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jabrenajabrena/cursor-rules-java/skills/162-java-profiling-analyze/SKILL.md

162-java-profiling-analyze

Skill452 starsChanged 3 months agoApache-2.0View on GitHub

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. This should trigger for requests such as Analyze JFR profile; Analyze the profile; Analyze the performance; Analyze the memory; Analyze the threading; Analyze GC logs from profiling; Prioritize Java profiling bottlenecks by impact. Part of Plinth Toolkit

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 5 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    VALIDATE: Ensure profiling results represent realistic load scenarios before analysis

    line 27
  2. Distinctive:

    CROSS-REFERENCE: Use multiple profiling files to validate findings

    line 29
  3. Distinctive:

    BEFORE APPLYING: Read the reference for problem analysis and solutions templates

    line 30
  4. Distinctive:

    EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes

    line 31
  5. Distinctive:

    EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance

    line 32
  6. Very specific:

    Read references/162-java-profiling-analyze.md and inventory profiling artifacts in profiler/results/.

    line 50
  7. Very specific:

    Create docs/profiling-problem-analysis-YYYYMMDD.md and docs/profiling-solutions-YYYYMMDD.md with quantitative evidence.

    line 62

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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
  • EDGE CASE: If request scope is ambiguous, stop and ask a clarifying question before applying changes
  • EDGE CASE: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance

When to use this skill

  • Analyze JFR profile
  • Analyze the profile
  • Analyze the performance
  • Analyze the memory
  • Analyze the threading
  • Analyze the GC
  • Analyze the profiling
  • Prioritize Java profiling bottlenecks by impact
  • Performance analysis

Workflow

  1. Read analysis reference and inventory inputs

Read references/162-java-profiling-analyze.md and inventory profiling artifacts in profiler/results/.

  1. Validate data quality and assumptions

Confirm datasets represent realistic load conditions and record assumptions/limitations before drawing conclusions.

  1. Identify and prioritize bottlenecks

Analyze memory/CPU/threading findings, cross-reference multiple files, and prioritize issues by Impact/Effort.

  1. Document findings and solution options

Create docs/profiling-problem-analysis-YYYYMMDD.md and docs/profiling-solutions-YYYYMMDD.md with quantitative evidence.

Reference

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

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