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Python Craftsman

Checked
omer-metin·vlatest·backend·Apache-2.0

Generates efficient Python code snippets and scripts to solve backend tasks, leveraging best practices from omer-metin's expertise.

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 omer-metin/skills-for-antigravity --skill python-craftsman -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

omer-metin

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 omer-metin/skills-for-antigravity at e8dcf4e873.

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

Scanned
4 files, 981 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

The python-craftsman skill allows AI agents to generate, debug, and execute Python code snippets. It can handle tasks ranging from simple calculations to more complex data manipulation and algorithm implementation. This skill is designed for situations where programmatic logic or scripting capabilities are needed within an agent's workflow.

When to use it

  • Data Transformation: When you need the agent to clean, filter, or transform a dataset based on specific rules.
  • Automated Calculations: For performing complex calculations that would be cumbersome to express in natural language.
  • Code Generation: To generate small code snippets for tasks like API calls or data extraction.
  • Debugging Assistance: To help diagnose and fix errors in existing Python code.

Key capabilities

  • Python Code Generation
  • Code Debugging
  • Code Execution
  • Data Manipulation (basic)
  • Algorithm Implementation (simple)

Example prompts

  • "Write a python script to calculate the factorial of 10."
  • "Debug this Python code: print('Hello world')"
  • “Generate a Python function that takes a list of numbers and returns their sum.”

Tips & gotchas

The skill is best suited for relatively short, self-contained Python snippets. Complex projects or large codebases may exceed its capabilities.