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async-python-patterns

async-python-patterns

github.com/sickn33Development49.1k389 installsUpdated today
Repository

About async-python-patterns

async-python-patterns is a skill for designing asynchronous Python applications with asyncio and async/await. It helps developers working on I/O-heavy APIs, services, and task processing choose concurrency patterns and account for cancellation, timeouts, and testing.

Key features

  1. 01Choose task, gather, queue, and pool patterns
  2. 02Handle cancellation and timeouts
  3. 03Plan backpressure and error handling
  4. 04Guide async testing and debugging

Use cases

  1. 01Build APIs with FastAPI, aiohttp, or Sanic
  2. 02Run concurrent database, file, or network I/O
  3. 03Create concurrent web scrapers
  4. 04Process background tasks and queues

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/sickn33/agentic-awesome-skills --skill async-python-patterns

After installing, type/async-python-patternsin Claude Code to confirm it loaded.

Bundled filesresources/implementation-playbook.md

Details

From the project README

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.

Comments

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