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Python Patterns

Checked
vudovn·vlatest·backend·MIT

Helps with Python, patterns 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 vudovn/ag-kit --skill python-patterns -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

vudovn

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 vudovn/ag-kit at 549ba3dc2e.

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

Commit
549ba3dc2e
Manifest
.agents/skills/python-patterns/SKILL.md
Scanned
1 file, 408 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

The python-patterns skill equips AI agents with a curated library of established Python design patterns and architectural best practices. It enables agents to generate, refactor, and optimize backend code by applying proven solutions for common programming challenges like object creation, structural organization, and behavioral logic.

When to use it

  • Generating production-ready boilerplate code that adheres to standard Python conventions.
  • Refactoring legacy scripts to incorporate modern design patterns such as Singleton or Factory.
  • Solving complex architectural problems by selecting the appropriate pattern for a specific domain need.
  • Ensuring code consistency across a project by enforcing uniform structural approaches.

Key capabilities

  • Access to a comprehensive collection of Python-specific design patterns.
  • Ability to implement structural, creational, and behavioral coding strategies.
  • Support for generating clean, maintainable backend logic aligned with industry standards.

Example prompts

  • "Implement the Observer pattern in Python to handle real-time user notifications in this event-driven system."
  • "Refactor this monolithic script to use the Strategy pattern so I can swap algorithms at runtime without changing client code."
  • "Generate a Python class structure using the Factory method pattern to dynamically create different types of database connectors."

Tips & gotchas

Ensure your project dependencies are up to date, as some patterns may rely on specific library versions. While this skill provides structural guidance, you must still validate that the generated logic fits your specific business requirements and data constraints.