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Proceed Video

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niki914
proceed-video

处理并深度解析 UI 交互录屏视频。将原子动效视频切片为 4x4 网格对比图与左右残影对比图,并全方位拆解交互细节(光标变形、触发时机、物理曲线)及推荐前端复现技术栈。

Overview

Publisherniki914
Repositoryzafiro
Skill nameproceed-video
Stars
305
Forks
50
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by niki914 on GitHub. Read the source before you install it.

Installation

Install the Proceed Video 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.
    https://github.com/niki914/zafiro/tree/main/.agents/skills/proceed-video
  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/niki914/zafiro.git /tmp/zafiro
mkdir -p .claude/skills
cp -r /tmp/zafiro/.agents/skills/proceed-video .claude/skills/proceed-video
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Proceed Video 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 Proceed Video 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 Proceed Video 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.

UI 交互视频动效解析 (proceed-video)

本技能专为高保真复刻 UI 设计师网页效果打造。通过将录屏视频解析为切片网格与历史残影图,结合多模态视觉直读,精准捕捉微交互中的速度曲线、回弹物理学与光标细节。


一、 输入约束与要求 (Input Constraints)

  1. 必须为“原子步骤”视频:
    • 录屏必须只包含单一阶段的微交互动效,例如:
      • 【鼠标从外部移入组件上】(Hover 触发)
      • 【鼠标已经在组件上,进行一次点击】(Click 响应)
      • 【鼠标拖拽组件松手回弹】(Drag & Release)
    • 严禁输入长流程或复合多步骤视频(例如“移入卡片 -> 弹出菜单 -> 点击子项 -> 跳转页面”),复合视频会使切片与残影混合混乱,无法精确定量分析。
  2. 格式支持:MP4, MOV, WebM 等标准视频格式。

二、 核心处理流程 (Execution Workflow)

收到用户的视频路径后,严格按照以下步骤执行:

第一步:运行脚本生成视觉产物

使用内置脚本 proceed_video.py 对视频进行解析与切片处理:

bash
# 自动运动检测模式(推荐常规原子视频使用)
python3 "<skill_dir>/scripts/proceed_video.py" "<video_path>" -o "<output_dir>"

# 若用户明确指定了动效区间或视频较长(例如 2.5s 开始,持续 0.8s)
python3 "<skill_dir>/scripts/proceed_video.py" "<video_path>" -o "<output_dir>" -s 2.5 -d 0.8 --fps 30 --rows 4 --cols 4

脚本将默认生成两类核心产物并保存至输出目录:

  1. grid_slice.png(4×4 网格切片图):
    • 类似电影胶片分镜,按时间序列展开 16 个关键切片,用于横向对比各帧的加速度变化与回弹超调。
  2. ghost_sbs.png(左右对比残影图):
    • 左侧:正常的清晰静态基准帧(便于了解组件真实外观);
    • 右侧:越早越淡、层次清晰的历史残影图(展现运动轨迹、连贯性与位移幅度)。

第二步:多模态直读与双重视图交叉验证

  1. 直读原视频:
    • 优先使用多模态文件查看工具(如 view_file)直接读取原始视频,从全局动态视角把握交互质感与流畅度。
  2. 查验切片产物:
    • 查看生成的 grid_slice.png 与 ghost_sbs.png,在静态维度下核实微小的时间差(毫秒级)和几何变化(位移像素、旋转角度)。

第三步:输出结构化复刻分析报告

完成观察后,用清晰专业的自然语言输出详细报告,报告必须涵盖以下核心模块:

1. 组件视觉层级与初始态 (Visual Hierarchy)
  • 描述背景颜色、主组件尺寸、边框风格(Border)、圆角大小(Border Radius)。
  • 描述多图层上下层级关系(如前置主卡片与后置隐藏卡片的 Z-index 结构)。
2. 光标特殊形态与变换细节 (Cursor Morphing)
  • 鼠标指针在进入组件前后是否有特殊形态变换(例如:常态图标是什么、取得焦点后是否变成特定图标、透镜、放大镜或磨砂玻璃光圈)。
  • 光标是否有自定义尺寸、模糊滤镜(backdrop-filter)或背景透射效果。
3. 触发机制与交互时机 (Trigger Mechanism)
  • 明确是无需点击(纯 Hover 触发)还是点击触发(Click)。
  • 碰撞盒判定边界(进入边缘即触发,还是有延迟防抖)。
4. 动效物理学与运动曲线 (Motion Physics)
  • 过渡总时长:以毫秒(ms)为单位(例如 300ms ~ 350ms)。
  • 位移与旋转:X 轴与 Y 轴的具体位移幅度(px)、旋转方向与角度(deg)。
  • 回弹与物理曲线 (Spring / Overshoot):
    • 是否存在弹簧超调回弹(在何时达到最大形变,随后回弹多少像素)。
    • 是否为加速弹出后缓动停靠。
  • 移出或反向动效 (Exit / Retract):光标离开后的收回速度与曲线。
5. 推荐技术栈与高保真复现方案 (Tech Stack Recommendation)
  • 动效库选择:
    • 强烈倾向使用成熟动效库(如 React 环境下的 Framer Motion,使用 type: "spring" 配置 stiffness 与 damping 参数)。
    • 避免手动手搓复杂的三次贝塞尔曲线(cubic-bezier)。
  • 特殊视觉效果实现:
    • 针对磨砂玻璃、高斯模糊等效果,倾向使用原生 CSS 属性(如 backdrop-filter: blur(...))或现成组件库,避免手搓 WebGL 着色器。
    • 提供具体的参考代码片段(TypeScript / React / CSS)。

三、 参数调优指南 (Tuning Reference)

根据用户的录屏节奏,可在调用脚本时灵活微调参数:

动效场景建议参数说明
超快微动效 (100ms ~ 300ms)--fps 60 --steps 10提高抽帧频率,捕捉眨眼间的弹簧回弹
慢速缓动动效 (800ms ~ 2s)--fps 15 -d 1.5降低帧率,拉长持续时间,避免帧与帧之间差异过小
非标准网格需求--rows 3 --cols 3 (9帧) 或 --rows 3 --cols 4 (12帧)单图更大,展示更清晰

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 Proceed Video AI skill do?

处理并深度解析 UI 交互录屏视频。将原子动效视频切片为 4x4 网格对比图与左右残影对比图,并全方位拆解交互细节(光标变形、触发时机、物理曲线)及推荐前端复现技术栈。

Why use Proceed Video on TypingMind?

Because you install it once and use it with any model. Proceed Video 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 Proceed Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/niki914/zafiro/tree/main/.agents/skills/proceed-video. 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 Proceed Video?

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 Proceed Video?

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

Is the Proceed Video AI skill free?

Yes. It is published on GitHub by niki914 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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