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.
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).
measuring-pr-performance-impact
Measures GraphQL resolver latency changes before/after a PR merge using Datadog metrics. Use when analyzing PR performance impact, measuring latency changes, or comparing resolver performance before and after a code change.
react-performance-optimization
React performance optimization patterns using memoization, code splitting, and efficient rendering strategies. Use when optimizing slow React applications, reducing bundle size, or improving user experience with large datasets.
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.
