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Get Started Free →Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
.claude/skills/dicklesworthstone-ask-questions-if-underspecified/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 44% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 42% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 49% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 6% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 70% | 0% |
Ask the minimum set of clarifying questions needed to avoid wrong work; do not start implementing until the must-have questions are answered (or the user explicitly approves proceeding with stated assumptions).
Treat a request as underspecified if after exploring how to perform the work, some or all of the following are not clear:
If multiple plausible interpretations exist, assume it is underspecified.
Ask 1-5 questions in the first pass. Prefer questions that eliminate whole branches of work.
Make questions easy to answer:
defaults to accept all recommended/default choices)1b 2a 3c); restate the chosen options in plain language to confirmUntil must-have answers arrive:
If the user explicitly asks you to proceed without answers:
Once you have answers, restate the requirements in 1-3 sentences (including key constraints and what success looks like), then start work.
text1) Scope? a) Minimal change (default) b) Refactor while touching the area c) Not sure - use default 2) Compatibility target? a) Current project defaults (default) b) Also support older versions: <specify> c) Not sure - use default Reply with: defaults (or 1a 2a)
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 8,612 | 21,227 | +146% | 1 | 1 | 0% | 1,496 | 2,150 | +44% | 0 | 0 | — |
case-02 | fail→pass | 8,792 | 11,605 | +32% | 1 | 1 | 0% | 1,537 | 2,211 | +44% | 0 | 0 | — |
case-03 | fail→fail | 49,807 | 12,868 | -74% | 1 | 1 | 0% | 8,274 | 3,325 | -60% | 0 | 0 | — |
case-04 | fail→fail | 3,700 | 9,852 | +166% | 1 | 1 | 0% | 395 | 1,466 | +271% | 0 | 0 | — |
case-05 | pass→pass | 9,946 | 5,278 | -47% | 1 | 1 | 0% | 1,502 | 1,714 | +14% | 0 | 0 | — |
case-06 | fail→fail | 13,020 | 11,664 | -10% | 1 | 1 | 0% | 2,354 | 2,972 | +26% | 0 | 0 | — |
case-07 | fail→pass | 10,002 | 9,760 | -2% | 1 | 1 | 0% | 1,480 | 2,095 | +42% | 0 | 0 | — |
case-08 | fail→pass | 7,499 | 9,796 | +31% | 1 | 1 | 0% | 1,359 | 2,026 | +49% | 0 | 0 | — |
case-09 | fail→pass | 11,320 | 8,355 | -26% | 1 | 1 | 0% | 1,879 | 1,984 | +6% | 0 | 0 | — |
case-10 | pass→fail | 14,354 | 2,554 | -82% | 1 | 1 | 0% | 2,562 | 1,128 | -56% | 0 | 0 | — |
case-11 | fail→pass | 7,959 | 8,001 | +1% | 1 | 1 | 0% | 1,366 | 2,323 | +70% | 0 | 0 | — |
case-12 | fail→pass | 18,642 | 10,394 | -44% | 1 | 1 | 0% | 3,678 | 2,070 | -44% | 0 | 0 | — |
case-13 | fail→pass | 31,117 | 8,872 | -71% | 1 | 1 | 0% | 5,229 | 1,998 | -62% | 0 | 0 | — |
case-14 | fail→pass | 16,470 | 11,684 | -29% | 1 | 1 | 0% | 2,768 | 2,433 | -12% | 0 | 0 | — |
case-15 | fail→fail | 12,577 | 9,312 | -26% | 1 | 1 | 0% | 1,964 | 2,205 | +12% | 0 | 0 | — |
case-16 | fail→fail | 18,630 | 2,723 | -85% | 1 | 1 | 0% | 2,863 | 1,158 | -60% | 0 | 0 | — |
case-17 | fail→pass | 20,056 | 8,764 | -56% | 1 | 1 | 0% | 3,667 | 1,951 | -47% | 0 | 0 | — |
case-18 | fail→fail | 12,745 | 5,273 | -59% | 1 | 1 | 0% | 2,371 | 1,061 | -55% | 0 | 0 | — |
case-19 | fail→pass | 12,190 | 9,967 | -18% | 1 | 1 | 0% | 1,686 | 2,351 | +39% | 0 | 0 | — |
case-20 | fail→pass | 19,468 | 8,672 | -55% | 1 | 1 | 0% | 4,365 | 2,087 | -52% | 0 | 0 | — |
case-21 | fail→fail | 10,526 | 9,807 | -7% | 1 | 1 | 0% | 1,670 | 2,464 | +48% | 0 | 0 | — |
case-22 | fail→fail | 9,772 | 8,520 | -13% | 1 | 1 | 0% | 1,867 | 2,380 | +27% | 0 | 0 | — |
case-23 | fail→pass | 9,605 | 4,218 | -56% | 1 | 1 | 0% | 1,813 | 1,444 | -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, and 21 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +48 percentage points is the difference between those two pass rates over the 21 comparable cases. 2 cases got worse with the skill loaded, and they are 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.