frame-logo-outro
Segmented logo assembly, glow bloom, and tagline reveal for video outros or brand closing frames.
Profile →npx skills add nexu-io/open-design --skill frame-logo-outro --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
【模板: Logo 收尾帧 (Logo Outro)】 【意图】视频结尾的品牌 reveal 帧 —— logo 分块拼装 + glow bloom + tagline 上浮 + CTA。Inspired by hyperframes logo-outro。 【画布】1920×1080, 黑色 `#08090c` 或品牌深色背景; 加微妙 vignette `radial-gradient(...)` 让中心更亮。 【布局】 - **中心 Logo**: 用 CSS / 内联 SVG 绘制; 由 4-8 个几何块 (圆 / 方 / 三角 / hairline) 组成。 - 入场动画: 每个块从屏幕外滑入 (±100px 不同方向) + scale 1.4→1.0 + opacity 0→1, 错峰 80ms; 总时长 1.2s。 - 入场完成后, 整个 logo 加 glow bloom: `filter: drop-shadow(0 0 24px <accent>40)`; 同时一道 shimmer `mask-image` 横扫 logo (500ms)。 - **品牌名**: logo 下方 6-8% 位置, 大字 (Inter Tight / SF Pro Display, 48-72px, weight 700, letter-spacing -0.02em), 入场: typewriter or fade-up after logo bloom (1.4s 开始)。 - **Tagline**: 品牌名下方一行 (24-28px, weight 400, opacity 0.7), fade in (1.8s)。 - **底部 CTA + 元数据**: 双行底部 row, 例如 `htmlanything.dev · @htmlanything · 2026`, 11px uppercase letter-spacing 0.16em, 颜色 opacity 0.4, hairline 分隔。 【调色 — 4 选 1, 不混用】 - 🌌 **Midnight Indigo** — bg `#08090c`, accent `#7c5cff` (霓虹紫蓝 glow)。 - 🌅 **Solar Amber** — bg `#0e0a08`, accent `#ffb547` (暖琥珀)。 - 🌿 **Forest Mint** — bg `#0a1410`, accent `#5fb38a` (薄荷绿)。 - ⚪ **Bone & Ink** — bg `#f1efea`, accent `#0a0a0b` (无 neon, 走 editorial 风, glow 改成阴影)。 【设计细节】 - **绝不**: 用外链 logo 图片; log
What does the frame-logo-outro skill do?
Segmented logo assembly, glow bloom, and tagline reveal for video outros or brand closing frames.
How do I install it?
Run `npx skills add nexu-io/open-design --skill frame-logo-outro --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From nexu-io/open-design, a repository with 83,577 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.