Directing Contrast Emphasis

Community

geegl

directing-contrast-emphasis

(1) 元素太多不知道该突出什么；(2) 本能反应是把重要的东西放大而非把不重要的东西缩小；(3) 场景中所有元素的视觉/叙事权重平均，缺乏层次

Overview

Publisher	geegl
Repository	`directorskills`
Skill name	`directing-contrast-emphasis`
Stars	68
Forks	7
Bundled files	1
License	MIT
Links	Skill source Repository

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 Directing Contrast Emphasis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/geegl/directorskills/tree/main/output/books/directing-masterclass/directing-contrast-emphasis
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/geegl/directorskills/tree/main/output/books/directing-masterclass/directing-contrast-emphasis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/directing-masterclass/directing-contrast-emphasis .claude/skills/directing-contrast-emphasis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Directing Contrast Emphasis 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 Directing Contrast Emphasis 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 Directing Contrast Emphasis 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.

通过对比强调（排版师思维）

R — 原文 (Reading)

强调某个内容，就要淡化处理或排除其他内容。让一个东西抓人眼球，并不总是把它放大那么简单，而是要让它有那么一点与众不同。 — Mackendrick, 第19章, ~p.125

I — 方法论骨架 (Interpretation)

排版师的核心直觉是：让一个元素突出的方式不是把它变大，而是让它周围的一切变小。这个原理看似简单，但在实际创作中被违反的频率极高——大多数人的本能是不断给重点元素"加码"（更大的字体、更亮的颜色、更多的特写），而忽视了"做减法"才是真正的强调手段。

在电影中，这个原理贯穿三个层面：

景别层面：给主角特写、给配角中景或远景——景别差异本身就是一种"强调/淡化"操作
声音层面：关键对话时刻压低环境音，或者反过来在嘈杂环境中让主角的沉默变得震耳——"没有声响不等于安静"
时间层面：给谁更多银幕时间，谁就更重要——时间分配是最隐蔽但最有效的强调手段

排版师思维的关键翻转是：先决定"什么不显示"，再决定"怎么显示"。一个设计良好的页面/镜头/场景，其力量来自于它所省略的，而非它所呈现的。这就是为什么"空白"不是"空"——它是强调。

这个原理同样适用于非视觉领域：写文章时先决定删掉哪些段落，做演讲时先决定略过哪些数据，设计产品时先决定隐藏哪些功能。对比强调是一个跨媒介的注意力管理框架。

A1 — 书中的应用 (Past Application)

案例 1: 麦肯德里克在广告公司的排版训练

问题: 如何在一张广告中让产品成为视觉焦点？
方法论的使用: 麦肯德里克在进入电影行业前，在 J. 华特·汤姆森广告公司学习排版。他的任务不是设计产品图——而是决定哪些元素需要被淡化、被排除、被降低视觉权重。多年后他意识到，这些"相当简单粗暴的工作任务"恰恰是对电影导演工作的"一流训练"，因为导演的核心决策同样是：此刻什么东西最重要？其他东西如何为它让路？
结论: "重要的不是你把阴影放在哪儿，而是你没把阴影放在哪儿。"
结果: 这段经历直接影响了他在电影中对景别、灯光和声音对比的运用。

案例 2: 主次有别——景别决定认同

问题: 如何操控观众在两个角色之间的认同偏向？
方法论的使用: 麦肯德里克在第 19 章和第 23 章中阐述：如果拍一个角色用特写、另一个用中景，观众自然与特写角色产生更强的认同。这不是"谁的镜头多"的简单计算——而是景别差异制造的心理距离差异。配合时间分配（给谁更多银幕时间）和角度（正面 vs 侧面），导演可以精密操控观众的认同立场。
结论: 导演的"强调"不是一个元素层面的操作，而是一个关系层面的操作——通过调整多个元素之间的对比来实现。
结果: 这构成了"隐身见证人操控法"（f05）的实操基础。

A2 — 触发场景 (Future Trigger)

用户会在什么情境下需要这个 skill?

