python-async-patterns
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Best use case
python-async-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "python-async-patterns" skill to help with this workflow task. Context: Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/python-async-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-async-patterns Compares
| Feature / Agent | python-async-patterns | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Python Async Patterns
Asyncio patterns for concurrent Python programming.
## Core Concepts
```python
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
```python
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
```python
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+)
```python
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
```python
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
```python
# 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)
```
```python
# 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
```python
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 accessRelated Skills
python-design-patterns
Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use when making architecture decisions, refactoring code structure, or evaluating when abstractions are appropriate.
design-system-patterns
Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.
vercel-composition-patterns
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture.
ui-component-patterns
Build reusable, maintainable UI components following modern design patterns. Use when creating component libraries, implementing design systems, or building scalable frontend architectures. Handles React patterns, composition, prop design, TypeScript, and component best practices.
zapier-make-patterns
No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points. This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power
workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
workflow-orchestration-patterns
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
wcag-audit-patterns
Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.
unity-ecs-patterns
Master Unity ECS (Entity Component System) with DOTS, Jobs, and Burst for high-performance game development. Use when building data-oriented games, optimizing performance, or working with large entity counts.
temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
temporal-python-pro
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
stride-analysis-patterns
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.