performance-profiling

Bundle analysis identifies large chunks, duplicates, and unused libraries to reduce web application bundle size. This process isolates redundant code within your build output, allowing you to remove unnecessary dependencies and streamline asset delivery.

Memory profiling provides dedicated tools for heap snapshot analysis to identify excessive memory usage. By capturing and inspecting the heap, you can pinpoint memory leaks, identify retained objects, and optimize garbage collection behavior.

Database query profiling improves read performance by offering strategies for adding indexes and using `.lean()` for read-only queries. This reduces query execution time and minimizes memory overhead by returning plain JavaScript objects.

Frontend profiling utilizes Lighthouse to audit performance and improve page load times. It runs comprehensive audits against your web pages, generating actionable metrics and scores for accessibility, best practices, and loading efficiency.

No external dependencies are required to run this performance optimization workflow. The skill operates independently through its internal scripts, providing a structured approach to performance tuning without needing additional package installations.

Low Lighthouse scores can persist despite code splitting due to unoptimized memory usage, inefficient database queries, or large unanalyzed bundle chunks. A structured optimization workflow evaluates all these metrics to find remaining bottlenecks.