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historical-science-video-prod

Create a production materials package for a three-minute history or science explainer. Supply a topic, historical period, and scientific conclusion to generate narration, a storyboard, Veo2 prompts, and character design guidelines.

OriginalShow the original description

自媒体创作者与内容创作者在制作历史科学类3分钟科普短视频时,使用此技能可一键生成包含口播文案、分镜脚本、Veo2提示词及人物规范的全流程素材包,完美适配即梦平台,让视频创作更高效。

See how to install

Good for

  • Prepare materials for a video about a scientific discovery
  • Plan a three-minute explainer about the butterfly effect
  • Coordinate storyboard shots and character appearance
  • Adjust a video's retro style and narration structure

Files included (9)

  • SKILL.md3.3 KB
  • assets/output-templates/script-template.txt315 B
  • assets/output-templates/storyboard-template.md950 B
  • assets/output-templates/veo2-prompts-template.txt1.1 KB
  • references/multi-agent-architecture.md4.4 KB
  • references/script-structure.md5.3 KB
  • references/style-guide.md2.4 KB
  • references/veo2-prompt-template.md3.9 KB
  • scripts/generate_video_materials.py13.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

历史科学类科普短视频自动化生成 Skill

任务目标

  • 本 Skill 用于:自动化生成历史科学类3分钟科普短视频的全流程素材
  • 能力包含:口播文案创作、分镜脚本规划、Veo2提示词生成、人物形象设计
  • 触发条件:用户需要制作历史科学类科普视频,希望快速获得完整的素材包

前置准备

  • 依赖说明:无需额外安装,依赖包已在 dependency 字段中声明
  • 输入要求:用户提供科普主题、年代背景、核心科学结论

操作步骤

  • 标准流程:

    1. 准备输入信息

      • 确定科普主题(如"蝴蝶效应的起源"、"青霉素的发现")
      • 明确年代背景(如"1961年"、"1928年")
      • 提炼核心科学结论(如"初始条件的敏感性")
    2. 执行生成脚本

      • 调用 scripts/generate_video_materials.py 处理...
      • 传入参数:--theme、--era、--core_conclusion、--output_dir
    3. 查看输出素材

      • output/script.txt - 3分钟口播文案(约900-1100字)
      • output/storyboard.md - 分镜脚本表(30-35个分镜)
      • output/veo2_prompts.txt - Veo2提示词清单
      • output/character_design.md - 人物形象规范
  • 可选分支:

    • 当 需要调整风格:在 references/style-guide.md 中修改复古风格参数
    • 当 需要优化文案结构:在 references/script-structure.md 中调整时间分配

资源索引

注意事项

  • 脚本会自动调用大模型生成内容,生成时间约1-2分钟
  • 输出文件将保存到指定的 output_dir 目录
  • 确保提供的核心科学结论准确无误,脚本会基于此生成文案
  • 生成的分镜脚本严格遵循3分钟时长,每镜4-6秒

使用示例

  • 功能说明:生成"蝴蝶效应的起源"主题的视频素材包
  • 执行方式:脚本自动调用大模型生成
  • 关键参数或指导要点:主题、年代、核心结论
  • 简单示例代码或命令:
python scripts/generate_video_materials.py \
  --theme "蝴蝶效应的起源" \
  --era "1961年" \
  --core_conclusion "初始条件的微小变化会导致巨大差异,无法长期预测天气" \
  --output_dir "./output"

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