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Get Started Free →Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
.claude/skills/dokhacgiakhoa-app-store-optimization/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 64% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 16% | 0% |
| case-05 | ✓→✓ | = Same ✓ | 425% | 0% |
| case-01 | ✓→✓ | = Same ✓ | 65% | 0% |
| case-02 | ✓→✓ | = Same ✓ | 196% | 0% |
This comprehensive skill provides complete ASO capabilities for successfully launching and optimizing mobile applications on the Apple App Store and Google Play Store.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-05 | pass→pass | 1,577 | 2,221 | +41% | 1 | 1 | 0% | 263 | 1,381 | +425% | 0 | 0 | — |
case-01 | pass→pass | 13,047 | 19,914 | +53% | 1 | 1 | 0% | 2,217 | 3,665 | +65% | 0 | 0 | — |
case-02 | pass→pass | 3,220 | 3,726 | +16% | 1 | 1 | 0% | 557 | 1,648 | +196% | 0 | 0 | — |
case-03 | pass→pass | 8,911 | 9,775 | +10% | 1 | 1 | 0% | 1,842 | 3,047 | +65% | 0 | 0 | — |
case-04 | pass→pass | 9,893 | 9,222 | -7% | 1 | 1 | 0% | 1,935 | 2,422 | +25% | 0 | 0 | — |
case-06 | pass→pass | 4,765 | 3,278 | -31% | 1 | 1 | 0% | 933 | 1,674 | +79% | 0 | 0 | — |
case-07 | pass→pass | 5,691 | 4,754 | -16% | 1 | 1 | 0% | 1,052 | 1,819 | +73% | 0 | 0 | — |
case-08 | pass→pass | 5,379 | 5,106 | -5% | 1 | 1 | 0% | 920 | 1,996 | +117% | 0 | 0 | — |
case-09 | fail→fail | 10,411 | 6,525 | -37% | 1 | 1 | 0% | 1,839 | 2,238 | +22% | 0 | 0 | — |
case-10 | fail→fail | 18,814 | 20,446 | +9% | 1 | 1 | 0% | 3,037 | 4,616 | +52% | 0 | 0 | — |
case-11 | fail→fail | 16,108 | 18,386 | +14% | 1 | 1 | 0% | 3,188 | 4,586 | +44% | 0 | 0 | — |
case-12 | fail→fail | 16,037 | 14,541 | -9% | 1 | 1 | 0% | 2,890 | 3,831 | +33% | 0 | 0 | — |
case-13 | pass→pass | 14,270 | 14,091 | -1% | 1 | 1 | 0% | 2,403 | 3,416 | +42% | 0 | 0 | — |
case-14 | pass→pass | 11,057 | 9,683 | -12% | 1 | 1 | 0% | 1,979 | 2,847 | +44% | 0 | 0 | — |
case-15 | pass→pass | 4,883 | 4,142 | -15% | 1 | 1 | 0% | 847 | 1,758 | +108% | 0 | 0 | — |
case-16 | pass→pass | 17,676 | 16,422 | -7% | 1 | 1 | 0% | 2,531 | 3,440 | +36% | 0 | 0 | — |
case-17 | fail→pass | 11,658 | 14,308 | +23% | 1 | 1 | 0% | 2,011 | 3,295 | +64% | 0 | 0 | — |
case-18 | pass→pass | 2,702 | 1,593 | -41% | 1 | 1 | 0% | 435 | 1,230 | +183% | 0 | 0 | — |
case-19 | pass→pass | 3,884 | 4,329 | +11% | 1 | 1 | 0% | 702 | 1,767 | +152% | 0 | 0 | — |
case-20 | fail→pass | 13,156 | 8,779 | -33% | 1 | 1 | 0% | 1,922 | 2,236 | +16% | 0 | 0 | — |
case-21 | pass→pass | 8,554 | 7,208 | -16% | 1 | 1 | 0% | 1,260 | 2,053 | +63% | 0 | 0 | — |
case-22 | pass→pass | 19,448 | 17,751 | -9% | 1 | 1 | 0% | 2,686 | 3,895 | +45% | 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 +9 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.