Add repo-wide auditing and targeted repair scripts for skill metadata. Fix truncated descriptions automatically, keep heading normalization conservative, and remove synthetic boilerplate sections that degrade editorial quality while regenerating repo indexes and catalogs. Fixes #365
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name, description, risk, source, date_added
| name | description | risk | source | date_added |
|---|---|---|---|---|
| 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. | unknown | community | 2026-02-27 |
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.
- Pick concurrency patterns (tasks, gather, queues, pools) with cancellation rules.
- Add timeouts, backpressure, and structured error handling.
- Include testing and debugging guidance for async code paths.
- If detailed examples are required, open
resources/implementation-playbook.md.
Refer to resources/implementation-playbook.md for detailed patterns and examples.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.