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How to release a new pgdbm library version to PyPI
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
| name | release |
| description | How to release a new pgdbm library version to PyPI |
This skill guides you through releasing a new version of the pgdbm library.
uv run pytest
All tests must pass before releasing.
Three files need version updates:
# Check current version
grep "^version" pyproject.toml
Update these files to the new version:
| File | Location |
|---|---|
pyproject.toml | version = "X.Y.Z" |
src/pgdbm/__version__.py | __version__ = "X.Y.Z" |
.claude-plugin/plugin.json | "version": "X.Y.Z" |
Important: The plugin.json version controls Claude Code skill caching. Always bump it when releasing.
Add entry at the top:
## [X.Y.Z] - YYYY-MM-DD
### Added
- New features
### Changed
- Changes to existing features
### Fixed
- Bug fixes
git add pyproject.toml src/pgdbm/__version__.py .claude-plugin/plugin.json CHANGELOG.md uv.lock
git commit -m "chore: bump version to X.Y.Z
- Summary of changes
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>"
git tag -a vX.Y.Z -m "Release X.Y.Z"
git push origin main
git push origin vX.Y.Z
Important: Clean the dist/ directory first to avoid uploading old versions.
rm -rf dist/
uv build
uv publish
Or if using twine:
rm -rf dist/
uv build
twine upload dist/*
# Check PyPI
pip index versions pgdbm
# Check plugin update works
claude plugin update pgdbm@juanre-ai-tools
Follow semver:
publish-skills skillHow to update and publish pgdbm skills for Claude Code users
Use before implementing pgdbm patterns to avoid common mistakes - provides rationalization table and red flags that prevent pool multiplication, schema errors, and template syntax violations
Use when writing tests for pgdbm-based code - provides fixture selection decision tree and complete usage patterns without needing testing docs
Use when deciding which pgdbm pattern to use (standalone, dual-mode library, or shared pool) - provides decision tree based on deployment context without requiring doc exploration
Use when implementing pgdbm database operations - provides complete AsyncDatabaseManager and DatabaseConfig API with all methods and parameters
Use when implementing shared connection pool for multiple services in same application - provides complete setup steps for FastAPI/multi-service apps without needing examples