mcpbeat

Python Async Patterns

aiskillstore/python-async-patterns

Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.

This is a copy. The original lives at comeonoliver/python-async-patterns.

30k tokens
context cost
the whole folder, loaded on every use
11
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
404
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/aiskillstore/marketplace --skill python-async-patterns

What comes with it

115 294 bytes besides the instruction
assets/async-project-template.py
references/aiohttp-patterns.md
references/concurrency-patterns.md
references/debugging-async.md
references/error-handling.md
references/mixing-sync-async.md
references/performance.md
references/production-patterns.md
scripts/find-blocking-calls.sh
skill-report.json

The instruction itself

13 sections, as written by the author

Python Async Patterns

Asyncio patterns for concurrent Python programming.

Core Concepts

import asyncio

# Coroutine (must be awaited)
async def fetch(url: str) -> str:
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as response:
            return await response.text()

# Entry point
async def main():
    result = await fetch("https://example.com")
    return result

asyncio.run(main())

Pattern 1: Concurrent with gather

async def fetch_all(urls: list[str]) -> list[str]:
    """Fetch multiple URLs concurrently."""
    async with aiohttp.ClientSession() as session:
        tasks = [fetch_one(session, url) for url in urls]
        return await asyncio.gather(*tasks, return_exceptions=True)

Pattern 2: Bounded Concurrency

async def fetch_with_limit(urls: list[str], limit: int = 10):
    """Limit concurrent requests."""
    semaphore = asyncio.Semaphore(limit)

    async def bounded_fetch(url):
        async with semaphore:
            return await fetch_one(url)

    return await asyncio.gather(*[bounded_fetch(url) for url in urls])

Pattern 3: TaskGroup (Python 3.11+)

async def process_items(items):
    """Structured concurrency with automatic cleanup."""
    async with asyncio.TaskGroup() as tg:
        for item in items:
            tg.create_task(process_one(item))
    # All tasks complete here, or exception raised

Pattern 4: Timeout

async def with_timeout():
    try:
        async with asyncio.timeout(5.0):  # Python 3.11+
            result = await slow_operation()
    except asyncio.TimeoutError:
        result = None
    return result

Critical Warnings

# WRONG - blocks event loop
async def bad():
    time.sleep(5)         # Never use time.sleep!
    requests.get(url)     # Blocking I/O!

# CORRECT
async def good():
    await asyncio.sleep(5)
    async with aiohttp.ClientSession() as s:
        await s.get(url)
# WRONG - orphaned task
async def bad():
    asyncio.create_task(work())  # May be garbage collected!

# CORRECT - keep reference
async def good():
    task = asyncio.create_task(work())
    await task

Quick Reference

| Pattern | Use Case |

|---------|----------|

| gather(*tasks) | Multiple independent operations |

| Semaphore(n) | Rate limiting, resource constraints |

| TaskGroup() | Structured concurrency (3.11+) |

| Queue() | Producer-consumer |

| timeout(s) | Timeout wrapper (3.11+) |

| Lock() | Shared mutable state |

Async Context Manager

from contextlib import asynccontextmanager

@asynccontextmanager
async def managed_connection():
    conn = await create_connection()
    try:
        yield conn
    finally:
        await conn.close()

Additional Resources

For detailed patterns, load:

  • ./references/concurrency-patterns.md - Queue, Lock, producer-consumer
  • ./references/aiohttp-patterns.md - HTTP client/server patterns
  • ./references/mixing-sync-async.md - run_in_executor, thread pools
  • ./references/debugging-async.md - Debug mode, profiling, finding issues
  • ./references/production-patterns.md - Graceful shutdown, health checks, signal handling
  • ./references/error-handling.md - Retry with backoff, circuit breakers, partial failures
  • ./references/performance.md - uvloop, connection pooling, buffer sizing

Scripts

  • ./scripts/find-blocking-calls.sh - Scan code for blocking calls in async functions

Assets

  • ./assets/async-project-template.py - Production-ready async app skeleton

See Also

Prerequisites:

  • python-typing-patterns - Type hints for async functions

Related Skills:

  • python-fastapi-patterns - Async web APIs
  • python-observability-patterns - Async logging and tracing
  • python-database-patterns - Async database access

How to use it

Copy the folder

Take aiskillstore/python-async-patterns from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.