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authoring-benchmarks

Skill115 starsChanged 55 days agoApache-2.0View on GitHub

Design, implement, run, debug, and interpret browser performance benchmarks for Elements components and utilities. Use whenever the user asks to benchmark or performance-test runtime code, create or update a .test.bench.ts file, compare benchmark results, investigate a browser performance regression, understand Vitest bench metrics such as throughput, mean, p99, RME, or samples, or add a test:bench task. Do not use this workflow for whole-CI profiling; use the audit-ci skill instead.

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We split this skill into the rules it gives an agent

30 rules. About 0 are common, 15 are distinctive, and 15 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈15

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 15

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create browser benchmarks that answer a specific performance question.

    line 8
  2. Distinctive:

    Read the testing overview.

    line 14
  3. Distinctive:

    Read the Bench section of the Vite internals documentation.

    line 15
  4. Very specific:

    Read the target project's DEVELOPMENT.md.

    line 16
  5. Very specific:

    Use the guidance-build skill as well when adding or changing Wireit tasks.

    line 19
  6. Distinctive:

    Do not use an SSR benchmark as a substitute for browser lifecycle performance.

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  7. Very specific:

    Run every benchmark through Chromium using libraryBenchConfig.

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  8. Distinctive:

    Keep the benchmark beside the implementation it measures.

    line 37
  9. Very specific:

    Use one vitest.bench.ts configuration per project.

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  10. Very specific:

    Do not add .test.bench.browser.ts, a second browser configuration, or a Node-default benchmark convention.

    line 39
  11. Very specific:

    Use describe(Component.metadata.tag, ...) for component benchmarks and a descriptive subsystem name for utilities.

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  12. Very specific:

    Use action-and-scale labels such as filters 1,000 options to one match.

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  13. Distinctive:

    A representative scale: Prefer enough data to expose algorithmic and allocation costs.

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  14. Distinctive:

    A stable input: Use fixed deterministic data.

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  15. Distinctive:

    Consistent iterations: Every sample must perform the same class of work.

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  16. Distinctive:

    Use at least two sizes when the scaling behavior is the question.

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  17. Very specific:

    Put fixture and data preparation in setup when they are outside the measured workload.

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  18. Very specific:

    Use real registered custom elements and the real DOM.

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  19. Distinctive:

    Keep cold-load and steady-state questions separate.

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  20. Very specific:

    Use beforeAll, afterAll, beforeEach, or afterEach to manage benchmark fixtures.

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  21. Distinctive:

    Treat one noisy local run as proof of a regression or optimization.

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  22. Very specific:

    If an operation is faster than the browser timer resolution, benchmark a fixed batch and normalize the result.

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  23. Distinctive:

    Run repository commands through mise.

    line 144
  24. Distinctive:

    Do not run other browser-heavy tasks concurrently when collecting comparison data.

    line 156
  25. Very specific:

    Use mean or its inverse hz for central throughput, percentiles for tail behavior, and RME to judge confidence.

    line 169
  26. Distinctive:

    When a project has no benchmark task, follow the current Core setup rather than inventing another harness:

    line 182
  27. Very specific:

    Add vitest.bench.ts using libraryBenchConfig and a source alias.

    line 184
  28. Very specific:

    Add a Wireit-backed test:bench script with benchmark files and configuration as inputs and no outputs.

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  29. Very specific:

    Document pnpm run test:bench in the project's DEVELOPMENT.md.

    line 189
  30. Distinctive:

    After modifying benchmark code or configuration, run:

    line 204

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Authoring Benchmarks

Create browser benchmarks that answer a specific performance question. Browser behavior is the product behavior, so Chromium is the default runtime for component and utility benchmarks.

Required Context

Before changing benchmarks:

  1. Read the testing overview.
  2. Read the Bench section of the Vite internals documentation.
  3. Read the target project's DEVELOPMENT.md.
  4. Inspect the implementation, its unit tests, and the closest existing benchmark.

