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162-java-profiling-analyze

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Aktualisiert19. März 2026 um 20:26

Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. Part of the skills-for-java project

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jabrena

jabrena/cursor-rules-examples

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Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

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SKILL.md

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name	162-java-profiling-analyze
description	Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. Part of the skills-for-java project
license	Apache-2.0
metadata	{"author":"Juan Antonio Breña Moral","version":"0.13.0-SNAPSHOT"}

Java Profiling Workflow / Step 2 / Analyze profiling data

Analyze profiling results systematically: inventory results (flamegraphs, JFR, GC logs, thread dumps), identify problems (memory leaks, CPU hotspots, threading issues), document findings using standardized templates (profiling-problem-analysis-YYYYMMDD.md, profiling-solutions-YYYYMMDD.md), prioritize using Impact/Effort scores, and correlate multiple profiling files for validation.

What is covered in this Skill?

Inventory: scan profiler/results/ for allocation-flamegraph, heatmap-cpu, memory-leak, *.jfr, *.log, *.txt
Problem identification: memory (leaks, excessive allocations, GC pressure), performance (CPU hotspots, blocking), threading (deadlocks, contention, pool saturation)
Documentation: docs/profiling-problem-analysis-YYYYMMDD.md, docs/profiling-solutions-YYYYMMDD.md
Prioritization: Impact (1–5) / Effort (1–5), focus on high priority first
Tools: async-profiler, JFR, JProfiler/YourKit, GCViewer, flamegraphs, heatmaps

Scope: Validate profiling results represent realistic load scenarios. Cross-reference multiple files. Include quantitative metrics.

Constraints

Validate profiling results represent realistic load before analysis. Document assumptions and limitations. Cross-reference multiple files.

VALIDATE: Ensure profiling results represent realistic load scenarios before analysis
DOCUMENT: Record assumptions and limitations in analysis reports
CROSS-REFERENCE: Use multiple profiling files to validate findings
BEFORE APPLYING: Read the reference for problem analysis and solutions templates

When to use this skill

Analyze JFR profile
Profile analysis
Performance analysis

Reference

For detailed guidance, examples, and constraints, see references/162-java-profiling-analyze.md.

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name	162-java-profiling-analyze
description	Use when you need to analyze Java profiling data collected during the detection phase — including interpreting flamegraphs, memory allocation patterns, CPU hotspots, threading issues, systematic problem categorization, evidence documentation with profiling-problem-analysis and profiling-solutions markdown files, or prioritizing fixes using Impact/Effort scoring. Part of the skills-for-java project
license	Apache-2.0
metadata	{"author":"Juan Antonio Breña Moral","version":"0.13.0-SNAPSHOT"}

Java Profiling Workflow / Step 2 / Analyze profiling data

What is covered in this Skill?

Inventory: scan profiler/results/ for allocation-flamegraph, heatmap-cpu, memory-leak, *.jfr, *.log, *.txt
Problem identification: memory (leaks, excessive allocations, GC pressure), performance (CPU hotspots, blocking), threading (deadlocks, contention, pool saturation)
Documentation: docs/profiling-problem-analysis-YYYYMMDD.md, docs/profiling-solutions-YYYYMMDD.md
Prioritization: Impact (1–5) / Effort (1–5), focus on high priority first
Tools: async-profiler, JFR, JProfiler/YourKit, GCViewer, flamegraphs, heatmaps

Scope: Validate profiling results represent realistic load scenarios. Cross-reference multiple files. Include quantitative metrics.

Constraints

Validate profiling results represent realistic load before analysis. Document assumptions and limitations. Cross-reference multiple files.

VALIDATE: Ensure profiling results represent realistic load scenarios before analysis
DOCUMENT: Record assumptions and limitations in analysis reports
CROSS-REFERENCE: Use multiple profiling files to validate findings
BEFORE APPLYING: Read the reference for problem analysis and solutions templates

When to use this skill

Analyze JFR profile
Profile analysis
Performance analysis

Reference

For detailed guidance, examples, and constraints, see references/162-java-profiling-analyze.md.