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python-async-runtime

Write correct async Python runtime code with explicit blocking-I/O boundaries, cancellation, and timeout handling. Use when editing `asyncio` workflows, background loops, async services, or mixed sync/async integrations.

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  • SKILL.md1.5 KB
  • evals/evals.json1.2 KB
  • references/async-boundaries.md379 B

SKILL.md (original)

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Python Async Runtime

Priority: P1 (HIGH)

Rules

  • Keep blocking DB, subprocess, and legacy HTTP calls out of event-loop code.
  • Use asyncio.to_thread only as an explicit boundary around blocking libraries.
  • Make timeout and cancellation behavior visible in the call path.
  • Track long-lived tasks, cleanup, and retries deliberately.

Recipe

  1. Use async-native clients first.
  2. Wrap blocking calls once at the adapter seam.
  3. Propagate cancellation and timeout context instead of swallowing it.
  4. Separate poll loop logic from work-item processing.
  5. Test the timeout and error path, not only the happy path.

Anti-Patterns

  • No direct blocking I/O inside async def.
  • No hidden infinite loops without stop condition or observability.
  • No broad except Exception around await chains that erases task state.
  • No orphan background tasks without lifecycle ownership.

References

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