Use the guidance-build skill as well when adding or changing Wireit tasks. Use the audit-ci skill instead when measuring pnpm run ci, build orchestration, or the CI completion path.

Choose the Correct Performance Test

QuestionTool
How fast is a repeatable function, DOM traversal, state synchronization, filter, or component update?Browser benchmark (*.test.bench.ts)
How does a page load, score in Lighthouse, or consume network resources?Lighthouse test (*.test.lighthouse.ts)
Did a visual rendering result change?Visual test (*.test.visual.ts)
Which build or test task controls CI wall-clock time?audit-ci workflow
Is behavior correct?Unit, accessibility, SSR, or integration test

Do not use an SSR benchmark as a substitute for browser lifecycle performance. SSR serialization and browser DOM work are different workloads.

Benchmark Convention

  • Name every benchmark file *.test.bench.ts.
  • Run every benchmark through Chromium using libraryBenchConfig.
  • Keep the benchmark beside the implementation it measures.
  • Use one vitest.bench.ts configuration per project.
  • Do not add .test.bench.browser.ts, a second browser configuration, or a Node-default benchmark convention.
  • Use describe(Component.metadata.tag, ...) for component benchmarks and a descriptive subsystem name for utilities.
  • Use action-and-scale labels such as filters 1,000 options to one match.

The shared configuration is @internals/vite/configs/bench.js. The Core reference configuration is projects/core/vitest.bench.ts.

Design the Workload First

State the performance question before writing benchmark syntax. A useful benchmark has:

  1. A product-relevant operation: Filtering options, traversing a grid, synchronizing tree state, generating a path, or updating rendered icons.
  2. A representative scale: Prefer enough data to expose algorithmic and allocation costs. A leaf rendering benchmark without scalable work does not justify its maintenance cost.
  3. A stable input: Use fixed deterministic data. Avoid randomness, clocks, network requests, and machine-specific files.
  4. Consistent iterations: Every sample must perform the same class of work. Alternate values to force updates without allowing state to grow indefinitely.
  5. An observable completion point: Return computed values. For Lit updates, await elementIsStable() and any follow-up asynchronous update triggered by the component.
  6. A narrow boundary: Exclude fixture creation, selectors, and data generation unless those operations are explicitly under test.

Use at least two sizes when the scaling behavior is the question. If comparing a single operation with a batch, normalize the batch mean per item before drawing conclusions.

Browser Fixture Pattern

Vitest suite hooks are not the benchmark lifecycle. Use BenchOptions.setup and teardown so fixtures exist during warmup and sampled runs.

import { html } from 'lit';
import type { BenchOptions } from 'vitest';
import { bench, describe } from 'vitest';
import { createFixture, elementIsStable, removeFixture } from '@internals/testing';
import { Combobox } from '@nvidia-elements/core/combobox';
import '@nvidia-elements/core/combobox/define.js';

const optionTemplates = Array.from(
  { length: 1_000 },
  (_, index) => html`<option value=${`${index % 2 ? 'odd' : 'even'}-${index}`}>Option ${index}</option>`
);

describe(Combobox.metadata.tag, () => {
  let element: Combobox;
  let fixture: HTMLElement;
  let input: HTMLInputElement;
  let searchIndex = 0;

  const options: BenchOptions = {
    throws: true,
    async setup() {
      fixture = await createFixture(html`
        <nve-combobox>
          <label>Benchmark</label>
          <input type="search" />
          <datalist>${optionTemplates}</datalist>
        </nve-combobox>
      `);
      element = fixture.querySelector<Combobox>(Combobox.metadata.tag)!;
      input = fixture.querySelector<HTMLInputElement>('input')!;
      await elementIsStable(element);
    },
    teardown() {
      removeFixture(fixture);
    }
  };

  bench(
    'filters 1,000 options',
    async () => {
      input.value = searchIndex++ % 2 ? 'even' : 'odd';
      input.dispatchEvent(new InputEvent('input', { bubbles: true }));
      await elementIsStable(element);
    },
    options
  );
});

Rules for every case:

