161-java-profiling-detect
Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling scripts, JFR integration with Java 25 (JEP 518, JEP 520), or collecting profiling data with flamegraphs and JFR recordings. This should trigger for requests such as Improve the code with profiling; Apply Profiling; Refactor the code with profiling; Add profiling support; Collect JFR or async-profiler data for Java performance. 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 161-java-profiling-detect- 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 161-java-profiling-detect 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 1 / Collect data to measure potential issues
Set up the Java profiling detection phase using a trusted preinstalled async-profiler v4.x, problem-driven interactive profiling scripts, and comprehensive data collection for CPU hotspots, memory leaks, lock contention, GC issues, and I/O bottlenecks. Uses JEP 518 (Cooperative Sampling) and JEP 520 (Method Timing) for reduced overhead.
What is covered in this Skill?
- Run application with profiling JVM flags (run-java-process-for-profiling.sh)
- Interactive profiling script (profiler/scripts/profile-java-process.sh) — copy exact template
- Directory structure: profiler/scripts/, profiler/results/, profiler/current/
- Automated OS/architecture detection and trusted preinstalled async-profiler validation
- CPU, memory, lock, GC, I/O profiling modes
- Flamegraph and JFR output with timestamped results
Scope: Use the exact bash script templates without modification or interpretation.
Constraints
Copy bash scripts exactly from templates. Ensure JVM flags are applied for profiling compatibility. Verify Java processes are running before attaching profiler.
- CRITICAL: Copy the bash script templates exactly — do not modify, interpret, or enhance
- SETUP: Create profiler directory structure: profiler/scripts, profiler/results
- SUPPLY CHAIN: Do not download profiler binaries at runtime; require
ASYNC_PROFILER_HOMEorprofiler/currentto point to a trusted, preinstalled async-profiler distribution - EXECUTABLE: Make scripts executable with chmod +x
- BEFORE APPLYING: Read the reference for exact script templates and setup instructions
- 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
- Improve the code with profiling
- Apply Profiling
- Refactor the code with profiling
- Add profiling support
- Collect JFR or async-profiler data for Java performance
Workflow
- Read profiling setup reference
Read references/161-java-profiling-detect.md and use script templates exactly as provided.
- Create profiler workspace and scripts
Create profiler/scripts and profiler/results, copy setup/profile scripts verbatim, and make scripts executable.
- Run application with profiling compatibility
Start Java process with required profiling JVM flags and verify target process availability for profiler attachment.
- Collect profiling artifacts
Capture CPU/memory/lock/GC/I/O data and produce timestamped flamegraph and JFR outputs for analysis.
Reference
For detailed guidance, examples, and constraints, see references/161-java-profiling-detect.md.
FAQ
What does the 161-java-profiling-detect skill do?
Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling scripts, JFR integration with Java 25 (JEP 518, JEP 520), or collecting profiling data with flamegraphs and JFR recordings. This should trigger for requests such as Improve the code with profiling; Apply Profiling; Refactor the code with profiling; Add profiling support; Collect JFR or async-profiler data for Java performance. Part of Plinth Toolkit
How do I install 161-java-profiling-detect?
Run npx skills add https://github.com/jabrena/plinth --skill 161-java-profiling-detect 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/161-java-profiling-detect/ (personal) or .claude/skills/161-java-profiling-detect/ (project).
Which AI agents can use 161-java-profiling-detect?
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 161-java-profiling-detect 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 161-java-profiling-detect?
It is published by jabrena in jabrena/plinth. It has 340 recorded installs.
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