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Phone Ui Demos

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Unclecheng-li
phone-ui-demos

把产品/知识点/文案做成"手机系统 UI 风格"的电影化网页演示动画——观众像在看一台真手机的精心编排录屏:锁屏通知、聊天、设置页、控制中心、App 界面逐镜头呈现,HyperOS/MIUI 级手感动效 + 虚拟时钟播放器,可全屏录屏当成片。只要用户提到:手机 UI 演示、手机录屏风格动画、App 演示网页、把产品做成手机里的演示、锁屏通知动画、系统 UI 风格演示页、或要求改造升级一批手机风格演示页——就用本 Skill。内容完全开放不设限:任何产品功能、课程知识、科普叙事都能转译成"手机里发生的事"。

Overview

PublisherUnclecheng-li
RepositoryAI_Animation
Skill namephone-ui-demos
Stars
1.3K
Forks
104
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Unclecheng-li on GitHub. Read the source before you install it.

Installation

Install the Phone Ui Demos AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Unclecheng-li/AI_Animation.git /tmp/AI_Animation
mkdir -p .claude/skills
cp -r /tmp/AI_Animation/skills/phone-ui-demos .claude/skills/phone-ui-demos
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phone Ui Demos in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Phone Ui Demos on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Phone Ui Demos is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

手机系统 UI 演示动画(一台"真手机"的电影化录屏)

把任意内容做成一辑看起来像真手机精心编排录屏的网页动画:1920×1080 舞台中央一台 3D 姿态活灵活现的手机,内容通过锁屏通知、聊天、设置页、控制中心、App 界面等系统组件逐镜头呈现。整辑接入电影化播放器(黑场起手 / 虚拟时钟 / 分段进度跳转 / 静音开关),可直接全屏录屏当成片用。

video-shot-demos(分镜风格轮换体系)同源的播放器底盘,但本 Skill 的画面法则完全不同:不是 29 种风格轮换,而是全系列统一一套 HyperOS/MIUI 设计语言,靠"壁纸渐变 + 系统场景 + 手机 3D 动作"制造镜头差异。

创作哲学(决定一切产出质量)

  1. 一切信息都要变成"手机里发生的事"。禁止把普通网页元素(普通段落/按钮/导航栏)铺进屏幕——论点变锁屏通知、对话变聊天气泡、数据变圆环滑条、流程变设置列表。像真录屏,不是 PPT。
  2. 真机感来自细节:机身侧键与天线带、挖孔摄像头、屏幕反光、实时状态栏、Home 指示条、壁纸视差。观众潜意识里信了这台手机,演示才有说服力。
  3. 手机是活的演员:有 3D 姿态(摇摆/前倾/横过来/旋走退场),点按会前倾、盖章会震动、强调会转向观众。一台静止的手机=一张截图。
  4. 镜头连续性是铁律:整辑统一背景氛围;除首镜头外手机直接在场(不重播登场动画),每镜初始姿态"接续上镜余韵"。
  5. 两侧大字幕是舞台的一部分:口播文案不放底部字幕条,而是放在背景层(手机图层下方)左右两侧,渐变文字 + 多种入场效果,大而有冲击力。
  6. 每个镜头只讲一件事:一句话 + 一个视觉主体,6–12 秒一次完整的系统交互。

工作流

第 0 步 · 理解输入与分镜表确认

通读用户素材(产品功能清单/大纲/口播稿/知识点),把内容拆成 5–9 个镜头(每个 6–12s),输出分镜表让用户确认后再动工:

镜头 | 时长 | 系统场景(锁屏/通知/聊天/设置/控制中心/弹窗/App页…) | 壁纸渐变主题 | 手机 3D 动作设计 | 承载的信息点

叙事弧参考(实测有效):锁屏开场(手机登场+通知)→ 核心交互(App 打开/对话/流程)→ 数据沉淀(仪表盘/图谱)→ 锁屏收尾(回顾+熄屏+品牌卡)

第 1 步 · 逐页实现

assets/template.html 复制起步——内置全部底盘:虚拟时钟播放器、音效引擎(默认静音+喇叭开关)、1920×1080 舞台 + 统一氛围层、真手机(全细节)、phoneTo 3D 姿态系统、背景大字幕(两种效果示例)、HUD 分段进度 + 镜头跳转、镜头调度。然后只改画面层与 cue。

