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Get Started Free →Decide where your next dollar should go — the order to tackle emergency fund, high-interest debt, retirement match, and saving/investing — so you stop guessing and build momentum. Use when asked what should I do with my money first, pay off debt or save, where to put extra money, or help me prioritize my finances. Produces a personalized order-of-operations for your situation, the reasoning for each step, where you are on the ladder and the next concrete move, and honest flags on the judgment ca
.claude/skills/mohitagw15856-money-priorities-order/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-03 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-05 | ✓→✗ | ▼ Worse | 13% | 0% |
| case-17 | ✓→✓ | = Same ✓ | 45% | 0% |
| case-16 | ✓→✓ | = Same ✓ | 15% | 0% |
Most money stress isn't "how do I budget" — it's "I have some money (or some slack), what do I do with it first?" Pay debt or save? Invest or build a cushion? This lays out a sensible order of operations for your situation, shows where you currently sit on that ladder, and names the single next move — so you act with a plan instead of guilt and guessing.
Ask for these if not provided:
Your order of operations
… (tailored ladder)
Where you are: rung], with what's handled]. Your next move: one concrete action with the amount]. Judgment call: e.g. snowball vs avalanche — the trade-off, your call].
> Educational, not financial advice. This is a general framework; your rates, stability, and goals drive it — consider a fee-only advisor for big decisions.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | pass→pass | 16,233 | 11,053 | -32% | 1 | 1 | 0% | 2,081 | 3,011 | +45% | 0 | 0 | — |
case-16 | pass→pass | 17,882 | 13,927 | -22% | 1 | 1 | 0% | 2,398 | 2,764 | +15% | 0 | 0 | — |
case-01 | fail→fail | 26,827 | 22,371 | -17% | 1 | 1 | 0% | 3,739 | 3,416 | -9% | 0 | 0 | — |
case-02 | fail→fail | 21,992 | 18,782 | -15% | 1 | 1 | 0% | 3,016 | 3,514 | +17% | 0 | 0 | — |
case-03 | fail→pass | 22,753 | 18,244 | -20% | 1 | 1 | 0% | 3,059 | 3,274 | +7% | 0 | 0 | — |
case-04 | pass→pass | 13,695 | 10,777 | -21% | 1 | 1 | 0% | 1,968 | 3,281 | +67% | 0 | 0 | — |
case-05 | pass→fail | 26,693 | 27,702 | +4% | 1 | 1 | 0% | 5,041 | 5,672 | +13% | 0 | 0 | — |
case-06 | pass→pass | 10,566 | 9,018 | -15% | 1 | 1 | 0% | 1,187 | 2,770 | +133% | 0 | 0 | — |
case-07 | pass→pass | 19,063 | 17,529 | -8% | 1 | 1 | 0% | 2,608 | 3,258 | +25% | 0 | 0 | — |
case-08 | pass→pass | 19,475 | 14,669 | -25% | 1 | 1 | 0% | 2,522 | 2,650 | +5% | 0 | 0 | — |
case-09 | pass→pass | 19,579 | 10,264 | -48% | 1 | 1 | 0% | 2,538 | 2,844 | +12% | 0 | 0 | — |
case-10 | fail→pass | 17,026 | 17,234 | +1% | 1 | 1 | 0% | 3,205 | 3,066 | -4% | 0 | 0 | — |
case-11 | pass→pass | 13,981 | 11,280 | -19% | 1 | 1 | 0% | 2,291 | 2,994 | +31% | 0 | 0 | — |
case-12 | pass→pass | 18,834 | 19,188 | +2% | 1 | 1 | 0% | 2,282 | 3,417 | +50% | 0 | 0 | — |
case-13 | fail→fail | 20,217 | 12,223 | -40% | 1 | 1 | 0% | 2,787 | 3,116 | +12% | 0 | 0 | — |
case-14 | pass→pass | 14,451 | 15,303 | +6% | 1 | 1 | 0% | 1,340 | 2,595 | +94% | 0 | 0 | — |
case-15 | pass→pass | 14,201 | 7,907 | -44% | 1 | 1 | 0% | 1,745 | 2,457 | +41% | 0 | 0 | — |
case-18 | pass→pass | 17,647 | 17,656 | +0% | 1 | 1 | 0% | 1,899 | 3,246 | +71% | 0 | 0 | — |
case-19 | pass→pass | 22,806 | 14,416 | -37% | 1 | 1 | 0% | 2,567 | 3,083 | +20% | 0 | 0 | — |
case-20 | fail→fail | 15,940 | 16,909 | +6% | 1 | 1 | 0% | 2,102 | 3,254 | +55% | 0 | 0 | — |
case-21 | pass→pass | 15,975 | 10,846 | -32% | 1 | 1 | 0% | 2,078 | 2,922 | +41% | 0 | 0 | — |
case-22 | pass→pass | 17,813 | 20,034 | +12% | 1 | 1 | 0% | 2,473 | 3,070 | +24% | 0 | 0 | — |
case-23 | pass→pass | 23,257 | 18,783 | -19% | 1 | 1 | 0% | 2,693 | 3,223 | +20% | 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. 23 cases were attempted. The headline lift of +4 percentage points is the difference between those two pass rates over the 23 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.