Asyncio
CheckedAsyncio enables concurrent task execution for improved performance and responsiveness in applications by handling multiple operations without blocking.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bobmatnyc/claude-mpm-skills --skill asyncio -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bobmatnyc
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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
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
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Pinned to a commit: passed
Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 718070a7d6
- Scanned
- 2 files, 1,637 lines
About this skill
The asyncio skill enables AI agents to write and execute asynchronous Python code, allowing them to handle multiple tasks concurrently without blocking execution threads. This capability is essential for managing I/O-bound operations efficiently in long-running scripts or applications.
When to use it
- Running non-blocking web scrapers that fetch data from multiple URLs simultaneously.
- Managing concurrent database queries to reduce total wait time.
- Executing background tasks like file monitoring while the main process remains responsive.
- Building high-performance network servers that handle thousands of connections at once.
Key capabilities
- Writing
asyncandawaitfunctions for cooperative multitasking. - Creating event loops to manage concurrent coroutines.
- Using
asyncio.gather()to run multiple tasks concurrently. - Implementing timeouts with
asyncio.wait_for()to prevent hanging operations.
Example prompts
- "Write an async Python script that fetches the current price of Bitcoin from three different APIs simultaneously and averages the results."
- "Create a coroutine that monitors a log file for specific keywords and sends alerts immediately when found, without stopping the monitoring process."
- "Generate code using asyncio to run 100 concurrent tasks that simulate slow network requests, ensuring the total execution time is significantly less than running them sequentially."
Tips & gotchas
Ensure your AI agent understands that async functions must be explicitly awaited or scheduled on an event loop; simply calling them does not trigger asynchronous behavior. Avoid mixing blocking code (like standard time.sleep()) inside async functions, as it will freeze the entire event loop and negate performance benefits.