GUI Performance Profiling via CDP + Playwright
SkillWeb & browsingDiagnose React + Three.js (or any browser canvas) frame stutter by capturing a CDP CPU profile via Playwright instead of guessing from `[perf]` console logs. Use when: (1) frame time is bad but `[perf]` instrumentation doesn't pinpoint the offender, (2) you've spent more than ~30 minutes "fixing" suspects without measuring, (3) hot paths involve animation systems, allocation bursts, or invisible scene-graph traversal, (4) you need self-time per function with line numbers, not aggregate "render slow". The `console.warn` pattern is good for monitoring; CDP is needed for diagnosis. Covers script template, sourcemap setup so minified function names are decoded, and interactive variant where the user drives the interaction and signals stop via `touch /tmp/<flag>`.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the GUI Performance Profiling via CDP + Playwright skill
What this skill tells your AI
The instructions your AI receives, as published by disentinel/grafema in .claude/skills/gui-perf-profiling-cdp/SKILL.md and read by ahel’s review.
Problem
You have a Three.js / React scene that stutters under interaction. You added [perf] console.warn instrumentation in your render loop. The logs show _animate 165ms but they don't tell you which function inside the frame ate the time. You then spend hours patching plausible suspects (bloom, scene-graph traversal, lazy mesh allocation) and the stutter only partially improves.
The shortcut you missed: Chrome DevTools Protocol gives a real CPU profile in 30 seconds, exposing the actual hot leaf functions.
This is what happened during DAI-22 (atlas stutter hunt). After 4-5 patch iterations on plausible suspects, a CDP profile in one Playwright run revealed animateTo taking 14.4 seconds of self-time in an 8-second window — a function I hadn't even suspected, called from a wholesale for (i=0; i<27149; i++) animateTo(i, ...) selection-clear loop.
Decision rule
If you've spent more than 30 minutes "guessing-and-patching" a perf problem and the next iteration is also a guess — stop and run a CDP profile first. Self-time hot list almost always points at the real culprit; intuitions don't.
Script template (synthetic — driven by the script)
packages/gui/scripts/profile-stutter.mjs:
import { chromium } from 'playwright';
import { writeFileSync } from 'fs';
const argv = process.argv.slice(2);
const secondsArgIdx = argv.indexOf('--seconds');
const seconds = secondsArgIdx >= 0 ? Number(argv[secondsArgIdx + 1]) : 10;
const positional = argv.filter((a, i) => !a.startsWith('--') && argv[i - 1] !== '--seconds');
const url = positional[0] || 'http://localhost:3000/';
const browser = await chromium.launch({ headless: false });
const ctx = await browser.newContext({ viewport: { width: 1600, height: 1000 } });
const page = await ctx.newPage();
page.on('console', (msg) => {
if (msg.text().startsWith('[perf]')) console.log(' >>', msg.text());
});
await page.goto(url, { waitUntil: 'networkidle', timeout: 60_000 });
// IMPORTANT: wait long enough for the scene to fully load. Headless
// `networkidle` fires before WebGL upload finishes — overshoot deliberately.
await page.waitForTimeout(3_000);
const cdp = await ctx.newCDPSession(page);
await cdp.send('Profiler.enable');
await cdp.send('Profiler.setSamplingInterval', { interval: 100 }); // 100µs
await cdp.send('Profiler.start');
// Drive the interaction. Tune to reproduce the stutter you're hunting.
const canvas = await page.locator('canvas').first().boundingBox();
const cx = canvas.x + canvas.width / 2;
const cy = canvas.y + canvas.height / 2;
const tStart = Date.now();
while ((Date.now() - tStart) / 1000 < seconds) {
const dx = (Math.random() - 0.5) * 400;
const dy = (Math.random() - 0.5) * 400;
await page.mouse.move(cx, cy);
await page.mouse.down({ button: 'left' });
for (let i = 1; i <= 10; i++) {
await page.mouse.move(cx + dx * i / 10, cy + dy * i / 10);
await page.waitForTimeout(20);
}
await page.mouse.up({ button: 'left' });
await page.mouse.wheel(0, (Math.random() - 0.5) * 400);
await page.waitForTimeout(100);
}
const { profile } = await cdp.send('Profiler.stop');
writeFileSync('/tmp/stutter.cpuprofile', JSON.stringify(profile));
// Build self-time hot list directly — Chrome DevTools is nice but
// terminal output is faster for triage.
