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Get Started Free →When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow
.claude/skills/mkurman-signup-flow-cro/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 103% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 89% | 0% |
| case-09 | ✓→✗ | ▼ Worse | 104% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 85% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 81% | 0% |
Better password UX:
Progressive commitment pattern:
For each issue found:
Organized by:
Layout & Structure
Field Optimization
Authentication Options
Visual Design
Headlines & CTAs
Microcopy
Trust Elements
Free Trial Variations
Friction Points
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 24,387 | 19,859 | -19% | 1 | 1 | 0% | 3,951 | 5,030 | +27% | 0 | 0 | — |
case-02 | pass→pass | 16,837 | 27,735 | +65% | 1 | 1 | 0% | 2,446 | 4,531 | +85% | 0 | 0 | — |
case-03 | pass→pass | 16,890 | 17,454 | +3% | 1 | 1 | 0% | 2,567 | 4,648 | +81% | 0 | 0 | — |
case-04 | pass→pass | 20,590 | 31,986 | +55% | 1 | 1 | 0% | 2,987 | 4,443 | +49% | 0 | 0 | — |
case-05 | pass→pass | 17,932 | 13,345 | -26% | 1 | 1 | 0% | 1,948 | 3,821 | +96% | 0 | 0 | — |
case-06 | pass→pass | 16,788 | 15,425 | -8% | 1 | 1 | 0% | 2,548 | 4,257 | +67% | 0 | 0 | — |
case-07 | fail→pass | 13,264 | 14,593 | +10% | 1 | 1 | 0% | 2,013 | 4,080 | +103% | 0 | 0 | — |
case-08 | pass→pass | 15,759 | 15,818 | +0% | 1 | 1 | 0% | 2,259 | 4,221 | +87% | 0 | 0 | — |
case-09 | pass→fail | 13,739 | 17,280 | +26% | 1 | 1 | 0% | 2,159 | 4,412 | +104% | 0 | 0 | — |
case-10 | pass→pass | 24,437 | 14,688 | -40% | 1 | 1 | 0% | 2,205 | 4,149 | +88% | 0 | 0 | — |
case-11 | pass→pass | 12,628 | 13,419 | +6% | 1 | 1 | 0% | 2,040 | 3,812 | +87% | 0 | 0 | — |
case-12 | pass→pass | 16,048 | 17,123 | +7% | 1 | 1 | 0% | 2,464 | 4,294 | +74% | 0 | 0 | — |
case-13 | pass→pass | 15,528 | 16,541 | +7% | 1 | 1 | 0% | 2,601 | 4,400 | +69% | 0 | 0 | — |
case-14 | fail→pass | 22,101 | 13,652 | -38% | 1 | 1 | 0% | 1,935 | 3,664 | +89% | 0 | 0 | — |
case-15 | pass→pass | 13,041 | 20,195 | +55% | 1 | 1 | 0% | 1,984 | 3,712 | +87% | 0 | 0 | — |
case-16 | pass→pass | 14,900 | 25,152 | +69% | 1 | 1 | 0% | 2,319 | 4,530 | +95% | 0 | 0 | — |
case-17 | pass→pass | 23,966 | 17,627 | -26% | 1 | 1 | 0% | 2,177 | 4,568 | +110% | 0 | 0 | — |
case-18 | pass→pass | 14,660 | 18,506 | +26% | 1 | 1 | 0% | 2,240 | 4,722 | +111% | 0 | 0 | — |
case-19 | fail→fail | 18,324 | 18,285 | -0% | 1 | 1 | 0% | 3,068 | 4,949 | +61% | 0 | 0 | — |
case-20 | pass→pass | 14,742 | 16,692 | +13% | 1 | 1 | 0% | 2,151 | 4,419 | +105% | 0 | 0 | — |
case-21 | pass→pass | 10,696 | 12,160 | +14% | 1 | 1 | 0% | 1,776 | 3,766 | +112% | 0 | 0 | — |
case-22 | pass→pass | 19,119 | 14,792 | -23% | 1 | 1 | 0% | 2,915 | 4,214 | +45% | 0 | 0 | — |
case-23 | pass→pass | 16,996 | 18,509 | +9% | 1 | 1 | 0% | 2,502 | 4,569 | +83% | 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.