Async Python Patterns
If you're building anything with FastAPI, aiohttp, or need to handle concurrent I/O operations without blocking, this gives you structured guidance on asyncio patterns. It covers the practical stuff like task management, queues, timeouts, and backpressure handling, plus points you to a playbook with concrete examples. The scope is appropriately narrow: it's honest about when not to use async (CPU-bound work, simple scripts) and focuses on I/O-heavy scenarios like web scrapers, WebSocket servers, and microservices. Good guardrails around testing and error handling for async code, which is where things usually get messy.
- skills.sh installs
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- GitHub stars
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- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill async-python-patterns --agent claude-codeInstalls into .claude/skills of the current project.
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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
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- Category
- Python
- First seen
- Jun 3, 2026
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