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async-python-patterns

Skill2 starsChanged 41 days agoMITView on GitHub

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

19 other projects use a version of this, 2 of them edited.

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Projects with it also use docs-ci, docs-interfaces and 10 more.

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The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Add timeouts, backpressure, and structured error handling.

    line 31
  2. Very specific:

    If detailed examples are required, open resources/implementation-playbook.md.

    line 33
  3. Distinctive:

    Use this skill only when the task clearly matches the scope described above.

    line 42
  4. Distinctive:

    Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

    line 43
  5. Distinctive:

    Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

    line 44

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Async Python Patterns

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

Use this skill when

  • Building async web APIs (FastAPI, aiohttp, Sanic)
  • Implementing concurrent I/O operations (database, file, network)
  • Creating web scrapers with concurrent requests
  • Developing real-time applications (WebSocket servers, chat systems)
  • Processing multiple independent tasks simultaneously
  • Building microservices with async communication
  • Optimizing I/O-bound workloads
  • Implementing async background tasks and queues

Do not use this skill when

  • The workload is CPU-bound with minimal I/O.
  • A simple synchronous script is sufficient.
  • The runtime environment cannot support asyncio/event loop usage.

Instructions

  • Clarify workload characteristics (I/O vs CPU), targets, and runtime constraints.
  • Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
  • Add timeouts, backpressure, and structured error handling.
  • Include testing and debugging guidance for async code paths.
  • If detailed examples are required, open resources/implementation-playbook.md.

Refer to resources/implementation-playbook.md for detailed patterns and examples.

Resources

  • resources/implementation-playbook.md for detailed patterns and examples.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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