Skip to content
TrustedSkillsbeta
Back to all skills

Python Packaging

Checked
rmyndharis·vlatest·backend·MIT

Automates Python package creation, versioning, testing, and distribution using best practices for efficient backend deployment.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rmyndharis/antigravity-skills --skill python-packaging -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rmyndharis

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rmyndharis/antigravity-skills at 3eff4af253.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3eff4af253
Manifest
skills/python-packaging/SKILL.md
Scanned
2 files, 835 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to package Python code into distributable formats. It handles creating setup files, building wheels and source distributions (sdist), and uploading packages to a specified repository like PyPI or a private index. This allows for easy sharing and reuse of Python modules and applications.

When to use it

  • Distributing a library: You've developed a reusable Python library and want to make it available for others to install via pip.
  • Creating deployable packages: You need to bundle your Python application, along with its dependencies, into a single package for deployment.
  • Sharing code within a team: You want to create an internal package repository where your team can easily share and manage custom Python modules.
  • Automating release processes: Integrate packaging steps into automated build pipelines for consistent and reproducible releases.

Key capabilities

  • Generates setup.py or pyproject.toml files.
  • Builds Python wheels (.whl) and source distributions (.tar.gz).
  • Supports uploading packages to PyPI or custom package indexes.

Example prompts

  • "Package my project located in /path/to/my/project."
  • "Create a wheel for the library defined in setup.py."
  • “Upload the built distribution to my private PyPI server at [server address].”

Tips & gotchas

  • Ensure your Python environment has the necessary build tools installed (e.g., setuptools, wheel).
  • The skill requires a valid setup.py or pyproject.toml file defining the project's metadata and dependencies.