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Get Started Free →Use this plugin when the user wants a "Electric Studio Frame" HyperFrames motion video — Two-panel split with quote as hero — white/blue panels open from center, accent bar grows, quote reveals line by line.
.claude/skills/nexu-io-video-template-frame-electric-studio/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -67% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -60% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -40% | 0% |
Two-panel split with quote as hero — white/blue panels open from center, accent bar grows, quote reveals line by line.
A HyperFrames-ready HTML + CSS + GSAP motion composition, bundled under source/. It renders deterministically to MP4 / WEBM at 16:9, 1:1, default 15s, 60fps.
Best for: Pull-quote / testimonial reveal · Mission statement card · Clean high-contrast title
source/index.html to understand the named layers and the animation timeline.source/; do not introduce external network assets that would break a headless render.Source: html-video templates/frame-electric-studio (license Apache-2.0). Derived from frontend-slides (Zara Zhang, MIT) — https://github.com/zarazhangrui/frontend-slides.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 41,052 | 44,392 | +8% | 1 | 1 | 0% | 8,247 | 8,513 | +3% | 0 | 0 | — |
case-02 | fail→fail | 14,384 | 26,739 | +86% | 1 | 1 | 0% | 2,738 | 5,828 | +113% | 0 | 0 | — |
case-03 | fail→fail | 32,425 | 37,514 | +16% | 1 | 1 | 0% | 6,752 | 8,027 | +19% | 0 | 0 | — |
case-04 | fail→pass | 26,496 | 9,219 | -65% | 1 | 1 | 0% | 1,921 | 1,849 | -4% | 0 | 0 | — |
case-05 | fail→pass | 10,971 | 1,903 | -83% | 1 | 1 | 0% | 1,692 | 565 | -67% | 0 | 0 | — |
case-06 | fail→pass | 14,199 | 10,778 | -24% | 1 | 1 | 0% | 2,550 | 2,286 | -10% | 0 | 0 | — |
case-07 | fail→fail | 16,343 | 29,795 | +82% | 1 | 1 | 0% | 2,725 | 6,621 | +143% | 0 | 0 | — |
case-08 | pass→pass | 12,550 | 7,676 | -39% | 1 | 1 | 0% | 1,974 | 1,562 | -21% | 0 | 0 | — |
case-09 | pass→pass | 9,680 | 7,574 | -22% | 1 | 1 | 0% | 1,474 | 1,479 | +0% | 0 | 0 | — |
case-10 | pass→pass | 11,742 | 2,638 | -78% | 1 | 1 | 0% | 1,936 | 719 | -63% | 0 | 0 | — |
case-11 | fail→pass | 13,695 | 3,367 | -75% | 1 | 1 | 0% | 2,102 | 842 | -60% | 0 | 0 | — |
case-12 | fail→pass | 12,385 | 5,533 | -55% | 1 | 1 | 0% | 1,942 | 1,167 | -40% | 0 | 0 | — |
case-13 | fail→pass | 5,886 | 5,901 | +0% | 1 | 1 | 0% | 953 | 1,175 | +23% | 0 | 0 | — |
case-14 | fail→pass | 9,601 | 5,823 | -39% | 1 | 1 | 0% | 1,387 | 1,184 | -15% | 0 | 0 | — |
case-15 | fail→pass | 14,768 | 11,652 | -21% | 1 | 1 | 0% | 2,373 | 2,180 | -8% | 0 | 0 | — |
case-16 | fail→pass | 14,050 | 9,788 | -30% | 1 | 1 | 0% | 2,248 | 1,836 | -18% | 0 | 0 | — |
case-17 | fail→pass | 12,259 | 1,897 | -85% | 1 | 1 | 0% | 1,907 | 541 | -72% | 0 | 0 | — |
case-18 | fail→pass | 13,224 | 3,769 | -71% | 1 | 1 | 0% | 1,907 | 896 | -53% | 0 | 0 | — |
case-19 | fail→pass | 10,941 | 10,721 | -2% | 1 | 1 | 0% | 1,777 | 2,255 | +27% | 0 | 0 | — |
case-20 | pass→pass | 14,599 | 4,328 | -70% | 1 | 1 | 0% | 2,437 | 938 | -62% | 0 | 0 | — |
case-21 | fail→pass | 27,608 | 1,952 | -93% | 1 | 1 | 0% | 4,685 | 578 | -88% | 0 | 0 | — |
case-22 | pass→pass | 11,535 | 4,809 | -58% | 1 | 1 | 0% | 1,759 | 1,024 | -42% | 0 | 0 | — |
case-23 | pass→pass | 24,283 | 21,166 | -13% | 1 | 1 | 0% | 4,394 | 4,242 | -3% | 0 | 0 | — |
case-24 | pass→pass | 11,964 | 6,938 | -42% | 1 | 1 | 0% | 2,189 | 1,642 | -25% | 0 | 0 | — |
case-25 | pass→pass | 11,109 | 11,129 | +0% | 1 | 1 | 0% | 2,046 | 2,288 | +12% | 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. 25 cases were attempted. The headline lift of +52 percentage points is the difference between those two pass rates over the 25 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.