
162-java-profiling-analyze
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
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jabrena/plinth --skill 162-java-profiling-analyze- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads 162-java-profiling-analyze automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
- Read analysis reference and inventory inputs
Read references/162-java-profiling-analyze.md and inventory profiling artifacts in profiler/results/.
- Validate data quality and assumptions
Confirm datasets represent realistic load conditions and record assumptions/limitations before drawing conclusions.
- Identify and prioritize bottlenecks
Analyze memory/CPU/threading findings, cross-reference multiple files, and prioritize issues by Impact/Effort.
- 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.
FAQ
What does the 162-java-profiling-analyze skill do?
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
How do I install 162-java-profiling-analyze?
Run npx skills add https://github.com/jabrena/plinth --skill 162-java-profiling-analyze in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/162-java-profiling-analyze/ (personal) or .claude/skills/162-java-profiling-analyze/ (project).
Which AI agents can use 162-java-profiling-analyze?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is 162-java-profiling-analyze safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains 162-java-profiling-analyze?
It is published by jabrena in jabrena/plinth. It has 353 recorded installs.
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