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Asyncio Concurrency Patterns

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manutej·vlatest·backend

Implements advanced asyncio concurrency patterns like task groups, pipelines, and semaphores for efficient asynchronous code.

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 manutej/luxor-claude-marketplace --skill asyncio-concurrency-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

manutej

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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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 7 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: discuss.python.org, ipv4.download.thinkbroadband.com, peps.python.org, python.org, unstable-api.com….

    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.

    Hosts contacted

    python.orgundeclareddocs.python.orgdocumentationpypi.orgpackage registrygithub.comsource hostwww.python.orgundeclaredipv4.download.thinkbroadband.comundeclareddiscuss.python.orgundeclaredpeps.python.orgundeclaredwiki.python.orgundeclaredunstable-api.comundeclared

    What it found (3 of 18)

    • plugins/luxor-specialized-tools/skills/asyncio-concurrency-patterns/CONTEXT7_SNIPPETS.md:49contacts python.org
      async with session.get('http://python.org') as resp:
    • plugins/luxor-specialized-tools/skills/asyncio-concurrency-patterns/CONTEXT7_SNIPPETS.md:153contacts python.org
      async with session.get('http://python.org') as response:
    • plugins/luxor-specialized-tools/skills/asyncio-concurrency-patterns/EXAMPLES.md:60contacts python.org
      'http://python.org',

  • 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 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 manutej/luxor-claude-marketplace at 1861cc9720.

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

Commit
1861cc9720
Manifest
plugins/luxor-specialized-tools/skills/asyncio-concurrency-patterns/SKILL.md
Scanned
5 files, 4,325 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.
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About this skill

What it does

This skill enables AI agents to execute concurrent tasks using Python's asyncio library, allowing non-blocking I/O operations and efficient handling of multiple coroutines. It streamlines the implementation of asynchronous patterns such as task scheduling, timeouts, and result aggregation for high-performance applications.

When to use it

  • Building web scrapers or API clients that need to fetch data from multiple endpoints simultaneously without freezing the main thread.
  • Managing long-running background jobs where tasks must be cancelled gracefully if a timeout is exceeded.
  • Orchestrating complex workflows involving sequential and parallel execution steps within a single Python script.

Key capabilities

  • Task Management: Create, schedule, and run multiple asynchronous tasks concurrently using asyncio.create_task.
  • Concurrency Control: Implement timeouts for individual tasks to prevent hanging operations using asyncio.wait_for.
  • Result Aggregation: Collect outcomes from concurrent tasks efficiently using asyncio.gather or asyncio.as_completed.
  • Event Loop Integration: Directly interact with the event loop to manage coroutine execution and scheduling.

Example prompts

  • "Create an async function that fetches weather data for five cities concurrently and returns a summary of all results."
  • "Write code to run three background tasks: one to save logs, one to send notifications, and one to update the database, with a 10-second timeout on each."
  • "Implement an asynchronous worker pool that processes a list of user requests using asyncio.gather and handles any failures gracefully."

Tips & gotchas

Ensure your target functions are explicitly defined as async def coroutines; standard synchronous functions will block the event loop and negate concurrency benefits. Avoid heavy CPU-bound computations inside async tasks, as they should be offloaded to separate threads or processes using loop.run_in_executor.