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Async Python Patterns

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wshobson·vlatest·backend·MIT

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

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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 wshobson/agents --skill async-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

wshobson

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Install target

Live repository

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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.

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    Makes no network calls.

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  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

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Commit
46891e7e60
Manifest
plugins/python-development/skills/async-python-patterns/SKILL.md
Scanned
2 files, 692 lines
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About this skill

What it does

This skill provides patterns and best practices for writing asynchronous code in Python, including the use of async/await, coroutines, event loops, and concurrency utilities like asyncio. It helps developers write efficient, scalable, and maintainable async applications.

When to use it

  • Building high-performance web servers or APIs that handle many concurrent requests.
  • Processing I/O-bound tasks such as network calls or file operations in parallel.
  • Writing microservices or background workers that need non-blocking behavior.

Key capabilities

  • Implementation of async/await syntax for defining coroutines.
  • Use of asyncio to manage event loops and concurrency.
  • Best practices for handling exceptions, cancellation, and resource cleanup in async code.

Example prompts

  • "Explain how to use asyncio.gather() to run multiple coroutines concurrently."
  • "Show an example of writing a simple asynchronous HTTP client using Python."
  • "What are common pitfalls when mixing synchronous and asynchronous code in Python?"

Tips & gotchas

  • Ensure all async functions are properly awaited; otherwise, they may not execute as expected.
  • Be cautious about blocking calls inside async functions—they can negate the benefits of concurrency.