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Python Development

Checked
laurigates·vlatest·backend·MIT

Develops, debugs, and optimizes Python backend code, leveraging best practices and frameworks like Django/Flask.

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-development -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-development/SKILL.md
Scanned
2 files, 609 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 execute Python code directly within their environment, allowing for dynamic data processing and script generation. It facilitates immediate validation of logic by running snippets without requiring a separate local setup.

When to use it

  • Quickly prototyping data analysis scripts or mathematical models during a session.
  • Automating repetitive file system tasks like renaming, moving, or parsing log files.
  • Generating and testing unit tests for existing codebases on the fly.
  • Processing large datasets that exceed the context window of standard text generation.

Key capabilities

  • Direct execution of Python scripts within the agent's runtime environment.
  • Real-time output display of code results, errors, and logs.
  • Support for standard Python libraries commonly available in backend environments.
  • Ability to handle multi-step workflows involving data manipulation and transformation.

Example prompts

  • "Write a Python script to read this CSV file, calculate the average value in the 'price' column, and output the result."
  • "Create a function that takes a list of strings and returns a new list with only the unique items sorted alphabetically."
  • "Generate code to parse these JSON logs and extract all error messages into a separate text file."

Tips & gotchas

Ensure your AI agent has access to necessary Python packages; if a specific library is required, you may need to install it before execution. Complex scripts with external dependencies might fail if the environment does not match your local setup exactly.