Frame Liquid Bg Hero Agent Skill

by nexu-io

WebGL-style fluid displacement background with a quote overlay, suited to video intros, landing heroes, or posters.

2k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

83386

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/nexu-io/open-design --skill frame-liquid-bg-hero

What comes with it

3 849 bytes besides the instruction

example.html

example.md

The instruction itself

as written by the author

【模板: 流体背景 Hero】

【意图】可作为视频片头帧、SaaS landing 顶部 hero、海报底图。WebGL 流体感, 但用 CSS / canvas 退化绘制, 确保单文件可双击打开。Inspired by hyperframes vfx-liquid-background。

【画布】1920×1080 (横) 或 1080×1920 (竖), 二选一。背景占满。

【流体背景 — 3 种实现, 按用户偏好选】

CSS 多层 radial-gradient 错位呼吸 (最稳, 默认推荐):
3-5 个大椭圆 radial-gradient(...), 颜色取自调色板。
每个椭圆套 @keyframes 平移 + scale + hue-rotate, 周期 8-14s, 错峰; 整个画面叠 mix-blend-mode: screen 或 overlay。
顶层加 1 层 backdrop-filter: blur(80px) 让边缘更糊。
Canvas + simple perlin noise (中阶):
80 行 inline JS, 用 requestAnimationFrame 画 metaballs 或 simplex noise field。
性能允许时启用, prefers-reduced-motion 时降回静态截图。
WebGL fragment shader (高阶, 慎用):
用 jsdelivr CDN 引 regl 或 inline plain WebGL。
shader 写 domain-warp noise; 单个 quad, 一个 uniform u_time。

【顶层文字层】

居中或左下: 一句巨型金句 (5-7vw, 衬线或粗 sans), 字体: Source Serif Pro / Inter Tight / Manrope Black。
文字色用 paper white #fafaf8 或 ink, 取决于背景明暗; 加 mix-blend-mode: difference 让它在任何流体颜色上都可读。
副标 (小 sans, opacity 0.7) 一行。
底部可选 CTA chip 或 hairline + 元数据 row。

【调色 — 4 选 1, 不要彩虹】

🌅 Solar Peach — #ffb18a + #f78b4c + #d97757, 暖橙桃。
🌊 Ocean Aqua — #5ac8fa + #0a84ff + #1e3a8a, 海蓝。
🌌 Aurora Violet — #a78bfa + #7c5cff + #1e1b4b, 极光紫。
🌿 Forest Mint — #86efac + #34d399 + #065f46, 苔森林。

【设计细节】

严禁: 多色彩虹 (>4 个色相)、PowerPoint 渐变、霓虹荧光叠加。
字体: 中文用 Noto Serif SC (display) / Noto Sans SC (副标)。
严禁外链图片; 全部 CSS + SVG + 可选 canvas。
必须用用户提供的金句 / 标题; 如果用户输入是数据 → 提炼一句 ≤ 18 字的金句。
单文件 HTML, 可被 prefers-reduced-motion 关动效。

Other skills for the same job

different authors, same section of the catalogue

Canvas Design

by anthropics

vendor ×13

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

13k tokens

How to use it

Copy the folder

Take nexu-io/frame-liquid-bg-hero from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.