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managing-python-releases

Manages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.

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kajisho5/ffmpeg-skill
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6 de setembro de 2026 às 22:59
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SKILL.md
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name
managing-python-releases
description
Manages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.
# Release Management ## Semantic Versioning ``` MAJOR.MINOR.PATCH (e.g., 1.2.3) PATCH: Bug fixes, no API changes MINOR: New features, backward compatible MAJOR: Breaking changes ``` ## Changelog Format (Keep a Changelog) ```markdown # Changelog ## [Unreleased] ### Added - New `batch_encode()` function ## [1.2.0] - 2024-03-15 ### Added - Support for custom formats (#123) ### Fixed - Edge case at -180 longitude (#145) ### Deprecated - `old_function()` - use `new_function()` instead [Unreleased]: https://github.com/user/repo/compare/v1.2.0...HEAD [1.2.0]: https://github.com/user/repo/releases/tag/v1.2.0 ``` **Categories:** Added, Changed, Deprecated, Removed, Fixed, Security ## Version in Code ```python # src/package/__init__.py __version__ = "1.2.3" # Or use importlib.metadata from importlib.metadata import version __version__ = version("my-package") ``` ## GitHub Actions Release (PyPI example) A tag-triggered workflow builds and publishes to a registry via trusted publishing (no stored token) is the general shape — swap the publish step for whatever registry the project actually uses (PyPI, npm, crates.io, ...): ```yaml # .github/workflows/release.yml on: push: tags: ['v*'] jobs: release: runs-on: ubuntu-latest permissions: contents: write # create the GitHub release id-token: write # trusted publishing (no token) steps: - uses: actions/checkout@v4 - uses: astral-sh/setup-uv@v5 - run: uv build - uses: softprops/action-gh-release@v2 with: files: dist/* - uses: pypa/gh-action-pypi-publish@release/v1 ``` ## Deprecation Process Warn with `stacklevel=2` so the message points at the caller. ```python import warnings def old_function(): """Deprecated: Use new_function() instead.""" warnings.warn( "old_function() deprecated, will be removed in 2.0.0", DeprecationWarning, stacklevel=2, ) return new_function() ``` ## Release Process ```bash # 1. Update CHANGELOG.md (move Unreleased to version) # 2. Bump version in the project manifest # 3. Commit and tag git commit -am "Release v1.2.0" git tag -a v1.2.0 -m "Release v1.2.0" git push origin main --tags # 4. CI publishes automatically (if automated) or publish manually ``` ## Checklist ``` Before Release: - [ ] All tests pass - [ ] CHANGELOG updated - [ ] Version bumped - [ ] Documentation current After Release: - [ ] Registry shows new version - [ ] A fresh install actually works (not just that the tag/publish succeeded) - [ ] GitHub release created - [ ] Docs updated ``` ## Note for this repository (ffmpeg-skill) `CHANGELOG.md` here already follows Keep a Changelog's dated-section format (`## 0.10.0 — 2026-09-06 — ...`), so the format guidance above matches this repo exactly. Two real differences from the generic PyPI example: - **No automated release workflow exists.** There is no `.github/workflows/release.yml` — the 0.10.0 release this session did every step by hand: bump `package.json`'s `version`, convert the CHANGELOG's `## Unreleased` into a dated section, `git tag`, create the GitHub Release, then `npm publish` separately. This is exactly the gap `managing-python-releases` is meant to close with automation — worth considering if releases become frequent enough that a manual miss (like 0.9.2 sitting un-published to npm for a while, discovered this session) becomes a recurring problem. - **The registry is npm, not PyPI**, and there is no `__version__` in code — `scripts/_contract.py`'s `skill_version()` and `doctor`'s `version` field both read `package.json` directly (see this repo's own `concurrent-branches` and `build-artifacts` skill notes for the related merge-conflict and publish-verification patterns this touches). Source: [wdm0006/python-skills](https://github.com/wdm0006/python-skills) (MIT).
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