-+]//'
  • (Kineto) Get the target hash. If $ARGUMENTS is provided, use it. Otherwise, get

the tip of main from this repo:

   git log -1 --format='%H' main

Do NOT fetch or pull from remote -- you do not have permissions. The repo is

already up to date.

  • (PyTorch) Create a branch named release_YYYY_MM_DD_<short_new_hash> (using today's

date and the short target commit hash) and switch to it.

  • (Kineto) List included commits between old and new hash:
   git log --format='- %s %h' <old_hash>..<new_hash> | sed 's/(#/(pytorch\/kineto#/g'
  • (PyTorch) Update the submodule to the new hash. The submodule's local

object store likely won't have the target commit, so fetch from the local

Kineto repo first:

   cd $PYTORCH/third_party/kineto && git fetch <path_to_kineto_repo> main && git checkout <new_hash>
  • (PyTorch) Commit with a message in this format:
   Update third_party/kineto submodule to <short_new_hash>

   Includes the following commits:

   - <message1> <hash1>
   - <message2> <hash2>
   - ...

If the current hash already matches the target, inform the user that kineto is

already up to date and stop.

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How to use it

Copy the folder

Take pytorch/kineto-release from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.