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Remotion Video Enhancer

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anbeime
remotion-video-enhancer

影片与视频编辑及自媒体创作者在制作PPT或视频需要提升视觉表现力时,使用此技能可一键生成Remotion风格的高级转场与Framer Motion交互动画,自动规划动画序列,让内容呈现专业级动态效果。

Overview

Publisheranbeime
Repositoryskill
Skill nameremotion-video-enhancer
Stars
7.9K
Forks
703
Bundled files
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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.

  • 10 bundled files

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

  • Open source

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

Installation

Install the Remotion Video Enhancer 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/anbeime/skill/tree/main/skills/remotion-video-enhancer/remotion-video-enhancer
  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/anbeime/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/skills/remotion-video-enhancer/remotion-video-enhancer .claude/skills/remotion-video-enhancer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Remotion Video Enhancer 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 Remotion Video Enhancer 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 Remotion Video Enhancer 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.

Remotion 视频增强工具

任务目标

  • 本 Skill 用于:为 PPT 内容和视频添加 Remotion 风格的转场和动画效果
  • 能力包含:高级视频转场、Framer Motion 交互式动画、动画序列规划、多媒体增强
  • 触发条件:用户需要增强视频转场效果、添加交互式动画、或与其他 PPT Skill 协同

前置准备

  • 依赖说明:scripts 脚本所需的依赖包
    moviepy>=1.0.3
    pillow>=9.0.0
  • 系统依赖:FFmpeg(必需,用于视频转场处理)
    bash
    # Ubuntu/Debian
    sudo apt-get install ffmpeg
    
    # macOS
    brew install ffmpeg

操作步骤

标准流程(完整动画增强)

步骤 1:接收输入数据

根据协同模式,接收不同输入:

  • 来自 ppt-generator:JSON 格式的 PPT 数据
  • 来自 nanobanana-ppt-visualizer:图片文件或 HTML 播放器
  • 来自 ppt-roadshow-generator:已合成的视频文件
  • 用户直接提供:图片序列、视频文件或 JSON 数据
步骤 2:动画规划与配置
  1. 分析输入内容,确定动画类型:
    • 视频转场增强(使用 FFmpeg)
    • HTML 交互式动画(使用 Framer Motion)
    • 混合模式(视频 + HTML)
  2. 调用 scripts/animation_planner.py:
    bash
    python scripts/animation_planner.py \
      --input ./input_data \
      --style dynamic \
      --output ./animation_plan.json
  3. 输出动画配置(animation_plan.json),包含:
    • 每个页面/片段的转场类型
    • 动画时长和缓动曲线
    • 元素入场/出场效果
    • 交互式触发条件
步骤 3:视频转场增强(FFmpeg)
  1. 调用 scripts/video_transitions.py:
    bash
    python scripts/video_transitions.py \
      --input ./video.mp4 \
      --transitions ./animation_plan.json \
      --output ./enhanced_video.mp4
  2. 支持的转场类型:
    • 淡入淡出 (Fade):经典淡入淡出效果
    • 滑动 (Slide):上下左右滑动
    • 缩放 (Zoom):推拉镜头效果
    • 翻转 (Flip):3D 翻转效果
    • 旋转 (Rotate):旋转过渡
    • 模糊 (Blur):模糊过渡
    • 溶解 (Dissolve):像素溶解效果
    • 弹性 (Elastic):弹性动画
  3. 每种转场支持自定义:
    • 转场时长(默认 1-2 秒)
    • 缓动曲线(linear, ease-in, ease-out, ease-in-out, bounce, elastic)
    • 方向(上下左右)
步骤 4:HTML 动画增强(Framer Motion)
  1. 调用 scripts/html_animations.py:
    bash
    python scripts/html_animations.py \
      --input ./ppt_data.json \
      --template enhanced_viewer.html \
      --output ./animated_viewer.html
  2. Framer Motion 动画效果:
    • 页面过渡:流畅的页面切换动画
    • 元素入场:标题、内容逐个进场
    • 悬停效果:鼠标悬停时的反馈动画
    • 点击效果:点击时的涟漪或缩放效果
    • 滚动效果:滚动时的视差动画
  3. 交互式特性:
    • 键盘导航动画
    • 触摸手势支持
    • 全屏过渡动画
    • 进度条动画
步骤 5:输出增强内容
  1. 视频增强输出:enhanced_video.mp4
  2. HTML 动画输出:animated_viewer.html
  3. 动画配置:animation_plan.json

与其他 Skill 协同

与 ppt-generator Skill 协同
用户请求:"生成一个带高级转场的 PPT 视频"

┌─────────────────────────────────────────────────────────┐
│  ppt-generator Skill                                    │
├─────────────────────────────────────────────────────────┤
│  7 角色协作生成 JSON 数据                                │
│  输出:ppt_data.json                                    │
└─────────────────────────────────────────────────────────┘
                          │
                          ▼ JSON 数据
┌─────────────────────────────────────────────────────────┐
│  remotion-video-enhancer Skill                         │
├─────────────────────────────────────────────────────────┤
│  1. 动画规划(animation_planner.py)                     │
│  2. HTML 动画增强(html_animations.py)                 │
│  3. 输出:animated_viewer.html                          │
└─────────────────────────────────────────────────────────┘
与 nanobanana-ppt-visualizer Skill 协同
用户请求:"为生成的播放器添加 Framer Motion 动画"

