performance is agent-read markdown (skill) from jnpiyush/agentx: Optimize application performance and scalability through async patterns, caching strategies, profiling, horizontal scaling, load balancing, and resource management. Use when diagnosing slow endpoints, implementing caching, profiling bottlenecks, planning system capacity, or designing stateless services..
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What the file says
# Performance & Scalability
> **Purpose**: Optimize application speed, throughput, resource usage, and scaling for production loads.
> **Strategy**: Profile first, optimize bottlenecks, measure impact, scale horizontally.
> **Note**: For language-specific implementations, see [C# Development](../../languages/csharp/SKILL.md) or [Python Development](../../languages/python/SKILL.md).
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## When to Use This Skill
- Diagnosing slow application endpoints
- Implementing caching strategies
- Profiling CPU or memory bottlenecks
- Optimizing database query performance
- Setting up performance monitoring and alerting
- Planning system capacity and scaling strategy
- Implementing load balancing or auto-scaling
- Adding message queues for async processing
- Designing stateless microservices
- Configuring database read replicas or sharding
## Prerequisites
- Application running in a profiling-capable environment
- Access to monitoring tools
## Decision Tree
```
Performance concern?
+- Not yet measured? -> Profile FIRST (don't guess)
| +- .NET -> dotnet-trace / BenchmarkDotNet
| +- Python -> cProfile / py-spy
| - Node.js -> clinic.js / --prof
+- Slow API response?
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_zjjbkpzm7vamlhhg
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/performance
GET https://markdownregistry.com/api/v1/blob/a64c8a32646077ef61667d8e8817691daed9ac46676d3a81690993962f7e1eb5
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