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Async Python patterns via asyncio and aiohttp for I/O-bound concurrency. Use when adding async APIs, handling concurrent I/O, or debugging async code.
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See how to installReview the instructions the agent will receive before you install.
asyncio and async/await patterns for Python applications.
import asyncio
async def main():
print("Hello")
await asyncio.sleep(1)
print("World")
asyncio.run(main())
This skill uses progressive loading. Content is organized into focused modules:
modules/basic-patterns.md - Core async/await, gather(), and task managementmodules/concurrency-control.md - Semaphores and locks for rate limitingmodules/error-handling-timeouts.md - Error handling, timeouts, and cancellationmodules/advanced-patterns.md - Context managers, iterators, producer-consumermodules/testing-async.md - Testing with pytest-asynciomodules/real-world-applications.md - Web scraping and database operationsmodules/pitfalls-best-practices.md - Common mistakes and best practicesLoad specific modules based on your needs, or reference all for detailed guidance.
RuntimeError: no current event loop
Use asyncio.run() as the entry point. Avoid get_event_loop() in Python 3.10+.
Blocking call in async context
Move sync I/O to asyncio.to_thread() or loop.run_in_executor().
Tests hang indefinitely
Ensure pytest-asyncio is installed and test functions are decorated with @pytest.mark.asyncio.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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