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Get Started Free →Push past the first few obvious answers to a question and surface the non-obvious idea worth having. Use when asked to give me a non-obvious idea, don't give me the generic answer, think outside the box on, or what's the answer nobody else would give. Produces the obvious answers named and set aside (so we don't repeat them), then genuinely different angles found by continuing past where most thinking stops, each with why it's non-obvious and whether it actually holds up — trading textbook-corre
.claude/skills/mohitagw15856-the-third-answer/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | 46% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 25% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 53% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 47% | 0% |
The first answer to any open question is the average of everything ever said about it — correct, safe, and forgettable. This skill deliberately names those obvious answers, sets them aside, and keeps going to the ideas most people never reach because they stopped at "good enough." The goal isn't cleverness for its own sake; it's the genuinely useful angle hiding past the generic ones.
Ask for these if not provided:
The obvious answers (we're skipping these): 2–4 generic ones].
Past the obvious
Worth pursuing: the 1–2 that survive scrutiny].
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 30,361 | 25,750 | -15% | 1 | 1 | 0% | 3,837 | 3,757 | -2% | 0 | 0 | — |
case-02 | pass→pass | 29,747 | 29,378 | -1% | 1 | 1 | 0% | 3,030 | 4,587 | +51% | 0 | 0 | — |
case-03 | pass→pass | 18,249 | 19,743 | +8% | 1 | 1 | 0% | 1,985 | 3,878 | +95% | 0 | 0 | — |
case-04 | pass→pass | 22,152 | 25,021 | +13% | 1 | 1 | 0% | 2,905 | 4,219 | +45% | 0 | 0 | — |
case-05 | pass→pass | 21,479 | 26,041 | +21% | 1 | 1 | 0% | 2,690 | 5,442 | +102% | 0 | 0 | — |
case-06 | fail→pass | 21,901 | 24,682 | +13% | 1 | 1 | 0% | 2,427 | 3,548 | +46% | 0 | 0 | — |
case-07 | fail→pass | 27,830 | 26,521 | -5% | 1 | 1 | 0% | 2,908 | 3,640 | +25% | 0 | 0 | — |
case-08 | fail→pass | 16,719 | 28,691 | +72% | 1 | 1 | 0% | 2,356 | 3,601 | +53% | 0 | 0 | — |
case-09 | fail→pass | 24,048 | 17,959 | -25% | 1 | 1 | 0% | 2,578 | 3,050 | +18% | 0 | 0 | — |
case-10 | fail→pass | 25,384 | 23,311 | -8% | 1 | 1 | 0% | 2,471 | 3,638 | +47% | 0 | 0 | — |
case-11 | fail→pass | 22,643 | 22,916 | +1% | 1 | 1 | 0% | 2,574 | 3,393 | +32% | 0 | 0 | — |
case-12 | fail→pass | 25,004 | 21,226 | -15% | 1 | 1 | 0% | 2,399 | 3,070 | +28% | 0 | 0 | — |
case-13 | fail→pass | 21,173 | 23,572 | +11% | 1 | 1 | 0% | 2,010 | 3,029 | +51% | 0 | 0 | — |
case-14 | fail→pass | 21,467 | 27,134 | +26% | 1 | 1 | 0% | 2,540 | 3,824 | +51% | 0 | 0 | — |
case-15 | fail→pass | 24,827 | 28,479 | +15% | 1 | 1 | 0% | 2,719 | 3,803 | +40% | 0 | 0 | — |
case-16 | fail→pass | 42,233 | 21,681 | -49% | 1 | 1 | 0% | 3,054 | 2,972 | -3% | 0 | 0 | — |
case-17 | fail→pass | 24,299 | 26,905 | +11% | 1 | 1 | 0% | 2,611 | 3,853 | +48% | 0 | 0 | — |
case-18 | fail→pass | 21,593 | 21,870 | +1% | 1 | 1 | 0% | 2,433 | 2,938 | +21% | 0 | 0 | — |
case-19 | fail→pass | 18,663 | 23,268 | +25% | 1 | 1 | 0% | 2,679 | 3,321 | +24% | 0 | 0 | — |
case-20 | fail→pass | 22,191 | 17,645 | -20% | 1 | 1 | 0% | 2,381 | 3,263 | +37% | 0 | 0 | — |
case-21 | fail→pass | 19,145 | 19,779 | +3% | 1 | 1 | 0% | 2,272 | 3,010 | +32% | 0 | 0 | — |
case-22 | fail→pass | 22,799 | 27,073 | +19% | 1 | 1 | 0% | 2,308 | 3,815 | +65% | 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 +77 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.