┌─────────────────────────────────────────────────────────┐
│  nanobanana-ppt-visualizer Skill                        │
├─────────────────────────────────────────────────────────┤
│  生成 HTML 播放器 + 图片                                  │
│  输出:viewer.html, slide-*.png                          │
└─────────────────────────────────────────────────────────┘
                          │
                          ▼ HTML 文件
┌─────────────────────────────────────────────────────────┐
│  remotion-video-enhancer Skill                         │
├─────────────────────────────────────────────────────────┤
│  1. 使用 Framer Motion 增强 viewer.html                 │
│  2. 添加页面过渡、元素入场、交互效果                      │
│  3. 输出:animated_viewer.html                           │
└─────────────────────────────────────────────────────────┘
与 ppt-roadshow-generator Skill 协同
用户请求:"为路演视频添加高级转场效果"

┌─────────────────────────────────────────────────────────┐
│  ppt-roadshow-generator Skill                           │
├─────────────────────────────────────────────────────────┤
│  10 角色协作生成路演视频                                  │
│  输出:roadshow_video.mp4                                │
└─────────────────────────────────────────────────────────┘
                          │
                          ▼ 视频文件
┌─────────────────────────────────────────────────────────┐
│  remotion-video-enhancer Skill                         │
├─────────────────────────────────────────────────────────┤
│  1. 动画规划(animation_planner.py)                     │
│  2. 视频转场增强(video_transitions.py)                 │
│  3. 应用 Remotion 风格转场                              │
│  4. 输出:enhanced_roadshow_video.mp4                   │
└─────────────────────────────────────────────────────────┘

独立使用模式

模式 A:仅生成动画配置
bash
python scripts/animation_planner.py \
  --input ./ppt_data.json \
  --style dynamic \
  --output ./animation_plan.json
  • 适用于:用户希望手动调整动画参数
  • 输出:animation_plan.json
模式 B:仅增强视频转场
bash
python scripts/video_transitions.py \
  --input ./video.mp4 \
  --transitions ./animation_plan.json \
  --output ./enhanced_video.mp4
  • 适用于:已有视频,需要增强转场效果
  • 输出:enhanced_video.mp4
模式 C:仅生成 HTML 动画
bash
python scripts/html_animations.py \
  --input ./ppt_data.json \
  --template enhanced_viewer.html \
  --output ./animated_viewer.html
  • 适用于:需要交互式动画播放器
  • 输出:animated_viewer.html

可选分支

  • 快速模式:使用默认动画配置,跳过动画规划
  • 自定义模式:用户提供自定义动画配置 JSON
  • 批量处理:一次性处理多个视频或 PPT
  • 模板模式:使用预设动画模板(见 assets/animations/)

资源索引

注意事项

  • 本 Skill 不依赖任何第三方 AI API,所有动画使用 FFmpeg 和 Framer Motion 实现
  • 视频转场使用 FFmpeg,确保已安装
  • HTML 动画使用 Framer Motion CDN,无需安装
  • 动画配置 JSON 格式必须符合规范(见 references/transition_guide.md)
  • 与其他 Skill 协同时,确保输入格式正确
  • 支持批量处理,但建议单个视频不超过 100 页
  • Framer Motion 动画仅在现代浏览器中支持

使用示例

示例 1:与 ppt-generator 协同生成动画播放器

  • 功能说明:ppt-generator 生成内容,remotion-video-enhancer 添加动画
  • 执行方式:ppt-generator → remotion-video-enhancer(Framer Motion)
  • 用户指令:"生成一个产品介绍 PPT,使用 Framer Motion 动画"
  • 输出:animated_viewer.html

示例 2:为路演视频添加高级转场

  • 功能说明:增强现有视频的转场效果
  • 执行方式:ppt-roadshow-generator → remotion-video-enhancer(FFmpeg 转场)
  • 用户指令:"为路演视频添加 Remotion 风格的转场"
  • 输出:enhanced_roadshow_video.mp4

示例 3:自定义动画配置

  • 功能说明:用户手动指定动画类型和参数
  • 执行方式:用户提供 animation_plan.json → 视频转场
  • 配置示例:
    json
    {
      "transitions": [
        {"type": "slide", "direction": "right", "duration": 1.5},
        {"type": "zoom", "scale": 1.2, "duration": 1.0}
      ]
    }
  • 输出:按自定义配置增强的视频

示例 4:批量处理多个视频

  • 功能说明:一次性增强多个视频
  • 执行方式:脚本批量处理
  • 命令:
    bash
    python scripts/video_transitions.py \
      --input-dir ./videos/ \
      --transitions ./animation_plan.json \
      --output-dir ./enhanced_videos/
  • 输出:批量增强的视频文件

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 Remotion Video Enhancer AI skill do?

影片与视频编辑及自媒体创作者在制作PPT或视频需要提升视觉表现力时,使用此技能可一键生成Remotion风格的高级转场与Framer Motion交互动画,自动规划动画序列,让内容呈现专业级动态效果。

Why use Remotion Video Enhancer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anbeime/skill/tree/main/skills/remotion-video-enhancer/remotion-video-enhancer. 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 Remotion Video Enhancer?

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 Remotion Video Enhancer?

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

Is the Remotion Video Enhancer AI skill free?

It is published on GitHub by anbeime. Check the repository for licensing terms. 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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