Profile CPU and memory usage to diagnose performance bottlenecks.
npx skills add https://github.com/gitgoodordietrying/moltbook-app --skill perf-profiler
Please help me install this Agent Skill. Skill: perf-profiler Source: https://github.com/gitgoodordietrying/moltbook-app/tree/main/skills/perf-profiler Command: npx skills add https://github.com/gitgoodordietrying/moltbook-app --skill perf-profiler
Performance bottlenecks across applications can be hard to identify without proper profiling. This Skill provides systematic methods to measure CPU and memory usage, locate hot paths, and spot leaks, enabling targeted optimizations.
Start by profiling your running application, generate a flame graph, and review the top hot paths to guide optimization.
High-intent search queries and answers about installing and using this skill.
Profile CPU and memory usage by capturing runtime metrics with language-specific tools to locate hot paths and memory leaks. This Skill provides systematic methods to measure resource consumption, enabling targeted optimizations across codebases, APIs, and services.
Generate a flame graph by profiling your running application and visualizing the collected stack traces. This Skill helps you create flame graphs to pinpoint hot functions and code paths, visually highlighting bottlenecks to guide your optimization efforts.
Yes, this profiling approach works with Node.js, Python, and Go runtimes. It requires specific tooling like the Node.js V8 inspector, Python profilers such as cProfile and memory_profiler, and Go pprof on compatible Linux, macOS, or Windows environments.
Yes, you can run load testing and benchmarking to validate performance under realistic workloads. This Skill enables you to simulate traffic and measure how your application behaves, ensuring stability and identifying degradation before production deployment.
Detect memory leaks by analyzing heap snapshots to spot unexpected memory growth and orphaned objects. This Skill provides memory analysis patterns that help you compare snapshots over time, identifying leaks within your application's lifecycle.
Slow performance often stems from inefficient code paths and resource bottlenecks. You can locate hot paths by CPU profiling your application, which pinpoints the exact functions consuming the most execution time and guides your targeted optimizations.
EdanStarfireManage processes by PID across Windows, Linux, and macOS.
AbsolutelySkilledDiagnose application performance with CPU profiling, heap snapshots, and flame graphs.
mymx2Diagnose Kotlin and Spring failures by analyzing stack traces and startup logs.
JansenAnalyticsMonitor application logs and stderr to detect errors, crashes, and exceptions.
