Releases
SkillDocs & knowledgeLets your agent draft release notes, bump versions, and publish GitHub releases for prime-rl.
Then ask your AI: use the Releases skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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About this skill
How to prepare and publish GitHub releases for prime-rl. Use when drafting release notes, tagging versions, or publishing releases.
What this skill tells your AI
The instructions your AI receives, as published by primeintellect-ai/prime-rl in skills/release/SKILL.md and read by Ahel’s review.
Releases are driven by .github/workflows/tag-and-release.yaml. The flow:
- You create a draft GitHub Release with the notes inline (
gh release create --draft). - You open a draft PR that bumps
versioninpyproject.toml. - Maintainer merges. The workflow tags the commit, builds the
prime-kernelswheels and attaches them to the draft, then promotes it.
Release notes live on the GitHub Release, not in the repo. Prime-rl is not on PyPI. .dev tags are handled separately by devx_tag.yaml; tag-and-release.yaml ignores them.
1. Decide the version
git fetch origin --tags
grep '^version' pyproject.toml
gh release list --repo PrimeIntellect-ai/prime-rl --limit 5
SemVer (MAJOR.MINOR.PATCH). Confirm with the user before continuing.
2. Draft the notes
Match the prior release's structure: numbered highlights (# 1., ...), then # Breaking Changes, # Bug Fixes, # Misc, # Contributors. Use ## subsections inside a highlight when it bundles multiple items.
PREV=$(gh release list --limit 1 --json tagName --jq '.[0].tagName')
gh release view "$PREV" --json body --jq .body # style reference
git log "$PREV"..origin/main --oneline --no-merges # commits since
gh pr list --base main --state merged --search \
"merged:>=$(gh release view "$PREV" --json publishedAt --jq .publishedAt)" \
--limit 500 --json number,title,author # for PR links + contributors
Tips:
- PR refs:
[#1234](https://github.com/PrimeIntellect-ai/prime-rl/pull/1234). - Contributors: order by commit count, use the GH
@usernamefrom the API (not git author names). - Verify any TOML field names against the actual config classes.
3. Create the draft release
NEW=v0.6.0
gh release create --draft "$NEW" --title "$NEW" --target main --notes-file /tmp/release-notes-$NEW.md
gh release view "$NEW" --json isDraft,tagName --jq '{tagName, isDraft}' # expect isDraft: true
Iterate with gh release edit "$NEW" --notes-file /tmp/release-notes-$NEW.md.
4. Open the version-bump PR
git switch -c chore/release-$NEW
# bump `version = "..."` in pyproject.toml
git add pyproject.toml
git commit -m "chore: release $NEW"
git push -u origin "chore/release-$NEW"
gh pr create --draft --title "chore: release $NEW" --body "Bumps version to ${NEW#v}. Draft release: https://github.com/PrimeIntellect-ai/prime-rl/releases/tag/$NEW"
Stop. Do not tag, push tags, or flip the draft to published — the workflow does that on merge.
5. After it publishes: move the kernel pin
The release now carries prime_kernels-*.whl for x86_64 and aarch64. Point installs at them
so nobody compiles CUDA, in a follow-up PR:
gh release view "$NEW" --json assets --jq '.assets[].name' # exact filenames, ABI and all
Update the prime-kernels URLs under [tool.uv.sources] in pyproject.toml to $NEW, then
uv sync --all-extras to relock. The pin always trails one release — $NEW's wheels do not
exist until $NEW is built. See the kernels skill.
Recovery
If the workflow tagged the commit but failed to promote the draft, the next main push (or workflow_dispatch with tag: v{new}) re-promotes it. A rerun rebuilds and re-uploads the kernel wheels (--clobber), which is harmless.
Signals
- GitHub stars
- 2k
- Forks
- 455
- Last commit
- Oct 2026
- Hacker News mentions
- 20
Advanced
- Item type
- skill
- Key
release-primeintellect-ai- Source
- github.com/primeintellect-ai/prime-rl
github.com/primeintellect-ai/prime-rl
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