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Python Async Advisor

Checked
jorgealves·vlatest·backend·GPL-3.0

Provides optimized asynchronous Python code suggestions and debugging assistance for complex backend tasks.

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 jorgealves/agent_skills --skill python-async-advisor -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

jorgealves

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Live repository

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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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  • Pinned to a commit: passed

    Scanned jorgealves/agent_skills at 85014ad37d.

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Commit
85014ad37d
Manifest
python-async-advisor/SKILL.md
Scanned
2 files, 50 lines
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About this skill

What it does

This skill provides advisory guidance for implementing asynchronous patterns in Python applications. It helps developers navigate best practices for writing efficient, non-blocking code using libraries like asyncio.

When to use it

  • You need help structuring event loops and coroutines for high-concurrency tasks.
  • You are debugging race conditions or blocking I/O issues in your backend services.
  • You want to optimize Python scripts that perform multiple network or disk operations simultaneously.
  • You require advice on integrating async patterns with existing synchronous codebases.

Key capabilities

  • Advises on asyncio library implementation strategies.
  • Recommends patterns for managing concurrent tasks and threads.
  • Provides guidance on avoiding common pitfalls in asynchronous programming.
  • Suggests optimizations for non-blocking I/O operations.

Example prompts

  • "How do I refactor this synchronous database query loop into an async version using asyncio?"
  • "What are the best practices for handling multiple concurrent API requests without blocking the main thread?"
  • "I'm getting a 'RuntimeError: Event loop is closed' error; how can I fix my Python script's event loop management?"

Tips & gotchas

Ensure you have a solid understanding of Python's asyncio module before relying on this skill for complex architectural decisions. While it offers guidance, testing your specific async logic in a real environment remains essential to verify performance and stability.