video-script-generator

生成短视频脚本和分镜。输入产品/主题描述、目标受众、时长,输出完整脚本+分镜结构(JSON/YAML)。支持多种模板:痛点-解决、反转剧情、before-after。触发词:视频脚本、短视频文案、分镜、storyboard、video script。

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Install skill "video-script-generator" with this command: npx skills add oliviapp8/video-script-generator

短视频脚本+分镜生成

工作流程

  1. 收集输入信息
  2. 选择模板风格
  3. 生成脚本+分镜结构
  4. 输出结构化数据供下游消费

输入参数

参数必填说明
topic产品/主题描述
audience目标受众
duration时长:15s / 30s / 60s / 90s
template-模板:pain-solution / before-after / plot-twist
platform-平台:douyin / xiaohongshu / youtube-shorts
tone-语气:professional / casual / humorous / dramatic

模板说明

pain-solution(默认)

痛点引入 → 解决方案 → 效果展示 → CTA

before-after

对比前的状态 → 转折点 → 对比后的状态 → CTA

plot-twist

正常叙事 → 意外反转 → 揭示真相 → CTA

详见 templates/ 目录。

输出格式

meta:
  title: "脚本标题"
  duration: 30s
  platform: douyin
  template: pain-solution

script:
  hook: "开场钩子文案"
  
  scenes:
    - id: 1
      type: hook           # hook/pain/solution/demo/cta
      duration: 3s
      narration: "旁白/台词"
      shot_description: "镜头描述:特写/中景/全景,动作,表情"
      visual_style: "画面风格提示"
      demo_insert: false
      
    - id: 2
      type: pain
      duration: 5s
      narration: "..."
      shot_description: "..."
      demo_insert: false
      
    - id: 3
      type: solution
      duration: 8s
      narration: "..."
      shot_description: "产品界面展示"
      demo_insert: true
      demo_action: "点击生成按钮,展示结果"
      
    - id: 4
      type: cta
      duration: 3s
      narration: "链接在评论区"
      shot_description: "logo + 二维码"
      demo_insert: false

  cta: "链接在评论区 / 点击头像私信"
  
music_suggestion: "轻快节奏 / 紧张悬疑 / 温馨治愈"

场景类型

type用途典型时长
hook开场吸引2-3s
pain痛点展示3-5s
solution解决方案5-10s
demo产品演示5-15s
result效果展示3-5s
twist反转3-5s
cta行动号召2-3s

时长分配参考

总时长场景数分配建议
15s3-4hook(2) + core(10) + cta(3)
30s4-6hook(3) + pain(5) + solution(15) + cta(3)
60s6-8hook(3) + pain(8) + solution(35) + result(10) + cta(4)

使用示例

用户:帮我写一个30秒的短视频脚本,推广我的AI写作工具,目标用户是自媒体博主

执行:

  1. 确认参数:topic=AI写作工具, audience=自媒体博主, duration=30s
  2. 选择模板:pain-solution(默认)
  3. 生成脚本+分镜
  4. 输出 YAML 结构

下游对接

输出的结构化数据可直接用于:

  • digital-avatar skill:提取 narration 生成口播
  • scene-video-generator skill:按 shot_description 生成画面
  • video-stitcher skill:按 duration 拼接

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