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Async Python Patterns

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nilecui·vlatest·backend

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 nilecui/skillsbase --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

nilecui

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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.

  • No obfuscated payloads: passed

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  • No credential access: passed

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  • Pinned to a commit: passed

    Scanned nilecui/skillsbase at 85cbc8b9e1.

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Commit
85cbc8b9e1
Manifest
.cursor/skills/async-python-patterns/SKILL.md
Scanned
1 file, 649 lines
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About this skill

What it does

This skill provides a collection of asynchronous Python patterns and best practices. It enables AI agents to write more efficient and scalable code, particularly when dealing with I/O bound operations or concurrent tasks. The skill focuses on leveraging asyncio effectively to improve performance and responsiveness in backend applications.

When to use it

  • Building APIs: When developing API endpoints that require handling multiple requests concurrently (e.g., fetching data from external services).
  • Data Processing Pipelines: For creating pipelines that involve asynchronous tasks like downloading, transforming, and storing large datasets.
  • Real-time Applications: When building applications needing to handle many simultaneous connections or events in real time (e.g., chat servers, game backends).
  • Web Scraping: To scrape web pages concurrently, improving the speed of data extraction.

Key capabilities

  • Asynchronous function definitions using async def
  • Event loop management with asyncio
  • Coroutines and task scheduling
  • Handling asynchronous I/O operations (e.g., network requests)
  • Concurrency primitives like locks and semaphores for synchronization

Example prompts

  • "Write an async function to fetch data from this API endpoint."
  • "Create a coroutine that processes messages from a queue concurrently."
  • "Show me how to use asyncio.gather to run multiple tasks in parallel."

Tips & gotchas

This skill requires familiarity with Python and basic programming concepts. Ensure the agent has access to necessary libraries like asyncio and any external dependencies for specific I/O operations.