Async Python Patterns
CheckedHelps with Python, patterns as part of developing backend services and APIs workflows.
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Showing Claude Code. One command installs this skill into any of the agents below.
- 1
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terminal$ npx skills add acaprino/daodan --skill async-python-patterns -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
acaprino
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Live repository
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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.
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Scanned acaprino/alfio-claude-plugins at 10363691a2.
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- Commit
- 10363691a2
- Scanned
- 6 files, 1,224 lines
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About this skill
What it does
This skill provides a collection of asynchronous Python patterns and best practices. It allows AI agents to write more efficient and scalable code by leveraging async and await keywords, coroutines, and other techniques for concurrent programming in Python. The skill aims to improve the performance and responsiveness of applications dealing with I/O-bound operations.
When to use it
- Building APIs: When developing asynchronous API endpoints that need to handle many requests concurrently.
- Web Scraping: For scraping data from websites where you want to make multiple requests in parallel without blocking the main thread.
- Real-time Applications: In applications like chat servers or game backends requiring non-blocking operations and responsiveness.
- Data Processing Pipelines: To optimize pipelines involving I/O, such as reading from databases or writing to files.
Key capabilities
- Asynchronous function definitions using
async def - Coroutine creation with
await - Event loop management for concurrency
- Best practices for handling asynchronous exceptions
- Techniques for avoiding blocking operations in async code
Example prompts
- "Write an asynchronous Python function to fetch data from a REST API."
- "Show me how to use
asyncio.gatherto run multiple coroutines concurrently." - "Give me an example of handling exceptions within an asynchronous context."
Tips & gotchas
This skill requires a basic understanding of Python and asynchronous programming concepts. Be mindful of potential deadlocks or race conditions when using concurrency, and ensure your code is properly tested for correctness.