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Get Started Free →NYT-newsroom 排版 + 错峰揭示动画 + 编辑级图表 (折线/柱/范围带)
.claude/skills/nexu-io-frame-data-chart-nyt/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 184% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 157% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 191% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 126% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 112% | 0% |
【模板: NYT 风数据图表帧】 【意图】把一段数据 (CSV / JSON / 一句结论) 做成《纽约时报》专栏感的单帧/动画图表, 适合视频片段或推特卡。Inspired by hyperframes data-chart。
【画布】1920×1080, 暖白底 #f7f5ee 或墨黑底 #0e0e0e 二选一; 文字色和背景相反。
【布局】
#a91d1d 或 mint #5fb38a): 数据来源 + 类目, 如 "GLOBAL · WEEKLY ACTIVE USERS · 2018–2026"。2024 · 412M 黑色 mono 小字。#e6e2d2 包络 + 中线 ink。prefers-reduced-motion 关闭。【设计细节】
Source Serif Pro 或 Cheltenham (无则用 Playfair Display); body IBM Plex Sans 或 Inter; 数据标签 IBM Plex Mono。#a91d1d / 编辑 mint #5fb38a / 暖橙 #d97757 三选一)。<text class="annot">2024 · 412M</text>。| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 27,600 | 27,000 | -2% | 1 | 1 | 0% | 6,293 | 7,036 | +12% | 0 | 0 | — |
case-02 | fail→fail | 27,232 | 26,862 | -1% | 1 | 1 | 0% | 6,234 | 6,995 | +12% | 0 | 0 | — |
case-03 | fail→fail | 28,198 | 27,269 | -3% | 1 | 1 | 0% | 6,228 | 6,972 | +12% | 0 | 0 | — |
case-04 | fail→fail | 10,565 | 27,395 | +159% | 1 | 1 | 0% | 2,256 | 6,940 | +208% | 0 | 0 | — |
case-05 | fail→fail | 24,953 | 28,926 | +16% | 1 | 1 | 0% | 5,836 | 6,935 | +19% | 0 | 0 | — |
case-06 | fail→fail | 38,792 | 31,049 | -20% | 1 | 1 | 0% | 1,392 | 6,927 | +398% | 0 | 0 | — |
case-07 | fail→pass | 12,252 | 25,914 | +112% | 1 | 1 | 0% | 2,456 | 6,973 | +184% | 0 | 0 | — |
case-08 | fail→fail | 7,933 | 23,109 | +191% | 1 | 1 | 0% | 1,419 | 6,243 | +340% | 0 | 0 | — |
case-09 | fail→fail | 17,068 | 26,106 | +53% | 1 | 1 | 0% | 3,236 | 6,937 | +114% | 0 | 0 | — |
case-10 | pass→pass | 15,199 | 26,121 | +72% | 1 | 1 | 0% | 2,529 | 6,936 | +174% | 0 | 0 | — |
case-11 | fail→pass | 12,988 | 22,929 | +77% | 1 | 1 | 0% | 2,270 | 5,828 | +157% | 0 | 0 | — |
case-12 | fail→pass | 13,198 | 21,735 | +65% | 1 | 1 | 0% | 1,921 | 5,593 | +191% | 0 | 0 | — |
case-13 | fail→pass | 14,048 | 24,070 | +71% | 1 | 1 | 0% | 2,653 | 5,990 | +126% | 0 | 0 | — |
case-14 | fail→pass | 9,823 | 13,460 | +37% | 1 | 1 | 0% | 1,754 | 3,715 | +112% | 0 | 0 | — |
case-15 | fail→fail | 13,314 | 23,249 | +75% | 1 | 1 | 0% | 2,420 | 5,800 | +140% | 0 | 0 | — |
case-16 | pass→fail | 16,056 | 26,144 | +63% | 1 | 1 | 0% | 2,702 | 6,917 | +156% | 0 | 0 | — |
case-17 | fail→fail | 15,197 | 26,094 | +72% | 1 | 1 | 0% | 2,625 | 6,906 | +163% | 0 | 0 | — |
case-18 | fail→fail | 13,942 | 25,294 | +81% | 1 | 1 | 0% | 2,052 | 6,081 | +196% | 0 | 0 | — |
case-19 | fail→pass | 9,827 | 3,503 | -64% | 1 | 1 | 0% | 1,711 | 1,286 | -25% | 0 | 0 | — |
case-20 | pass→pass | 11,105 | 4,520 | -59% | 1 | 1 | 0% | 1,919 | 1,426 | -26% | 0 | 0 | — |
case-21 | fail→pass | 11,861 | 5,363 | -55% | 1 | 1 | 0% | 2,405 | 1,697 | -29% | 0 | 0 | — |
case-22 | fail→fail | 10,556 | 1,925 | -82% | 1 | 1 | 0% | 1,797 | 1,052 | -41% | 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, and 21 counted toward the lift figure. The other 1 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 +27 percentage points is the difference between those two pass rates over the 21 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.