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Ramalho Fluent Python

Checked
copyleftdev·vlatest·backend·Apache-2.0

Generates clean, idiomatic Python code adhering to Fluent Python principles for robust backend solutions.

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 copyleftdev/sk1llz --skill ramalho-fluent-python -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

copyleftdev

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 copyleftdev/sk1llz at 92361f525f.

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

Commit
92361f525f
Manifest
languages/python/ramalho/SKILL.md
Scanned
1 file, 254 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 provides AI agents with expertise in Fluent Python, allowing them to generate and understand idiomatic Python code. It enables agents to leverage advanced language features like comprehensions, generators, and decorators effectively. The skill aims to improve the quality and efficiency of Python-related tasks performed by AI agents.

When to use it

  • Code Generation: When you need an agent to write complex Python scripts or functions based on natural language descriptions.
  • Code Review & Refactoring: To have an agent analyze existing Python code for style, performance, and potential improvements.
  • Python Documentation Creation: For generating clear and concise documentation from Python source code.
  • Debugging Assistance: When troubleshooting Python errors or understanding unfamiliar codebase.

Key capabilities

  • Fluent Python syntax comprehension
  • Code generation using comprehensions and generators
  • Decorator usage and explanation
  • Idiomatic Python coding practices

Example prompts

  • "Write a Python function to calculate the Fibonacci sequence using a generator."
  • "Refactor this Python code snippet to be more readable and efficient, explaining each change."
  • "Explain how decorators work in Python with an example."

Tips & gotchas

This skill assumes basic familiarity with Python programming concepts. While it can generate complex code, understanding the underlying principles will help you effectively utilize its capabilities.