Skip to content
TrustedSkillsbeta
Back to all skills

Python Packaging

Checked
laurigates·vlatest·backend·MIT

Automates Python package creation, testing, and deployment to PyPI using best practices from laurigates.

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 laurigates/claude-plugins --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

laurigates

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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
python-plugin/skills/python-packaging/SKILL.md
Scanned
2 files, 344 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 manage Python package dependencies, allowing them to install, upgrade, and remove libraries directly within a project environment. It streamlines backend workflows by automating the resolution of version conflicts and ensuring consistent dependency states across development cycles.

When to use it

  • Setting up a new Python project from scratch without manual pip or poetry commands.
  • Resolving dependency errors when an AI agent attempts to run code with missing libraries.
  • Updating specific packages to their latest stable versions while checking for breaking changes.
  • Cleaning up unused dependencies in legacy codebases before deployment.

Key capabilities

  • Install Python packages via pip directly from the command line.
  • Upgrade existing packages to newer versions automatically.
  • Uninstall or remove specific libraries from the environment.
  • List installed packages and their current versions for auditing.
  • Handle virtual environment configurations where supported.

Example prompts

  • "Install pandas, numpy, and requests in my current Python environment."
  • "Upgrade all dependencies to their latest compatible versions and check for errors."
  • "Remove tensorflow from the project and list remaining installed packages."

Tips & gotchas

Ensure your AI agent has write permissions to the target directory where pip is executed. This skill relies on an active Python interpreter; it will fail if the environment lacks a valid installation or network access to PyPI.