Open source alternatives to python-packaging
24 open source AI Skills apps to use instead, best rated first.
Top picks
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github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
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opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
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andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
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microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
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od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
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github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
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About python-packaging

python-packaging
Create distributable Python packages
python-packaging is an agent skill from the wshobson/agents collection for creating, structuring and distributing Python packages. It covers the modern packaging setup built around pyproject.toml, the layout of a package project, building wheels and source distributions, and publishing to PyPI or a private package repository. The skill applies when creating Python libraries for distribution, building command-line tools with entry points, publishing packages to PyPI or private repositories, setting up a project structure that can be installed, and creating installable packages that declare their dependencies. It also covers namespace packages, which let several separately installed distributions share one top-level package name, and it covers package metadata and classifiers, the descriptive fields that tell users and package indexes what a package is for. Versioning and releasing are part of the skill, so each published version is numbered and tracked. The guidance is useful for library authors who want their code to install cleanly on other people's machines, and for teams that share internal packages across projects. Publishing is an action with lasting effects, because a published version cannot be replaced on PyPI, so the agent should prepare the release and a person should confirm it before upload. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 12.6K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- wshobson
- Category
- AI Skills
- Website
- github.com/wshobson/agents/python-packaging