子系统规范按需读:

  • references/player-and-navigation.md — 播放器底盘 / HUD 分段跳转 / 静音开关 / 镜头间导航
  • references/phone-stage.md — 手机解剖(机身细节/壁纸/状态栏)与 phoneTo 3D 姿态系统全部动作
  • references/bg-captions.md — 背景层大字幕:11 种入场效果库 + 逐字拆字工具
  • references/system-ui-patterns.md — 系统 UI 组件库(通知/聊天/设置/弹窗/App 打开转场…)+ 内容转译映射表 + 镜头连续性规则

写某种系统场景前,先读实例 assets/examples/kexue/ 里的对应镜头(成片级样板,双击 index.html 可运行)。cue 注释标注节拍(// 通知②:AI 出题),DUR = 规定时长 ±0.5s。

第 2 步 · 质检

无头截图(虚拟时钟可快进到任意毫秒):

bash
node ../video-shot-demos/scripts/shot.js 页面.html 6000 _t6s.png

逐张检查:真机感(像录屏吗?)/ 重叠遮挡(两侧大字与手机、屏幕内元素)/ 中间态穿帮(玻璃面板后的孤儿元素)/ 连续性(本镜初始姿态是否接上镜结尾)/ 收尾定格。最后完整播一遍听音效节奏。

第 3 步 · index 总览

与正片同一设计语言的导航页:按幕分组卡片(编号/时长/标题/系统场景标签/壁纸色 glow),页脚标注快捷键与录屏指引。

交付标准(缺一即未完成)

  • 黑场「启动播放」起手;1920×1080 舞台自适应;HUD 默认隐藏、底部唤出
  • HUD 分段进度条(每镜头一段)可点击跳转;Space 暂停 / R 重播 / ←→ 切镜头
  • 音效 WebAudio 合成、默认静音、HUD 喇叭开启
  • 手机全细节:侧键/天线带/挖孔/反光/状态栏 SVG 图标/Home 条;壁纸视差 + Ken Burns
  • 全系列统一背景氛围;每镜头独立壁纸渐变,实体颜色全系列锁定
  • 首镜头手机 3D 登台;其余镜头手机直接在场、初始姿态接续上镜
  • 每镜头 ≥2 次手机 3D 动作(摇摆/前倾/横转…);标志性 App 打开转场 ≥1 次
  • 口播文案在背景层左右两侧:渐变文字、大字号、每镜换效果
  • 屏幕内一切元素都是系统组件;图标全内联 SVG;无 emoji、无真实品牌商标
  • 弹性入场 cubic-bezier(.34,1.56,.64,1);列表 stagger 60–80ms;毛玻璃层级 ≥2 层
  • 无重叠遮挡、无中间态穿帮;结尾定格体面(收尾镜头熄屏 + 品牌卡)
  • index.html 总览可逐页打开

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Phone Ui Demos AI skill do?

把产品/知识点/文案做成"手机系统 UI 风格"的电影化网页演示动画——观众像在看一台真手机的精心编排录屏:锁屏通知、聊天、设置页、控制中心、App 界面逐镜头呈现,HyperOS/MIUI 级手感动效 + 虚拟时钟播放器,可全屏录屏当成片。只要用户提到:手机 UI 演示、手机录屏风格动画、App 演示网页、把产品做成手机里的演示、锁屏通知动画、系统 UI 风格演示页、或要求改造升级一批手机风格演示页——就用本 Skill。内容完全开放不设限:任何产品功能、课程知识、科普叙事都能转译成"手机里发生的事"。

Why use Phone Ui Demos on TypingMind?

Because you install it once and use it with any model. Phone Ui Demos is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Phone Ui Demos in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Unclecheng-li/AI_Animation/tree/master/skills/phone-ui-demos. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Phone Ui Demos?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Phone Ui Demos?

As many as you like. As long as a model supports skills, you can use Phone Ui Demos with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Phone Ui Demos AI skill free?

Yes. It is published on GitHub by Unclecheng-li under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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