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Get Started Free →Deploy Expo apps to production
.claude/skills/davila7-expo-deployment/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -45% | 0% |
| case-09 | ✓→✗ | ▼ Worse | 8% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | -7% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | -33% | 0% |
Deploy Expo applications to production environments, including app stores and over-the-air updates.
Use this skill when you need to deploy Expo apps to production.
Use this skill when:
This skill provides guidance for deploying Expo apps:
For more information, see the source repository.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | pass→pass | 15,692 | 12,318 | -22% | 1 | 1 | 0% | 2,588 | 2,400 | -7% | 0 | 0 | — |
case-01 | pass→pass | 10,178 | 4,683 | -54% | 1 | 1 | 0% | 1,785 | 1,204 | -33% | 0 | 0 | — |
case-03 | pass→pass | 11,083 | 5,320 | -52% | 1 | 1 | 0% | 1,674 | 1,169 | -30% | 0 | 0 | — |
case-04 | pass→pass | 8,957 | 4,866 | -46% | 1 | 1 | 0% | 1,498 | 1,165 | -22% | 0 | 0 | — |
case-05 | pass→pass | 15,874 | 12,541 | -21% | 1 | 1 | 0% | 2,745 | 2,536 | -8% | 0 | 0 | — |
case-06 | pass→pass | 14,379 | 8,293 | -42% | 1 | 1 | 0% | 2,233 | 1,466 | -34% | 0 | 0 | — |
case-07 | pass→pass | 12,981 | 7,237 | -44% | 1 | 1 | 0% | 2,005 | 1,506 | -25% | 0 | 0 | — |
case-08 | pass→pass | 15,436 | 9,370 | -39% | 1 | 1 | 0% | 2,481 | 1,807 | -27% | 0 | 0 | — |
case-09 | pass→fail | 17,897 | 16,151 | -10% | 1 | 1 | 0% | 2,662 | 2,862 | +8% | 0 | 0 | — |
case-10 | pass→pass | 16,891 | 12,969 | -23% | 1 | 1 | 0% | 2,622 | 2,527 | -4% | 0 | 0 | — |
case-11 | pass→pass | 8,206 | 5,236 | -36% | 1 | 1 | 0% | 1,226 | 1,120 | -9% | 0 | 0 | — |
case-12 | pass→pass | 15,197 | 11,116 | -27% | 1 | 1 | 0% | 2,774 | 2,447 | -12% | 0 | 0 | — |
case-13 | fail→pass | 13,322 | 7,593 | -43% | 1 | 1 | 0% | 1,914 | 1,587 | -17% | 0 | 0 | — |
case-14 | pass→pass | 13,704 | 8,090 | -41% | 1 | 1 | 0% | 2,188 | 1,610 | -26% | 0 | 0 | — |
case-15 | fail→pass | 9,325 | 3,121 | -67% | 1 | 1 | 0% | 1,556 | 851 | -45% | 0 | 0 | — |
case-16 | pass→pass | 12,437 | 9,733 | -22% | 1 | 1 | 0% | 1,922 | 1,791 | -7% | 0 | 0 | — |
case-17 | pass→pass | 14,416 | 2,987 | -79% | 1 | 1 | 0% | 2,275 | 812 | -64% | 0 | 0 | — |
case-18 | pass→pass | 5,654 | 2,870 | -49% | 1 | 1 | 0% | 783 | 860 | +10% | 0 | 0 | — |
case-19 | pass→pass | 7,254 | 4,192 | -42% | 1 | 1 | 0% | 1,047 | 1,049 | +0% | 0 | 0 | — |
case-20 | pass→pass | 17,443 | 14,659 | -16% | 1 | 1 | 0% | 3,262 | 3,388 | +4% | 0 | 0 | — |
case-21 | pass→pass | 21,901 | 16,183 | -26% | 1 | 1 | 0% | 3,939 | 3,438 | -13% | 0 | 0 | — |
case-22 | pass→pass | 15,839 | 13,974 | -12% | 1 | 1 | 0% | 3,125 | 3,269 | +5% | 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.