Async Python Patterns
Helps with Python, patterns as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add async-python-patterns npx -- -y @trustedskills/async-python-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"async-python-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/async-python-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides patterns and best practices for writing asynchronous code in Python, including the use of async/await, coroutines, event loops, and concurrency utilities like asyncio. It helps developers write efficient, scalable, and maintainable async applications.
When to use it
- Building high-performance web servers or APIs that handle many concurrent requests.
- Processing I/O-bound tasks such as network calls or file operations in parallel.
- Writing microservices or background workers that need non-blocking behavior.
Key capabilities
- Implementation of
async/awaitsyntax for defining coroutines. - Use of
asyncioto manage event loops and concurrency. - Best practices for handling exceptions, cancellation, and resource cleanup in async code.
Example prompts
- "Explain how to use
asyncio.gather()to run multiple coroutines concurrently." - "Show an example of writing a simple asynchronous HTTP client using Python."
- "What are common pitfalls when mixing synchronous and asynchronous code in Python?"
Tips & gotchas
- Ensure all async functions are properly awaited; otherwise, they may not execute as expected.
- Be cautious about blocking calls inside async functions—they can negate the benefits of concurrency.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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