Skill UI

Guidewire Debug Bundle consolidates Gosu and cloud API tracing, log analysis, and JVM profiling to resolve InsuranceSuite issues, from attachable remote debugging through IntelliJ to query plan and memory inspections.

Profiles application performance by analyzing CPU usage, memory allocation, and execution time with the application-profiler plugin, then identifies bottlenecks and suggests code-level optimizations for faster execution.

This comprehensive guide provides methods for profiling, analyzing, and optimizing Python code. It covers advanced techniques such as CPU profiling, memory leak mitigation, improving I/O operations, and optimizing database queries. Use this skill when diagnosing slow-running applications, reducing system latency, or implementing high-performance, resource-efficient algorithms in a production environment.

Comprehensive performance profiling for Node.js, Python, and Go apps that spots CPU, memory, I/O, bundle, and database bottlenecks plus runs load tests, always measuring before and after optimizations.

Diagnose and fix Odoo performance bottlenecks by tuning PostgreSQL queries, adjusting worker/memory limits, and applying profiling insights to achieve faster page loads and stable production behavior.

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 engineers through benchmarking, profiling, and regression tracking using Go test, pprof, benchstat, and other tooling to measure CPU/memory/trace profiles and sustain statistically sound performance insights.