Asyncio Programming
CheckedThis skill enables asynchronous programming using Python’s `asyncio`, improving application performance and responsiveness by handling multiple tasks concurrently.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
Asyncio Programming, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add pluginagentmarketplace/custom-plugin-python --skill "Asyncio Programming" -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
pluginagentmarketplace
Taken from the source listing. We haven't verified who controls this account.
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
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 pluginagentmarketplace/custom-plugin-python at 4415517654.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 4415517654
- Scanned
- 4 files, 358 lines
About this skill
The asyncio-programming skill enables AI agents to execute non-blocking concurrent operations using Python's asyncio library, allowing for efficient handling of I/O-bound tasks without freezing the execution thread. It facilitates managing multiple coroutines simultaneously, making it ideal for network requests, file processing, and real-time data streams within a single-threaded environment.
When to use it
- Running multiple API calls concurrently to reduce total wait time compared to sequential execution.
- Processing large datasets or streaming data where blocking operations would cause performance bottlenecks.
- Building responsive applications that must handle user input while performing background computations.
- Managing complex event loops for real-time interactions in serverless or containerized environments.
Key capabilities
- Define and schedule asynchronous functions using
asyncandawaitsyntax. - Create and manage event loops to control the execution flow of coroutines.
- Implement concurrency patterns such as
asyncio.gather()for running tasks in parallel. - Handle exceptions and timeouts gracefully within asynchronous contexts.
Example prompts
- "Write an async Python script that fetches data from three different APIs simultaneously using asyncio."
- "Create a coroutine that processes a list of files asynchronously without blocking the main thread."
- "Design an event loop to handle incoming WebSocket connections and process messages concurrently."
Tips & gotchas
Ensure your AI agent understands the distinction between synchronous and asynchronous code to avoid runtime errors like RuntimeError: This event loop is already running. Limit concurrent tasks if the underlying I/O resources (like network bandwidth or disk speed) cannot scale linearly with added coroutines.