{"slug":"short-drama-storyboard","title":"short-drama-storyboard","summary":"把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用；不生成媒体。","platform":"Claude","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-09-01T21:33:21.965848Z","repo":{"url":"https://github.com/zenstory-ai/drama-skills","stars":2572,"forks":556,"license":"MIT","updatedAt":"2026-10-03T08:56:29Z"},"bodyHtml":"
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name: short-drama-storyboard\ndescription: 把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用；不生成媒体。\nlicense: MIT

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短剧分镜与冻结关键帧

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把剧本和视觉事实转成有镜头职责、空间连续性和可冻结起点的 剧集/<EP>/分镜.md。\n每镜使用二级标题 ## SHOT-...，同镜下用 ### 冻结关键帧提示词 写起始帧正文。

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Quick Start

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用 $short-drama-storyboard 完成 EP001 的正式分镜和每镜冻结关键帧\n
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入口

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当前剧本加必要视觉事实即可直接进入。资产图片提示词与分镜是兄弟分支，不互相等待。只有关键场次\n真的存在多个成立导演方案时，才在上下文比较覆盖方案；普通场次直接设计。

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创作者可读说明跟随项目语言；冻结关键帧的可复制正文跟随\nshort-drama.json#/format/prompt_language。没有 short-drama.json 时正文默认使用 en。\n分配镜头时长前读取\nshort-drama.json#/creator_authority/production_profile/choices/native_duration_seconds。已声明目标模型但\n没有原生时长时先补这一个选择；目标模型也未声明时照常按叙事节奏设计，不猜供应商限制。

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工作流

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  1. 读取已接受的目标模型原生时长区间，再确认每个场景动作、对白、声音、画面文字和转折由哪些镜头承载。
    2. \n
  2. 确定观众何时知道什么、对齐谁、空间如何揭示、转折落在哪个可见动作。\n剧本或 Brief 用“前半段 / 后半段 / 前三分之一 / 最后 N 秒”等相对时间限定首次出现、释放或禁止时，\n先用已接受集长换成明确时间边界再分镜；例如 60 秒作品的“后半段首次出现”不得早于 30 秒。
    3. \n
  3. 每镜写清唯一职责、来源、时长、景别/机位、起点、唯一主要动作、终点、声音和视觉依据；用\n起点 → 唯一动作 → 终点 直接说明人物、双手与持物怎样完成本镜状态转换。
    4. \n
  4. 锁定人物朝向、位置、视线、持物、出入口、屏幕方向和必要状态；上游已有会限制动作空间的持续关系时，把关系投影进本镜起点与终点。
    5. \n
  5. 冻结关键帧只投影镜头起点；删除终点才出现的文字、动作、姿态或道具状态。
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  6. 整集请求完成整集，末端一次报告覆盖、节奏和真实未决选择。
    7. \n
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镜头要求

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视觉依据与图片

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按需知识

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默认只读本 SKILL、当前剧本和必要视觉事实。遇到对应问题时只打开一份：

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修订

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保留未受影响的镜头 ID。拆镜、并镜或改变镜头职责时，说明哪些下游视频提示词需要刷新，但不自动\n重写用户没点名的文件。

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完成

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点名范围的原文都有镜头落实，每镜职责不重复、空间与状态连续、起止边界可制作、关键帧可冻结，即\n完成。本次请求同时修改《图片提示词.md》与《分镜.md》时，当轮刷新受影响镜头的引用；不另建覆盖表。\n视频提示词、生产和审查只有用户点名时开始。\n五份创作文档齐备后，可转 $short-drama 对跨文档结构做一次机械核对；内容质量仍由创作者审查。

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安装维护

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只有安装、升级或排障时运行 python3 scripts/selftest.py。

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