Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →AI-powered public status page design skill for e-commerce businesses. Creates status page architecture, incident communication templates, subscriber notification systems, and uptime reporting frameworks.
.claude/skills/nexscope-ai-public-status-page/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 32% | 0% |
| case-07 | ✓→✗ | ▼ Worse | 34% | 0% |
| case-22 | ✓→✗ | ▼ Worse | 7% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 19% | 0% |
AI-powered public status page design skill for e-commerce businesses. Creates status page architecture, incident communication templates, subscriber notification systems, and uptime reporting frameworks.
clawhub install public-status-pageInput: Services/systems to monitor, audience (customers/partners), SLA targets
Output: Status page architecture, incident template library, notification subscription design, uptime reporting framework
> "I run a your business type] on platform]. Help me set up public status page for my business. Here's my current situation: describe context]."
Built by Nexscope AI — AI-powered e-commerce intelligence.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-08 | fail→pass | 11,016 | 12,065 | +10% | 1 | 1 | 0% | 1,687 | 2,246 | +33% | 0 | 0 | — |
case-01 | fail→pass | 22,649 | 25,603 | +13% | 1 | 1 | 0% | 3,413 | 4,512 | +32% | 0 | 0 | — |
case-02 | pass→pass | 11,724 | 13,522 | +15% | 1 | 1 | 0% | 1,891 | 2,250 | +19% | 0 | 0 | — |
case-03 | fail→fail | 13,751 | 12,182 | -11% | 1 | 1 | 0% | 2,100 | 2,141 | +2% | 0 | 0 | — |
case-04 | pass→pass | 18,186 | 22,689 | +25% | 1 | 1 | 0% | 2,655 | 3,898 | +47% | 0 | 0 | — |
case-05 | fail→fail | 16,667 | 17,448 | +5% | 1 | 1 | 0% | 2,614 | 3,136 | +20% | 0 | 0 | — |
case-06 | pass→pass | 13,691 | 14,716 | +7% | 1 | 1 | 0% | 2,030 | 2,577 | +27% | 0 | 0 | — |
case-07 | pass→fail | 14,164 | 16,144 | +14% | 1 | 1 | 0% | 2,168 | 2,913 | +34% | 0 | 0 | — |
case-09 | pass→pass | 14,036 | 14,728 | +5% | 1 | 1 | 0% | 2,018 | 2,527 | +25% | 0 | 0 | — |
case-10 | pass→pass | 13,264 | 18,559 | +40% | 1 | 1 | 0% | 2,122 | 3,274 | +54% | 0 | 0 | — |
case-11 | fail→fail | 10,667 | 10,152 | -5% | 1 | 1 | 0% | 1,683 | 1,862 | +11% | 0 | 0 | — |
case-12 | fail→fail | 16,796 | 24,734 | +47% | 1 | 1 | 0% | 2,747 | 4,378 | +59% | 0 | 0 | — |
case-13 | pass→pass | 16,051 | 17,029 | +6% | 1 | 1 | 0% | 2,684 | 3,149 | +17% | 0 | 0 | — |
case-14 | pass→pass | 10,965 | 11,670 | +6% | 1 | 1 | 0% | 1,607 | 2,047 | +27% | 0 | 0 | — |
case-15 | pass→pass | 14,878 | 18,718 | +26% | 1 | 1 | 0% | 2,418 | 3,272 | +35% | 0 | 0 | — |
case-16 | fail→fail | 16,287 | 17,470 | +7% | 1 | 1 | 0% | 2,432 | 3,108 | +28% | 0 | 0 | — |
case-17 | pass→pass | 18,096 | 16,638 | -8% | 1 | 1 | 0% | 2,718 | 2,792 | +3% | 0 | 0 | — |
case-18 | pass→pass | 15,367 | 18,285 | +19% | 1 | 1 | 0% | 2,398 | 3,199 | +33% | 0 | 0 | — |
case-19 | pass→pass | 11,724 | 12,106 | +3% | 1 | 1 | 0% | 1,724 | 2,169 | +26% | 0 | 0 | — |
case-20 | pass→pass | 15,074 | 17,171 | +14% | 1 | 1 | 0% | 2,811 | 3,658 | +30% | 0 | 0 | — |
case-21 | fail→fail | 18,167 | 14,837 | -18% | 1 | 1 | 0% | 2,775 | 2,477 | -11% | 0 | 0 | — |
case-22 | pass→fail | 22,590 | 20,462 | -9% | 1 | 1 | 0% | 4,120 | 4,423 | +7% | 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 0 percentage points is the difference between those two pass rates over the 22 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.