Use when you need to verify Java performance optimizations by comparing profiling results before and after refactoring — including baseline validation, post-refactoring report generation, quantitative before/after metrics comparison, side-by-side flamegraph analysis, regression detection, or creating profiling-comparison-analysis and profiling-final-results documentation. This should trigger for requests such as Verify performance fix; Verify the performance; Verify the memory; Verify the threading; Compare before and after profiling results; Check for performance regressions after refactoring. Part of Plinth Toolkit
npx skills add https://github.com/jabrena/plinth --skill 164-java-profiling-verify
Verify performance optimizations through rigorous before/after comparison: ensure baseline and post-refactoring profiling data use identical test conditions, generate post-refactoring reports, compare metrics (memory, CPU, GC, threading), perform side-by-side flamegraph analysis, document findings in profiling-comparison-analysis-YYYYMMDD.md and profiling-final-results-YYYYMMDD.md, and validate success criteria.
What is covered in this Skill?
Scope: Identical test conditions are critical. Document test scenarios. Validate application runs with refactored code before generating new reports.
Use identical test conditions between baseline and post-refactoring. Verify both report sets are complete. Document test scenarios.
Read references/164-java-profiling-verify.md and verify baseline artifacts exist and are non-empty.
Run profiling with identical load/test conditions to produce comparable post-refactoring artifacts.
Perform quantitative comparisons for memory/CPU/GC/threading and side-by-side flamegraph analysis.
Create comparison and final results reports with regressions, gains, and reproducible scenario details.
For detailed guidance, examples, and constraints, see references/164-java-profiling-verify.md.
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Analyze ClickHouse Keeper stress-test results from play.clickhouse.com / keeper_stress_tests data warehouse. Use whenever the user asks about Keeper performance, validates Keeper PRs against stress dashboards, investigates regressions or improvements in Keeper nightlies, asks about specific date windows / SHAs / PR-sets in Keeper stress tests, wants per-PR or window-vs-window comparisons, asks "did this PR break Keeper", asks "what changed in Keeper between dates", or wants a summary report of Keeper stress runs. Triggers on terms like "keeper stress", "keeper PR", "keeper p99", "keeper memory", "keeper rps", "keeper nightly", "keeper-stress-tests", "keeper validation", "keeper regression", or any question referencing the keeper-stress Grafana dashboard. ALWAYS prefer this skill over re-deriving the workflow from scratch — it captures hard-learned lessons about cgroup-vs-Keeper memory, bench-harness confounds, noise floors, and per-PR attribution limits.
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Guide for writing tests for the Aspire Dashboard. Use this when asked to create, modify, or debug dashboard unit tests or Blazor component tests.
Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture.
Take jabrena/164-java-profiling-verify from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.