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Cinematography Back Lighting

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geegl
cinematography-back-lighting

用户提到从后场打光、叠光、光源光、台灯/窗户照亮演员、真实光源不够亮

Overview

Publishergeegl
Repositorydirectorskills
Skill namecinematography-back-lighting
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 Back Lighting 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-back-lighting
  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-back-lighting .claude/skills/cinematography-back-lighting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cinematography Back Lighting 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 Back Lighting 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 Back Lighting 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.

从后场打光与叠光技术

R — 原文 (Reading)

当我们为一个对话场景布光时，从后场向演员打光总是一个好办法。台灯照射的地方再设置一盏小灯，让它以和台灯一样的角度照射演员。增添的那盏光源需要和台灯拥有一样的品质和一样的色调。 — Brown, 第7章, p.g_0036

I — 方法论骨架 (Interpretation)

从后场打光原则： 后场指的是远离摄影机拍摄的那一侧。从后场向演员打光总比从前场（摄影机同侧）好，因为：

  • 后场打光产生好看的面部阴影，烘托脸部轮廓
  • 前场打光产生扁平、无深度的"证件照"效果
  • 后场打光自然地将主体从背景中分离

叠光技术（Motivated Lighting）： 当场景中有真实光源（台灯、窗户、壁炉）但不足以正确曝光演员时：

  1. 在真实光源照射方向上设置额外灯具
  2. 额外灯具必须匹配真实光源的三个属性：方向、品质（硬/软）、色温
  3. 台灯通常是暖光（约2800K），叠光也必须是暖色

解决的两个核心问题：

  • 真实光源太暗→无法正确曝光演员
  • 真实光源正常曝光→灯泡本身完全过曝（白成一片）

A1 — 书中的应用 (Past Application)

案例：黑色电影风格的叠光

  • 问题：在打字机场景中，需要让打字机上的纸张反射的光照亮演员的脸。
  • 方法论的使用：用一盏300W贝贰尼灯的光线在打字机纸张上反射，让反射光照亮演员的脸。另一盏灯给演员打背光，第三盏灯给身后的地图打光晕。
  • 结论：在纸张上反射的光线令演员的脸显得阴沉，与场景相符，也没有产生不自然的阴影。

案例：台灯叠光的三步平衡

  • 问题：如果直接用台灯照亮演员→灯泡过曝；如果调暗台灯看灯泡细节→演员曝光不足。
  • 方法论的使用：在画面外设置一盏带减光器的灯，与台灯同方向照射演员。通过减光器在真实光源和演员主光之间达到正确的曝光平衡。
  • 结论：叠光的关键是"重叠"——额外光源必须与真实光重叠，否则看起来不自然。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 用户在室内场景拍摄，真实光源不足以照亮演员——"台灯太暗了怎么办？"
  2. 用户需要让窗户光"真的"照亮室内人物——"窗户光太强/太弱"
  3. 用户在设计有光源可见的画面——"灯泡不能过曝但演员也要亮"

语言信号

  • "从后面打光"、"后场打光"、"对话场景怎么打光"
  • "叠光"、"真实光源"、"台灯/窗户/蜡烛照亮"
  • "灯泡过曝了"、"演员太暗但灯泡太亮"
  • "光源光"、"动机照明"

与相邻 skill 的区分

  • 与 light-direction-mood 的区别：灯光方向是情绪层面的方向选择，从后场打光是具体的布光执行原则。
  • 与 three-point-lighting 的区别：三点布光是整体结构，从后场打光和叠光是具体的执行技术。

E — 可执行步骤 (Execution)

  1. 确定后场打光方向

    • 找到摄影机位置的对面（后场）
    • 将主光从后场方向照射演员
    • 完成标准：主光来自远离摄影机的一侧

  2. 识别场景中的真实光源

    • 列出所有可见光源：台灯、窗户、壁炉、蜡烛等
    • 评估每个真实光源是否能正确曝光演员
    • 完成标准：清楚哪些光源需要叠光

  3. 设置叠光

    • 在真实光源照射方向上设置额外灯具

    • 匹配真实光源的品质（硬/软）和色温（暖/冷）

    • 用减光器调整叠光和真实光之间的曝光平衡

    • 完成标准：看起来像是真实光源照亮了演员

    • 🔴 判停条件: 若叠光与真实光源的方向/品质/色温不匹配，或演员看起来不像被真实光源照亮，回到步骤3重新匹配

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 用户的场景没有可见的真实光源（纯人工布光场景）
  • 用户在户外日间外景拍摄（使用反光板或丝绸更合适）
  • 用户在讨论色彩问题而非灯光方向

作者在书中警告的失败模式

  • 叠光方向不匹配：如果叠光与真实光源方向不同，会产生"第二光源"的不自然感。
  • 色温不匹配：用冷色灯光叠在暖色台灯上会让观众觉得"哪里不对"。
  • 忘记减光器：每个真实光都应装减光器，否则无法微调光线平衡。

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，逆光照明的讨论偏重艺术效果，对实际拍摄中的技术挑战（如镜头眩光控制、自动对焦干扰、传感器高光溢出）的应对策略覆盖不足。Brown 假设摄影师能精确控制光源位置，忽略了实景拍摄中自然逆光的不可控性。

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 Back Lighting AI skill do?

用户提到从后场打光、叠光、光源光、台灯/窗户照亮演员、真实光源不够亮

Why use Cinematography Back Lighting on TypingMind?

Because you install it once and use it with any model. Cinematography Back Lighting 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 Back Lighting in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/cinematography-brown/cinematography-back-lighting. 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 Back Lighting?

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 Back Lighting?

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

Is the Cinematography Back Lighting 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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