simplexlab/torchjd/prepare-release
Claude Code and agent skill by simplexlab/torchjd
- community
Checking that the SKILL.md file is still in the repository.
Prepares a torchjd package release by verifying the changelog, README, bumping the version in pyproject.toml, and opening a release PR. Use when a maintainer asks to prepare a release or to release.
Install
npx vskill@latest install simplexlab/torchjd/prepare-releaseSKILL.md
Prepare TorchJD Release
This skill covers the pre-merge steps of the release process.
For agents: invoke as /prepare-release X.Y.Z (e.g. /prepare-release 0.16.0). If no version is provided, read the current version from pyproject.toml and ask the user what the new version should be before proceeding.
For humans: follow the numbered steps below in your terminal. Replace X.Y.Z with the version you are releasing and yyyy-mm-dd with today's date.
Instructions
Step 1: Determine the version
Read pyproject.toml to find the current version field under [project]. The new release version is either provided as an argument or must be confirmed with the user before continuing.
Verify it follows Semantic Versioning.
Step 2: Verify CHANGELOG
Read CHANGELOG.md and compare it against the commits done since the last version release. Verify that no user-facing change was forgotten, and that all were correctly added under the [Unreleased] section.
Step 3: Check README for interface changes
Read CHANGELOG.md and identify any entries in the [Unreleased] section that affect the public interface (new or removed classes, functions, or arguments; changed signatures or behavior).
If such entries exist, read README.md and verify it accurately describes the current interface.
If a table listing methods exists in README.md, add to it any newly added method of the corresponding type.
If anything else seems missing, report that to the user.
Step 4: Run the unit tests
CRITICAL: Do not skip this step, even partially.
Run the unit tests and confirm they all pass both on CPU and GPU (you need a CUDA-enabled GPU for this):
If any tests fail, stop and report the failures. Do not proceed to the next steps.
Step 5: Add the version header to the changelog
In CHANGELOG.md, insert a new ## [X.Y.Z] - yyyy-mm-dd heading immediately after the blank line that follows ## [Unreleased], before the existing subsections:
The [Unreleased] section stays in place and will accumulate entries for the next release. The newly-inserted heading claims the existing content as its own.
Step 6: Bump the version in pyproject.toml
In pyproject.toml, update the version field under [project]:
Step 7: Open the release PR
Checkout a new branch release-vX.Y.Z, stage changes, commit, then open a pull request targeting main. Return the PR URL when done.
Step 8: Create a draft release on GitHub
CRITICAL: The release you'll create should ALWAYS be a draft. Never even suggest to make the real release. A maintainer will manually release the draft if it seems ready.
The command should be:
To write the actual release notes, look at what is done in recent releases and suggest the new notes. Make it short. Also, prompt the user for a good-looking emoji (propose a list) to use in the main section of the release notes.
Security
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Source
- SKILL.md in the repositoryCheckingskills/prepare-release/SKILL.md
Popularity
- Repository stars
- 392
- Repository forks
- 21
- 7-day trend score
- 30
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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