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Cinematography Master Scene

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geegl
cinematography-master-scene

用户提到主场景法、先拍什么、镜头顺序、覆盖策略、备选镜头

Overview

Publishergeegl
Repositorydirectorskills
Skill namecinematography-master-scene
Stars
68
Forks
7
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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 geegl on GitHub. Read the source before you install it.

Installation

Install the Cinematography Master Scene 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/geegl/directorskills/tree/main/output/books/cinematography-brown/cinematography-master-scene
  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/geegl/directorskills.git /tmp/directorskills
mkdir -p .claude/skills
cp -r /tmp/directorskills/output/books/cinematography-brown/cinematography-master-scene .claude/skills/cinematography-master-scene
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cinematography Master Scene 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 Cinematography Master Scene 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 Cinematography Master Scene 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.

主场景拍摄法

R — 原文 (Reading)

主场景法非常简单：首先，你从头至尾将整个场景拍摄下来——这就是主镜头。当你拍好主镜头后，就开始拍预备选镜头。除了一些极少数情况，一般先拍摄主镜头总是最佳选择，因为其他所有的镜头都必须服从主镜头的内容。 — Brown, 第2章, p.g_0011

I — 方法论骨架 (Interpretation)

主场景法（Master Scene Method）是拍摄对话场景最常用的策略，核心是"先建框架，再填细节"：

  1. 先拍主镜头：从头到尾拍摄完整场景，建立连续性框架。主镜头不必是远景，但必须包含完整的故事内容。

  2. 再拍备选镜头：包括过肩镜头、中景镜头和特写镜头。它们是填充到主镜头框架中的"砖块"。

  3. 先完成一侧再换另一侧：拍完一个演员的所有镜头后，再换到对面拍另一个演员。这样可以减少灯光和设备的重复调整。

  4. 反应镜头保持一致：拍摄反应镜头时，必须使用与第一位演员镜头相同的焦距和尺寸，确保后期剪辑时人物大小一致。

关键原则：

  • 先拍主镜头，否则会遇到连续性问题
  • 从头到尾拍摄整个场景
  • 人物进画面：从无人画面开始，再让演员走进
  • 人物出画面：确保完全走出，多拍一两秒
  • 所有动作必须重叠拍摄（为剪辑提供安全余量）

A1 — 书中的应用 (Past Application)

案例：主场景法的连续性保障

  • 问题：复杂对话场景需要多个角度，如何保证连续性？
  • 方法论的使用：先用远景主镜头建立场景中所有人物的位置关系、道具位置和动作时间线。然后逐个拍摄备选镜头，每个都与主镜头保持一致。
  • 结论：主镜头是"合同"——所有后续镜头都是这个合同的"执行"。

案例：重叠法（三拍法）的补充

  • 问题：某些场景无法重复表演（如工业生产过程），如何拍摄多个角度？
  • 方法论的使用：使用重叠法——拍摄远景后暂停，换机位拍摄特写，让演员重复上一段表演的最后几步。重叠部分为剪辑提供流畅的连接点。
  • 结论：当主场景法不可用时，重叠法是保证连续性的替代方案。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 用户在规划对话场景的拍摄——"这个对话戏应该先拍什么？"
  2. 用户遇到连续性问题——"为什么我的镜头剪不到一起？"
  3. 用户在设计AI视频的多镜头覆盖——"怎么让多个镜头看起来是同一个场景？"

语言信号

  • "先拍什么镜头"、"拍摄顺序"、"主镜头"
  • "对话场景怎么拍"、"覆盖镜头"、"备选镜头"
  • "连续性"、"接不接戏"、"剪辑不到一起"
  • "过肩镜头"、"反应镜头"

与相邻 skill 的区分

  • 与 180-degree-rule 的区别：主场景法解决"拍什么顺序"，180度法则解决"从哪个方向拍"。
  • 与 three-point-lighting 的区别：主场景法是拍摄策略，三点布光是灯光策略。两者配合使用。

E — 可执行步骤 (Execution)

  1. 规划主镜头

    • 确定主镜头的机位（通常是能看见所有演员的全景或中景）
    • 从头到尾拍摄完整场景，确保包含所有动作和对话
    • 完成标准：主镜头能独立构成一个完整的场景叙事

  2. 规划备选镜头清单

    • 列出需要的过肩镜头、中景、特写
    • 确定先拍哪一侧的演员（通常是戏份更重或灯光更复杂的一侧）
    • 完成标准：清单覆盖所有需要的景别和角度

  3. 按顺序拍摄并保持一致

    • 先完成一侧所有镜头，再换到另一侧

    • 每个镜头的焦距、灯光、道具位置必须与主镜头一致

    • 所有动作重叠拍摄（开头多拍几秒，结尾多拍几秒）

    • 完成标准：所有镜头可以流畅地剪辑在一起

    • 🔴 判停条件: 若备选镜头与主镜头在灯光、道具位置或动作时间线上出现不一致，回到步骤1检查主镜头的连续性框架

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 用户在拍摄动作场景（动作场景很少用主场景法，依靠多次重复动作拍摄）
  • 用户在拍摄纪录片风格的自由变形镜头（使用单镜头或手持跟拍）
  • 用户已经确定了拍摄方案且不需要覆盖策略

作者在书中警告的失败模式

  • 先拍备选镜头再拍主镜头：这是最常见的新手错误，会导致连续性灾难。主镜头必须先拍。
  • 忘记重叠拍摄：如果在动作开始时才开始拍、动作结束时立即停，剪辑时会缺少连接点。
  • 反应镜头焦距不一致：如果A用50mm拍、B用85mm剪，来回切换时人物大小变化会让观众困惑。

作者的盲点 / 时代局限

Blain Brown 的分析框架源自传统胶片摄影，对数字传感器的特性（如动态范围、高光滚降、暗部噪声）讨论不足。他假设摄影团队有充足的设备和时间，独立制作或低预算场景的应对策略覆盖较少。案例库以好莱坞和欧洲艺术片为主，对亚洲、拉美等非西方电影传统的摄影风格涉及有限。

此外，主场景拍摄法的讨论假设导演有充足的拍摄时间覆盖所有角度，对快节奏制作（如真人秀、新闻、短视频）的适用性讨论不足。此外，他对多机位拍摄与主场景法的混合使用策略覆盖较少。

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 Cinematography Master Scene AI skill do?

用户提到主场景法、先拍什么、镜头顺序、覆盖策略、备选镜头

Why use Cinematography Master Scene on TypingMind?

Because you install it once and use it with any model. Cinematography Master Scene 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 Cinematography Master Scene in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/cinematography-brown/cinematography-master-scene. 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 Cinematography Master Scene?

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 Cinematography Master Scene?

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

Is the Cinematography Master Scene AI skill free?

Yes. It is published on GitHub by geegl 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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