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Managing Python Projects With Uv

Listed
ai-helpers·vlatest·backend·MIT

Automates Python project setup, dependency management, testing, and deployment using Uvicorn and Poetry for streamlined backend development.

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 ai-helpers/ai-skills-curated --skill managing-python-projects-with-uv -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

ai-helpers

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: test.pypi.org.

    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.

    Hosts contacted

    test.pypi.orgundeclared

    What it found

    • agents/skills/managing-python-projects-with-uv/assets/Makefile:56contacts test.pypi.org
      @$(UV) publish --publish-url https://test.pypi.org/legacy/

  • 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 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 ai-helpers/ai-skills-curated at 9e011cb450.

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

Commit
9e011cb450
Manifest
agents/skills/managing-python-projects-with-uv/SKILL.md
Scanned
9 files, 582 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 projects using uv. It automates tasks like initializing new projects with a modern project structure, running tests, and managing dependencies. The agent can create reproducible development environments and streamline the overall workflow for Python developers.

When to use it

  • Project Setup: Quickly scaffold a new Python project with sensible defaults instead of manual configuration.
  • Dependency Management: Install, update, or remove Python packages within a project's environment.
  • Testing: Execute unit tests and generate test reports for existing Python projects.
  • Reproducible Environments: Create consistent development environments across different machines.

Key capabilities

  • Project initialization with uv
  • Dependency management using poetry
  • Test execution and reporting
  • Environment creation

Example prompts

  • "Create a new Python project named 'my_app' using uv."
  • "Install the 'requests' package in my current project."
  • "Run all tests in the project and show me the results."

Tips & gotchas

  • Requires uv to be installed on the system. The agent will need appropriate permissions to install packages and create projects.