analyze-performance-traces
FeaturedAnalyze Chrome, Chromium, Electron, React DevTools, or Perfetto-compatible JSON traces and audit user-reported profiling findings without loading large artifacts into context; prove trigger-to-render/layout chains, separate measured facts from source inference, find exact code choke points, classify forced layout and render fanout, implement semantically safe fixes, and verify behavior plus repository budgets. Use for trace files, reported profiling durations or call chains, dropped frames, long tasks, resize or scroll jank, render storms, layout thrashing, selector hot paths, interaction latency, or requests to locate exact source-level bottlenecks.
Install
Quality Score: 90/100
Skill Content
Details
- Author
- tutti-os
- Repository
- tutti-os/tutti
- Created
- 3 months ago
- Last Updated
- 6 days ago
- Language
- TypeScript
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
awesome-performance-audit
Read-only audit of performance and reliability — event-loop discipline, streaming and backpressure, memory and CPU diagnostics, shutdown/timeout/job habits, resilience topology (circuit breakers, retry budgets, queue bounds), and frontend delivery (Core Web Vitals, bundle size, hydration) — with evidence per finding and a SHIP / FIX / BLOCK verdict. Use when a service or page is slow, memory climbs, tail latency is bad, a worker OOMs, before a load event, or 'почему тормозит'. Measures and reports; rewrites no hot paths. Do not use for retry/idempotency contracts (awesome-error-standards) or render style rules (awesome-code-standards).
performance-profiling
Guides active performance investigation with measure-identify-fix-measure cycle for both frontend and backend. Triggers chrome-devtools for frontend profiling. Use when profiling performance, investigating slow code, optimizing speed, performance issues, slow page, slow API, latency problems, or when something feels sluggish.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks.