Solve Python concurrency challenges across asyncio, threading, and multiprocessing.
npx skills add https://github.com/randalmurphal/claude-config --skill async-python
Please help me install this Agent Skill. Skill: async-python Source: https://github.com/randalmurphal/claude-config/tree/main/skills/async-python Command: npx skills add https://github.com/randalmurphal/claude-config --skill async-python
Python async/await patterns with asyncio, concurrent.futures, threading, and multiprocessing. Covers async context managers, timeouts, cancellation, common pitfalls (blocking in async, missing await, event loop issues), and choosing between async/threading/multiprocessing. Use when writing async code, debugging async issues, choosing concurrency approaches, or testing async functions.
Proactively design async code paths and testing strategies. Example: to run a coroutine, define async def main(): ... and use asyncio.run(main()).
High-intent search queries and answers about installing and using this skill.
Choose based on workload type: asyncio for I/O-bound operations with non-blocking event loops, threading for lightweight I/O concurrency, and multiprocessing for CPU-bound tasks requiring true parallelism. asyncio excels with network and database operations; threading suits file I/O; multiprocessing handles compute-intensive work.
Blocking the event loop with synchronous operations, forgetting await on coroutines, improper event loop management, and missing timeout/cancellation handling. These cause hangs, silent failures, and resource leaks. Apply await consistently, use async context managers, and implement proper error handling across async tasks.
Test async functions using frameworks designed for coroutine execution, mock async dependencies, and verify concurrent behavior under realistic conditions. Validate timeout handling, cancellation logic, and error propagation across multiple concurrent tasks to ensure correct async patterns.
Yes. async/await works directly with I/O-bound operations including network requests, file access, and database queries. Pair asyncio with async-compatible libraries for these operations to avoid blocking the event loop and maximize concurrency across multiple I/O operations.
Use asyncio.timeout() or asyncio.wait_for() to enforce time limits on tasks, and asyncio.CancelledError to handle cancellation. Implement proper cleanup in async context managers to release resources when tasks are cancelled or timeout occurs.
shredbxImplement asynchronous Python applications with asyncio for non-blocking I/O.
ericdahl-devMonitor live applications for console errors, performance issues, and failures post-deployment.
bobmatnycOrchestrate coroutines and event loops for non-blocking Python concurrency.
bennybennisonSelect Python concurrency models for I/O-bound, CPU-bound, and parallel workloads.
