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Get Started Free →Reclaim value stuck in gift cards, store credit, and forgotten balances — check what's left, use it before it's lost, and know your rights on expiry and cash-back. Use when asked to use up a gift card, I have store credit I forgot about, do gift cards expire, or get cash for a gift card. Produces a way to find and check balances, the rules on expiry and dormancy for your region, options to use/convert/sell partial balances, guidance on cashing out small remainders where allowed, and how to avoid
.claude/skills/mohitagw15856-gift-card-recovery/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 23% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-10 | ✓→✗ | ▼ Worse | 46% | 0% |
Billions sit unspent in gift cards and store credit — forgotten in drawers and apps, slowly draining to fees or expiry. This helps you find what you're owed, understand the expiry and fee rules where you live, and actually use, convert, or (where allowed) cash out those balances before they vanish.
Ask for these if not provided:
Find & check: where to look + how to check each balance]. Your rights: expiry limits · dormancy-fee caps · small-balance cash-out rule for your region]. Best use: spend on needed items · stack partials · convert store credit]. Convert to cash (if unwanted): reputable exchange route + expected discount]. Scam guard: never pay fees/fines with gift cards · balance-drain caution].
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 26,285 | 27,273 | +4% | 1 | 1 | 0% | 3,263 | 4,020 | +23% | 0 | 0 | — |
case-02 | fail→pass | 26,836 | 15,835 | -41% | 1 | 1 | 0% | 3,491 | 3,388 | -3% | 0 | 0 | — |
case-03 | fail→pass | 28,304 | 25,172 | -11% | 1 | 1 | 0% | 3,424 | 4,385 | +28% | 0 | 0 | — |
case-04 | fail→pass | 11,830 | 13,687 | +16% | 1 | 1 | 0% | 1,714 | 2,141 | +25% | 0 | 0 | — |
case-05 | pass→pass | 18,082 | 17,333 | -4% | 1 | 1 | 0% | 1,854 | 2,677 | +44% | 0 | 0 | — |
case-06 | pass→pass | 11,692 | 17,934 | +53% | 1 | 1 | 0% | 1,729 | 2,831 | +64% | 0 | 0 | — |
case-07 | pass→pass | 19,099 | 20,141 | +5% | 1 | 1 | 0% | 2,247 | 3,204 | +43% | 0 | 0 | — |
case-08 | pass→pass | 11,428 | 16,957 | +48% | 1 | 1 | 0% | 1,953 | 2,862 | +47% | 0 | 0 | — |
case-09 | pass→pass | 18,678 | 17,553 | -6% | 1 | 1 | 0% | 2,359 | 2,883 | +22% | 0 | 0 | — |
case-10 | pass→fail | 20,267 | 26,002 | +28% | 1 | 1 | 0% | 2,737 | 3,994 | +46% | 0 | 0 | — |
case-11 | pass→pass | 19,683 | 15,086 | -23% | 1 | 1 | 0% | 2,278 | 2,582 | +13% | 0 | 0 | — |
case-12 | pass→pass | 13,852 | 9,947 | -28% | 1 | 1 | 0% | 2,221 | 2,615 | +18% | 0 | 0 | — |
case-13 | pass→pass | 11,746 | 16,314 | +39% | 1 | 1 | 0% | 1,897 | 2,907 | +53% | 0 | 0 | — |
case-14 | pass→pass | 9,451 | 17,433 | +84% | 1 | 1 | 0% | 1,626 | 2,917 | +79% | 0 | 0 | — |
case-15 | pass→pass | 20,613 | 15,126 | -27% | 1 | 1 | 0% | 2,586 | 3,315 | +28% | 0 | 0 | — |
case-16 | pass→pass | 13,057 | 9,558 | -27% | 1 | 1 | 0% | 1,383 | 2,372 | +72% | 0 | 0 | — |
case-17 | pass→pass | 10,883 | 17,730 | +63% | 1 | 1 | 0% | 1,657 | 2,771 | +67% | 0 | 0 | — |
case-18 | pass→pass | 11,845 | 8,841 | -25% | 1 | 1 | 0% | 1,131 | 2,382 | +111% | 0 | 0 | — |
case-19 | pass→pass | 13,890 | 16,851 | +21% | 1 | 1 | 0% | 1,493 | 2,868 | +92% | 0 | 0 | — |
case-20 | pass→pass | 10,685 | 14,985 | +40% | 1 | 1 | 0% | 1,833 | 2,509 | +37% | 0 | 0 | — |
case-21 | pass→pass | 14,227 | 18,160 | +28% | 1 | 1 | 0% | 2,568 | 3,825 | +49% | 0 | 0 | — |
case-22 | pass→pass | 14,588 | 17,585 | +21% | 1 | 1 | 0% | 2,471 | 3,189 | +29% | 0 | 0 | — |
case-23 | pass→pass | 13,190 | 13,278 | +1% | 1 | 1 | 0% | 2,367 | 3,216 | +36% | 0 | 0 | — |
case-24 | pass→pass | 13,657 | 12,762 | -7% | 1 | 1 | 0% | 1,842 | 3,133 | +70% | 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. 24 cases were attempted. The headline lift of +13 percentage points is the difference between those two pass rates over the 24 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.