python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
pyroscope
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tidb-profiler-analyzer
Processes and analyzes TiDB profiler zip packages (CPU or heap) for components like TiDB, TiKV, PD, or TiFlash. It unzips, aggregates the profiler data, and uses `go tool pprof` to report on the most time-consuming functions (CPU) or highest memory allocations (heap).
python-performance-optimization
Python performance optimization patterns using profiling, algorithmic improvements, and acceleration techniques. Use when optimizing slow Python code, reducing memory usage, or improving application throughput and latency.
code-profiler
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
react-performance
Master React performance optimization with memoization, code splitting, profiling, and Web Vitals monitoring
performance-optimizer
Activates when user needs help with performance optimization, profiling, or improving code efficiency. Triggers on "optimize performance", "make this faster", "reduce memory", "profile this", "performance issues", "slow code", "improve speed", or efficiency-related questions.
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
go-performance
Go performance optimization - profiling, benchmarks, memory management
java-performance
JVM performance tuning - GC optimization, profiling, memory analysis, benchmarking
rust-performance
Master Rust performance - profiling, benchmarking, and optimization
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.
performance
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custom-plugin-flutter-skill-performance
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
performance-optimization
Optimize Node.js application performance with caching, clustering, profiling, and monitoring techniques
Performance Optimizer
Optimize application performance and scalability. Use when investigating slow applications, scaling bottlenecks, or improving response times. Covers profiling, caching, database optimization, and frontend performance.
r3f-performance
R3F performance optimization—LOD (Level of Detail), frustum culling, instancing strategies, draw call reduction, frame budgets, lazy loading, and profiling tools. Use when optimizing render performance, handling large scenes, or debugging frame rate issues.
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