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Async Python Patterns Skill by @sickn33

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github stars★ 48,690updatedOct 2026repo@sickn33

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$git clone https://github.com/sickn33/agentic-awesome-skills

The skill is the skills/async-python-patterns folder inside that repository. Copy it into the folder your agent loads skills from; check your agent's documentation for where that is.

about Async Python Patterns Skill by @sickn33

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns.

our take

Guidance for writing asynchronous Python with asyncio: concurrent patterns and async/await for high-performance, non-blocking programs. It states when to use it and when not to, and ends with resources and limitations.

when to use it

You are writing a service that does a lot of network or file I/O
A synchronous script is too slow because it waits on requests
You are reviewing async code for blocking calls

before you install

Async helps with I/O-bound work, not CPU-bound work
Mixing blocking libraries into async code can quietly undo the benefit

what's inside

The original SKILL.md is organised into these sections:

Use this skill when
Do not use this skill when
Instructions
Resources
Limitations

source and license

Written and maintained by @sickn33. It is published under the MIT license, which allows reuse with attribution. SkillDirectory does not claim authorship: this page adds our own review and links back to the original, and the skill's text belongs to its author.

View the full SKILL.md on GitHub ↗

Read the opening of the original 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.
…

Excerpt only, quoted from the author's repository. Open the repository for the complete file.

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