const idToNode = new Map(profile.nodes.map((n) => [n.id, n]));
const selfHits = new Map();
for (const id of profile.samples ?? []) selfHits.set(id, (selfHits.get(id) ?? 0) + 1);
const totalUs = profile.endTime - profile.startTime;
const interval = totalUs / (profile.samples?.length || 1);
const hot = [...selfHits.entries()]
.map(([id, hits]) => {
const n = idToNode.get(id);
return { selfMs: (hits * interval) / 1000, fn: n?.callFrame?.functionName || '(anon)',
url: n?.callFrame?.url || '', line: n?.callFrame?.lineNumber ?? -1 };
})
.sort((a, b) => b.selfMs - a.selfMs).slice(0, 20);
for (const h of hot) {
console.log(` ${h.selfMs.toFixed(1).padStart(9)}ms ${h.fn} ${h.url.split('/').pop()}:${h.line}`);
}
await browser.close();
Run with node packages/gui/scripts/profile-stutter.mjs --seconds 10 http://localhost:51833/ui/default.
Interactive variant (user drives the action)
When the stutter only happens during a specific interaction the user knows ("when I rotate AND click"), let them drive:
- Script opens browser, attaches profiler, then polls for a sentinel file:
while (!existsSync('/tmp/stutter-stop')) await new Promise(r => setTimeout(r, 500)); - Tell the user: "потыкай в браузере. Когда наберёшь стоп —
touch /tmp/stutter-stopв шелле". - On signal: stop profiler, write report, unlink sentinel, close browser.
The user gets to reproduce the exact gesture; you get the profile of that gesture.
Decoding minified function names
Production bundles minify — top hot list shows animateTo HexAtlas-BPUSy0eX.js:4045, useless without source.
Two fixes:
- Build with sourcemaps for the profiling session. In
vite.config.tssetbuild.sourcemap: true, rebuild, profile. CDP profile carries the original names. - Profile against a dev build (
vite devon a separate port). Function names are unmangled.
If neither is available: grep the bundle for the minified token + surrounding context (grep -o ".\{60\}animateTo.\{60\}" dist/assets/*.js) to identify the original.
Reading the profile
(idle)at #1 = browser is bored. If your script's interaction time was N seconds and(idle)self-time ≈ N seconds, your scene is genuinely fast and the stutter is elsewhere (input handling, layout reflow, scroll).(garbage collector)>> 100ms = allocation pressure. Look fornewin hot paths.- A single function holding > 30% self-time = your real bottleneck. Open it and look at how often it's called, not how slow each call is.
- Two entries for the same function (
animateTo:4045× 2) = V8 deopt — the function has two ICs. Same logical function, both contribute.
Common traps the profile exposes
| Symptom in hot list | Likely cause |
|---|---|
Animation API (animateTo, tween, lerp) at top | Bulk schedule on selection / lens change. Look for for (i=0; i<allNodes; i++) |
needsUpdate setter / Float32BufferAttribute | Per-frame buffer reupload of a large array even when 1 element changed |
bindVertexArray × thousands | Many small draw calls — merge into BufferGeometry |
setMatrixAt / updateMatrixWorld | Scene graph traversal cost — too many Object3Ds even if visible=false |
Profiler/(program) >> work | Sampling overhead — normal at 100µs interval |
Why this matters
console.warn('[perf]') instrumentation gives per-callback wall-time. CDP gives per-leaf-function self-time. Different granularity, different debug strategy. When a callback is 105ms, instrumentation tells you "callback #0 is slow" — CDP tells you animateTo inside callback #0 is being called 50,000 times.
For a stutter that resists patches: switch granularities. The fix follows in one iteration.
Signals
- GitHub stars
- 36
- Forks
- 3
- Last commit
- Aug 2026
Advanced
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gui-perf-profiling-cdp- Source
- github.com/disentinel/grafema