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Get Started Free →Use when reviewing CI coverage, automated checks, or test strategy related to Test on real mobile devices and viewports. Focus on whether the rule is continuously verified, not just documented.
.claude/skills/thedaviddias-mobile-testing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 30% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-07 | ✓→✗ | ▼ Worse | 7% | 0% |
| case-09 | ✓→✓ | ＝ Same ✓ | -15% | 0% |
| case-14 | ✓→✓ | ＝ Same ✓ | -1% | 0% |
More than 55% of global web traffic comes from mobile devices. Mobile browsers have different rendering engines, different font rendering, limited memory, real touch events that differ from mouse events, and system UI (notch, home indicator, keyboard) that intrudes on your layout. Issues like sticky hover states, touch target sizes, and keyboard layout shifts only appear on real devices.
Does this project have any mobile-specific test configurations? Check for Playwright device emulation, mobile viewport tests, or notes about mobile testing.
Add Playwright tests using mobile device presets to cover key user flows on mobile viewports.
Explain the difference between DevTools emulation and real device testing, common mobile-specific issues to test for, and how to use Playwright's device emulation.
Review tests, CI workflows, and enforcement points related to Test on real mobile devices and viewports. Flag exact gaps where the rule is not automatically verified or where failures do not block regressions.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/testing/mobile-testing
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-09 | pass→pass | 10,618 | 7,324 | -31% | 1 | 1 | 0% | 1,829 | 1,546 | -15% | 0 | 0 | — |
case-14 | pass→pass | 16,335 | 14,090 | -14% | 1 | 1 | 0% | 2,692 | 2,666 | -1% | 0 | 0 | — |
case-01 | fail→pass | 11,200 | 13,049 | +17% | 1 | 1 | 0% | 2,139 | 2,777 | +30% | 0 | 0 | — |
case-02 | fail→fail | 16,628 | 16,712 | +1% | 1 | 1 | 0% | 2,643 | 3,167 | +20% | 0 | 0 | — |
case-03 | fail→pass | 13,097 | 12,531 | -4% | 1 | 1 | 0% | 2,362 | 2,613 | +11% | 0 | 0 | — |
case-04 | pass→pass | 13,286 | 12,605 | -5% | 1 | 1 | 0% | 2,123 | 2,391 | +13% | 0 | 0 | — |
case-05 | pass→pass | 12,052 | 6,086 | -50% | 1 | 1 | 0% | 1,883 | 1,343 | -29% | 0 | 0 | — |
case-06 | pass→pass | 14,056 | 12,488 | -11% | 1 | 1 | 0% | 2,331 | 2,550 | +9% | 0 | 0 | — |
case-07 | pass→fail | 11,106 | 9,768 | -12% | 1 | 1 | 0% | 1,913 | 2,039 | +7% | 0 | 0 | — |
case-08 | pass→pass | 8,189 | 6,321 | -23% | 1 | 1 | 0% | 1,604 | 1,641 | +2% | 0 | 0 | — |
case-10 | pass→pass | 15,273 | 15,826 | +4% | 1 | 1 | 0% | 2,580 | 3,271 | +27% | 0 | 0 | — |
case-11 | pass→pass | 14,904 | 10,173 | -32% | 1 | 1 | 0% | 2,450 | 1,945 | -21% | 0 | 0 | — |
case-12 | pass→pass | 9,992 | 6,162 | -38% | 1 | 1 | 0% | 1,595 | 1,369 | -14% | 0 | 0 | — |
case-13 | pass→pass | 18,862 | 16,370 | -13% | 1 | 1 | 0% | 3,167 | 3,390 | +7% | 0 | 0 | — |
case-15 | pass→pass | 10,623 | 6,193 | -42% | 1 | 1 | 0% | 1,711 | 1,317 | -23% | 0 | 0 | — |
case-16 | pass→pass | 13,304 | 13,139 | -1% | 1 | 1 | 0% | 2,303 | 2,625 | +14% | 0 | 0 | — |
case-17 | pass→pass | 15,626 | 13,204 | -15% | 1 | 1 | 0% | 2,881 | 3,008 | +4% | 0 | 0 | — |
case-18 | pass→pass | 13,781 | 7,913 | -43% | 1 | 1 | 0% | 2,210 | 1,660 | -25% | 0 | 0 | — |
case-19 | pass→pass | 9,265 | 6,150 | -34% | 1 | 1 | 0% | 1,789 | 1,553 | -13% | 0 | 0 | — |
case-20 | pass→pass | 14,332 | 12,050 | -16% | 1 | 1 | 0% | 2,947 | 2,865 | -3% | 0 | 0 | — |
case-21 | pass→pass | 13,467 | 8,384 | -38% | 1 | 1 | 0% | 2,810 | 2,066 | -26% | 0 | 0 | — |
case-22 | pass→pass | 6,044 | 4,620 | -24% | 1 | 1 | 0% | 1,187 | 1,288 | +9% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +5 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.