async-programming-skill
This skill provides async/await patterns and best practices for concurrent programming
Best use case
async-programming-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill provides async/await patterns and best practices for concurrent programming
Teams using async-programming-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/async-programming-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How async-programming-skill Compares
| Feature / Agent | async-programming-skill | 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?
This skill provides async/await patterns and best practices for concurrent programming
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.
SKILL.md Source
# Async Programming
## Purpose
Async/await enables non-blocking concurrent operations. This skill documents patterns for safe async code.
## When to Use
Use this skill when:
- Working with I/O operations
- Building concurrent systems
- Managing timeouts
- Implementing cancellation
## Key Patterns
### 1. All I/O is Async
Never use blocking I/O:
```python
# WRONG
with open(file) as f:
data = json.load(f)
# CORRECT
async with aiofiles.open(file) as f:
data = await f.read()
```
### 2. Timeout Protection
All async operations need timeouts:
```python
try:
result = await asyncio.wait_for(operation(), timeout=30.0)
except asyncio.TimeoutError:
# Handle timeout
```
### 3. Error Handling
Async operations need proper error handling:
```python
async def safe_operation():
try:
return await risky_operation()
except Exception as e:
logger.error(f"Operation failed: {e}")
raise TradingError(...) from e
```
## See Also
- Python asyncio: https://docs.python.org/3/library/asyncio.htmlRelated Skills
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