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Async Python Patterns

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rmyndharis·vlatest·backend·MIT

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

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 rmyndharis/antigravity-skills --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

rmyndharis

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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.

  • 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.

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Scanned
2 files, 673 lines
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About this skill

What it does

This skill provides access to a collection of asynchronous Python patterns. It enables AI agents to write efficient and concurrent code using asyncio, handling I/O-bound tasks effectively, and improving overall application responsiveness. The skill focuses on practical implementations for common asynchronous programming scenarios.

When to use it

  • Building APIs: When developing an API that needs to handle many requests concurrently (e.g., a microservice).
  • Web Scraping: To scrape websites efficiently by making multiple requests in parallel without blocking the main thread.
  • Data Processing Pipelines: For processing large datasets where I/O operations are dominant, such as reading from databases or external APIs.
  • Real-time Applications: When creating applications that require real-time updates and responsiveness, like chat servers or game backends.

Key capabilities

  • Asynchronous function definitions using async def.
  • await keyword for non-blocking operations.
  • Event loops and coroutines management.
  • Concurrency primitives (e.g., asyncio.Semaphore).

Example prompts

  • "Write an asynchronous Python function to fetch data from three different URLs concurrently."
  • "Show me how to use asyncio to create a simple web server that handles multiple requests at once."
  • “Generate code for a rate limiter using asyncio.”

Tips & gotchas

  • Requires a basic understanding of Python and asynchronous programming concepts.
  • Be mindful of potential race conditions when dealing with shared resources in concurrent environments; use appropriate synchronization mechanisms.