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Writing Python

Checked
julianobarbosa·vlatest·backend·MIT

Helps with writing, Python as part of developing backend services and APIs workflows.

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 julianobarbosa/claude-code-skills --skill writing-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

julianobarbosa

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 julianobarbosa/claude-code-skills at 57f5fe8c0d.

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

Commit
57f5fe8c0d
Manifest
skills/writing-python/SKILL.md
Scanned
6 files, 1,358 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 assists AI agents with writing Python code, specifically focusing on backend service and API development workflows. It emphasizes core principles like prioritizing the standard library, using type hints extensively, favoring explicit code over implicit behavior, and raising errors early for faster debugging. The skill leverages a specific toolchain including uv for package management, ruff for linting and formatting, pytest for testing, and mypy for type checking.

When to use it

  • When developing backend APIs or services that require Python code generation.
  • For tasks involving the creation of data classes with default values.
  • To implement event handling logic using pattern matching.
  • When needing assistance with utilizing new features introduced in Python 3.14, such as deferred annotations and template strings.

Key capabilities

  • Type Hinting: Generates code incorporating type hints for functions and parameters.
  • Data Class Generation: Creates data classes with specified fields and default values.
  • Pattern Matching Implementation: Produces code utilizing pattern matching constructs for event handling or other logic.
  • Python 3.14 Feature Utilization: Demonstrates the use of new features like deferred annotations, template strings, and concurrent interpreters.
  • Toolchain Integration: Guides usage of uv, ruff, pytest, and mypy for package management, linting/formatting, testing, and type checking respectively.

Example prompts

  • "Write a Python function to process a list of users with an optional limit."
  • "Create a data class called 'Config' with fields for host (string), port (integer defaulting to 8080), and tags (list of strings)."
  • "Generate code to handle click and key events using pattern matching."

Tips & gotchas

  • This skill is designed for Python development focused on backend services, not general-purpose coding.
  • It strongly encourages adherence to the specified principles (stdlib first, type hints everywhere) which might influence generated code style.
  • Familiarity with the uv, ruff, pytest, and mypy tools will enhance your ability to utilize the skill effectively.