deploy
Skill1.5k starsChanged 4 days agoMITView on GitHub
Prepare and ship a **gemma-macos-tuner** release (PyPI) or verify release readiness. Before any publish, run the same blocking gates as CI (Ruff, fast tests, pre-commit when applicable); fix failures before tagging. Use when the user asks to publish to PyPI, cut a release, verify a version tag against pyproject.toml, or confirm release automation. Do not use for ad-hoc training runs or local-only work unless release hygiene is explicitly the goal.
- Installs packages
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 137 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Do not tag or advise a release until every applicable step succeeds (exit 0):
- Distinctive: line 28
On failure: stop, fix root cause, re-run from step 2.
- Very specific: line 32
Read README.md and .github/workflows/publish-pypi.yml for tag ↔ version rules and secrets.
- Distinctive: line 33
Run Pre-publish gate (blocking).
- Very specific: line 36
After a successful publish (or dry-run build), note the artifact paths under dist/ if relevant.
“Common” is measured: kept by at least 6 in 10 of the 137 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deploy / release (gemma-tuner-multimodal)
This skill targets this repository: Python package gemma-macos-tuner (pyproject.toml), macOS-first CI (.github/workflows/ci.yml), and PyPI publish on version tags (.github/workflows/publish-pypi.yml). There is no Cloudflare Worker or wrangler surface in this repo.
What gets shipped
| Surface | How it ships |
| PyPI package | Tag v<version> where <version> matches project.version in pyproject.toml; workflow builds sdist/wheel and runs twine upload (needs PYPI_TOKEN in repo secrets). |
Canonical version truth: pyproject.toml project.version.
Pre-publish gate (blocking)
Do not tag or advise a release until every applicable step succeeds (exit 0):
- Install dev deps:
pip install -e '.[dev]'(and CPUtorchfor tests if needed, matching CI—see.github/workflows/ci.yml). ruff check .ruff format --check .pre-commit run --all-files(when verifying full CI parity locally; optional if Ruff alone was requested).- Fast tests:
pytest -q -m "not slow"(or the subset CI runs—see workflow for explicit test list).
On failure: stop, fix root cause, re-run from step 2.
Procedure (agent)
- Read
README.mdand.github/workflows/publish-pypi.ymlfor tag ↔ version rules and secrets. - Run Pre-publish gate (blocking); do not continue until green.
- Tag discipline:
publish-pypirequiresv$VERSIONwhere$VERSIONequalsproject.versioninpyproject.toml(e.g. tagv1.1.0for version1.1.0). - Credentials:
PYPI_TOKENmust be configured on GitHub; do not commit tokens. User may runpython -m buildandtwine check dist/*locally without uploading. - After a successful publish (or dry-run build), note the artifact paths under
dist/if relevant.
CI parity
.github/workflows/ci.yml runs Ruff, pre-commit, and fast pytest on macOS arm64. Manual release prep should honor the same checks.
Anti-patterns
- Tagging when Ruff or tests are red.
- Bumping
pyproject.tomlversion without updating the tag format expected by CI. - Lowering coverage or lint thresholds to “make release green.”
Related docs
README.mddocs/CONTRIBUTING.mdREADME/notes/debug-notes.md
Other versions153 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 153
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- jazzyalex/agent-sessions★ 930same name
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143 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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