  • Set throws: true. Without it, a failing benchmark can report empty or NaN results instead of failing.
  • Put fixture and data preparation in setup when they are outside the measured workload; setup time is not sampled.
  • Perform synchronous cleanup in teardown with removeFixture().
  • Use real registered custom elements and the real DOM. Mock only unavailable browser capabilities.
  • Force actual work. Reassigning the current value can turn the benchmark into a no-op.
  • Await completion. Measuring only the property assignment misses rendering and asynchronous synchronization.
  • Keep cold-load and steady-state questions separate. Warmup and browser caching make benchmarks suitable for steady-state work; use Lighthouse for first-load behavior.

For a pure utility, keep deterministic input outside the callback and return the result:

bench('transforms 10,000 values', () => transformValues(values), { throws: true });

Avoid Invalid Measurements

Do not:

  • Measure only Lit fixture overhead when the claimed target is component logic.
  • Use beforeAll, afterAll, beforeEach, or afterEach to manage benchmark fixtures.
  • Include assertions, console output, snapshots, or debug logging in the timed callback.
  • Accumulate selected nodes, listeners, DOM children, or other state across samples.
  • Compare hz directly between workloads that process different item counts.
  • Treat one noisy local run as proof of a regression or optimization.
  • Hide outliers by deleting samples or adding arbitrary delays.

If an operation is faster than the browser timer resolution, benchmark a fixed batch and normalize the result. A reported min of 0 is a timer-resolution warning, not zero-cost code.

Run Benchmarks

Run repository commands through mise. From the target project:

mise exec -- pnpm run test:bench

For one benchmark file, first ensure the project build is current, then run:

NODE_ENV=production mise exec -- pnpm exec vitest bench --run --config=vitest.bench.ts src/<feature>/<feature>.test.bench.ts

Do not run other browser-heavy tasks concurrently when collecting comparison data. For regression analysis, use the same machine, Chromium version, power state, command, inputs, and build mode. Collect at least three runs per revision and compare medians.

Interpret Results

MetricMeaning
hzCompleted benchmark operations per second; higher is faster
meanAverage milliseconds per operation; lower is faster
p75, p99, p995, p999Tail latency percentiles
min, maxObserved latency range
rmeRelative margin of error; lower indicates a more stable estimate
samplesNumber of timed observations

Use mean or its inverse hz for central throughput, percentiles for tail behavior, and RME to judge confidence. Investigate high RME by checking machine contention, outliers, state accumulation, timer resolution, and inconsistent work. Rerun before changing implementation.

For a batch of N items:

per-item mean = batch mean / N
per-item throughput = N × batch hz

Report the command, browser/runtime context, workload size, median across runs, tail latency, RME, and any normalization. Describe observed changes as correlation unless one-variable experiments establish causality.

Add Benchmark Support to a Project

When a project has no benchmark task, follow the current Core setup rather than inventing another harness:

  1. Add vitest.bench.ts using libraryBenchConfig and a source alias.
  2. Add a Wireit-backed test:bench script with benchmark files and configuration as inputs and no outputs.
  3. Depend on the builds required by the benchmark imports.
  4. Exclude *.test.bench.ts from production build inputs and library TypeScript output.
  5. Confirm unit-test discovery and coverage exclude benchmark files.
  6. Document pnpm run test:bench in the project's DEVELOPMENT.md.

Benchmarking is opt-in unless the repository's CI policy explicitly adds it to a required workflow. Do not add unstable wall-clock thresholds without a baseline strategy and controlled runners.

Existing References

  • Icon browser updates
  • Sparkline transforms
  • Combobox filtering
  • Grid navigation and traversal
  • Tree synchronization
  • Select synchronization

Validation

After modifying benchmark code or configuration, run:

cd projects/<project>
mise exec -- pnpm run lint
mise exec -- pnpm run test
mise exec -- pnpm run build
mise exec -- pnpm run test:bench

Also run Prettier, Vale for changed Markdown, and git diff --check. Confirm no benchmark source appears in production dist/ output.

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