memory-management-optimization
Debug memory leaks, profile memory usage, optimize allocations. Use when heap grows unexpectedly, OOM errors occur, or profiling shows memory bottleneck. Covers C++ (Valgrind, ASAN, RAII), Python (tracemalloc, objgraph), and general patterns.
optimization-performance
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performance-testing
Performance testing guidance including load testing with k6, locust, and artillery, benchmarking strategies, profiling techniques, metrics analysis, performance budgets, and bottleneck identification. Use when setting up performance tests, analyzing system behavior under load, or optimizing application performance. Trigger keywords: performance testing, load testing, k6, locust, artillery, benchmarking, profiling, latency, throughput, performance budget, bottleneck, stress testing, scalability testing.
performance-optimization
Performance profiling, optimization techniques, and bottleneck identification. Use when addressing performance issues or optimizing systems.
Performance Optimization
Full-stack performance analysis, optimization patterns, and monitoring strategies
matlab-performance-optimizer
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
performance-profiler
Analyze code performance patterns and identify optimization opportunities.
cpu-profiling
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
memory-optimization
Profile and optimize application memory usage. Identify memory leaks, reduce memory footprint, and improve efficiency for better performance and reliability.
performance-regression-debugging
Identify and debug performance regressions from code changes. Use comparison and profiling to locate what degraded performance and restore baseline metrics.
discover-debugging
Automatically discover debugging and profiling skills when working with debugging. Activates for debugging development tasks.
optimizing-performance
Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when asked about performance issues.
swiftui-performance-audit
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
native-app-performance
Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments UI.
swiftui-performance-audit
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
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