Add a maintainers script to safely promote high-confidence legacy risk labels from unknown to concrete values, cover it with tests, and regenerate the canonical skill artifacts and plugin copies. This reduces the legacy unknown backlog without forcing noisy classifications that still need manual review.
1.3 KiB
1.3 KiB
name, description, risk, source, date_added
| name | description | risk | source | date_added |
|---|---|---|---|---|
| python-packaging | Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI. | safe | community | 2026-02-27 |
Python Packaging
Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.
Use this skill when
- Creating Python libraries for distribution
- Building command-line tools with entry points
- Publishing packages to PyPI or private repositories
- Setting up Python project structure
- Creating installable packages with dependencies
- Building wheels and source distributions
- Versioning and releasing Python packages
- Creating namespace packages
- Implementing package metadata and classifiers
Do not use this skill when
- The task is unrelated to python packaging
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.