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Get Started Free →Use when auditing slow page loads, heavy assets, or rendering delays related to Show loading indicators. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
.claude/skills/thedaviddias-loading-indicators/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-19 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 8% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 12% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | -27% | 0% |
| case-05 | ✓→✓ | ＝ Same ✓ | -37% | 0% |
Loading indicators reassure users that something is happening—without feedback, users may think the page is broken or click repeatedly, degrading experience and causing duplicate actions.
Verify that loading states are displayed during async operations with appropriate ARIA attributes for screen readers.
Implement loading spinners/progress bars with aria-busy, aria-live, and clear visual feedback for ongoing operations.
Explain how loading indicators improve perceived performance and accessibility by communicating system status to users.
Review the routes, assets, and loading behavior that affect Show loading indicators. Flag exact files, requests, or rendering steps that add unnecessary network, CPU, or layout cost, and describe the measurement method used to confirm the issue.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/performance/loading-indicators
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 27,057 | 16,692 | -38% | 1 | 1 | 0% | 5,083 | 3,707 | -27% | 0 | 0 | — |
case-02 | pass→pass | 11,508 | 8,938 | -22% | 1 | 1 | 0% | 1,884 | 2,043 | +8% | 0 | 0 | — |
case-03 | pass→pass | 10,803 | 9,541 | -12% | 1 | 1 | 0% | 1,754 | 1,961 | +12% | 0 | 0 | — |
case-04 | pass→pass | 9,841 | 6,214 | -37% | 1 | 1 | 0% | 1,841 | 1,352 | -27% | 0 | 0 | — |
case-05 | pass→pass | 11,013 | 5,522 | -50% | 1 | 1 | 0% | 1,930 | 1,222 | -37% | 0 | 0 | — |
case-06 | pass→pass | 11,574 | 9,407 | -19% | 1 | 1 | 0% | 2,000 | 1,933 | -3% | 0 | 0 | — |
case-07 | pass→pass | 11,731 | 8,889 | -24% | 1 | 1 | 0% | 1,885 | 1,733 | -8% | 0 | 0 | — |
case-08 | pass→pass | 11,551 | 7,579 | -34% | 1 | 1 | 0% | 1,851 | 1,649 | -11% | 0 | 0 | — |
case-09 | pass→pass | 11,276 | 6,755 | -40% | 1 | 1 | 0% | 1,929 | 1,357 | -30% | 0 | 0 | — |
case-10 | pass→pass | 15,116 | 8,850 | -41% | 1 | 1 | 0% | 2,621 | 1,641 | -37% | 0 | 0 | — |
case-11 | pass→pass | 11,950 | 10,724 | -10% | 1 | 1 | 0% | 2,261 | 2,227 | -2% | 0 | 0 | — |
case-12 | pass→pass | 4,526 | 4,425 | -2% | 1 | 1 | 0% | 793 | 1,023 | +29% | 0 | 0 | — |
case-13 | pass→pass | 9,650 | 6,815 | -29% | 1 | 1 | 0% | 1,728 | 1,374 | -20% | 0 | 0 | — |
case-14 | pass→pass | 7,702 | 5,844 | -24% | 1 | 1 | 0% | 1,263 | 1,384 | +10% | 0 | 0 | — |
case-15 | pass→pass | 10,792 | 7,147 | -34% | 1 | 1 | 0% | 1,781 | 1,564 | -12% | 0 | 0 | — |
case-16 | pass→pass | 9,629 | 7,526 | -22% | 1 | 1 | 0% | 1,509 | 1,529 | +1% | 0 | 0 | — |
case-17 | pass→pass | 9,961 | 6,624 | -34% | 1 | 1 | 0% | 1,739 | 1,318 | -24% | 0 | 0 | — |
case-18 | pass→pass | 9,897 | 6,814 | -31% | 1 | 1 | 0% | 1,722 | 1,398 | -19% | 0 | 0 | — |
case-19 | fail→pass | 10,131 | 9,139 | -10% | 1 | 1 | 0% | 1,760 | 1,927 | +9% | 0 | 0 | — |
case-20 | pass→pass | 6,685 | 5,384 | -19% | 1 | 1 | 0% | 1,405 | 1,295 | -8% | 0 | 0 | — |
case-21 | pass→pass | 7,640 | 4,231 | -45% | 1 | 1 | 0% | 1,407 | 1,017 | -28% | 0 | 0 | — |
case-22 | pass→pass | 7,085 | 5,858 | -17% | 1 | 1 | 0% | 1,391 | 1,390 | -0% | 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.
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.