Analyze JVM diagnostic files to detect performance issues and generate reports.
npx skills add https://github.com/adrianprecub/blog --skill jvm-diagnostics
Please help me install this Agent Skill. Skill: jvm-diagnostics Source: https://github.com/adrianprecub/blog/tree/main/ai/skills/jvm-diagnostics Command: npx skills add https://github.com/adrianprecub/blog --skill jvm-diagnostics
This Skill helps you analyze complex JVM diagnostic files to pinpoint and resolve performance bottlenecks, memory leaks, thread deadlocks, and other critical issues affecting your Java applications.
jvm-diagnostics.md report outlining findings and actionable recommendations.Analyze the provided JFR file 'application.jfr' to identify performance issues.
High-intent search queries and answers about installing and using this skill.
To analyze a JFR recording for JVM performance bottlenecks, you parse the file to detect CPU bottlenecks, memory leaks, and GC pressure. This Skill processes Java Flight Recorder files and generates a structured report with actionable recommendations.
Yes, you can detect memory leaks from a heap dump automatically by parsing the HPRO file. The analysis identifies memory retention issues and produces a detailed diagnostics report outlining the root cause and actionable recommendations.
The best way to diagnose thread deadlocks and high CPU usage is by analyzing thread dumps and core dumps. This process identifies blocked threads, deadlocks, and CPU consumption patterns, delivering a comprehensive markdown report.
You identify GC pressure from garbage collection logs by parsing the log files to evaluate pause times and collection frequency. This analysis detects excessive GC overhead and provides recommendations to optimize memory management.
Yes, this JVM diagnostics approach works with VisualVM output by utilizing a dedicated parser. It processes VisualVM data alongside JFR recordings, heap dumps, and thread dumps to detect performance issues like thread churn and memory leaks.
JVM performance issues that can be identified from diagnostic files include memory leaks, thread leaks, GC pressure, CPU bottlenecks, and deadlocks. The analysis applies predefined rules to generate a comprehensive report with actionable recommendations.
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