Skill UI

Run NVIDIA Cosmos Policy evaluations on LIBERO and RoboCasa simulations, enabling headless EGL GPU rendering, inference profiling, and benchmark workflows via public eval entrypoints.

A comprehensive guide to diagnosing and resolving performance bottlenecks in React applications. This skill teaches advanced techniques like state isolation, memoization (using `useMemo`, `useCallback`, and `React.memo`), and list virtualization. It guides users through profiling using React DevTools to identify render hotspots, ensuring components render efficiently and maintain high application responsiveness.

This skill provides a comprehensive audit workflow for diagnosing performance issues in SwiftUI applications. It begins with a code-first review, identifying common performance smells like invalidation storms or layout thrash. If code inspection is insufficient, it guides the user through collecting runtime profiling evidence (e.g., Instruments data) to pinpoint root causes such as janky scrolling, high CPU usage, or memory leaks.

Guides you through profiling scripts, processes, GPUs, memory, or interconnects with external tools and custom instrumentation, then summarizes CPU, memory, and communication bottlenecks plus actionable recommendations.

Guides Go developers through writing, running, and profiling benchmarks, interpreting pprof outputs, comparing regressions with benchstat, and tying results to CI or Prometheus metrics so you can make statistically sound performance decisions.

Guides Go engineers through production observability by covering structured logging with slog, Prometheus metrics, OpenTelemetry tracing, continuous profiling, RUM event tracking, alerting, and Grafana dashboards for observable services.

Golang performance optimization patterns and methodology; applies when profiling or benchmarks highlight a bottleneck and you need targeted solutions for allocations, CPU, GC tuning, caching, pooling, or hot-path code reviews.

This skill provides expert-level control over a live Chrome browser. It enables full web automation (clicking, form filling, navigation), deep debugging (analyzing console logs, network requests), visual inspection (screenshots, snapshots), and detailed performance profiling. Ideal for QA engineers, web scraping, and front-end development testing.