UI/UX 设计师面对信息密度高的界面（仪表盘、数据面板），需要让用户快速找到关键指标
演讲者/培训师在幻灯片上堆满信息后，发现观众抓不住重点
剪辑师面对大量素材，需要通过景别和节奏对比来引导观众注意力

语言信号

"不知道该看哪里" "信息太多"
"重点不够突出" "什么都想放上去"
"我想让这个元素更醒目"（潜台词：应该做减法而非加法）

与相邻 skill 的区分

与 f05（隐身见证人视点操控）的区别：f05 是在"观众通过谁的眼睛看故事"这个叙事层面上的操作；f14 更底层——它处理的是任何视觉/信息场景中"什么东西该被看到、什么东西该被忽略"的基本问题

E — 可执行步骤 (Execution)

定义焦点：明确当前场景/页面中"最重要的一个元素"是什么
- 完成标准：用一句话描述此刻最需要受众注意到的东西——只能是一个
- 判停条件：如果无法选出"一个"最重要的元素，说明焦点定义不清，需要先回到故事/产品层面确定优先级
做减法：列出当前场景中所有"竞争注意力"的元素，逐一评估是否可以淡化或移除
- 完成标准：为每个竞争元素标注"保留/淡化/移除"，并说明理由（它对焦点元素是支撑、竞争还是无关）
- 判停条件：被标注"移除"的元素已从方案中删去，被标注"淡化"的元素权重已降低至不干扰焦点
检验对比效果：确认焦点元素与周围元素之间存在足够大的"权重差"
- 完成标准：焦点元素在景别/色彩/声音/时间/空间上与次级元素有明确的差异，差异程度足以让"最不细心的受众"也能注意到焦点
- 判停条件：如果焦点和周围元素的权重差异不够明显，继续加强对比（不是放大焦点，而是进一步淡化周围）

B — 边界 (Boundary)

不要在以下情况使用此 skill

信息平等展示的场景（如学术论文的对比实验、法律文书的条款罗列）：这些场景中所有元素的权重本就应该平等，对比强调会扭曲信息的客观呈现

作者在书中警告的失败模式

反例 ce09（把"视觉的"等同于"画面漂亮的"）：追求单帧画面的美感——完美的构图、漂亮的光线——却忽视了镜头之间的关系和对比。结果拍出了"壁纸"而非叙事。越"干净"的画面往往越没有力量。
案例 c19（BBC 录制环境声的困境）：实地录音只得到"无法辨识的混杂噪声"，因为自然界的声音没有"主次"——必须分别录制每种音效，再经过精心编排和混录才能重现"自然"效果。"真实感"需要人工精心建构。

作者的盲点 / 时代局限

麦肯德里克的排版思维来自 1940-60 年代的平面设计传统，当时的视觉环境远比今天简单。在信息过载的当代数字界面中，"减法"的边际效用可能递减——用户可能已经学会了快速扫描而非仔细观看
他的框架主要针对叙事电影，在非叙事性视觉艺术（如装置艺术、沉浸式体验）中，"突出一个焦点"的假设可能不成立——这些形式可能追求的就是"无焦点的全面感知"

容易混淆的邻近方法论

"构图规则"（如三分法、黄金分割）：构图规则是单帧内的静态布局技巧，对比强调是跨帧/跨元素的动态权重管理——前者是后者的子集
"声画对立"（g11）：声画对立是对比强调在"声音 vs 画面"这个特定维度上的应用

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
蒸馏时间: 2026-06-07

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json3 KB

Frequently asked questions

What does the Directing Contrast Emphasis AI skill do?

(1) 元素太多不知道该突出什么；(2) 本能反应是把重要的东西放大而非把不重要的东西缩小；(3) 场景中所有元素的视觉/叙事权重平均，缺乏层次

Why use Directing Contrast Emphasis on TypingMind?

Because you install it once and use it with any model. Directing Contrast Emphasis 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 Directing Contrast Emphasis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/directing-masterclass/directing-contrast-emphasis. 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 Directing Contrast Emphasis?

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 Directing Contrast Emphasis?

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

Is the Directing Contrast Emphasis 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.

View all

Teach

mattpocock

CommunityPopular

Teach the user a new skill or concept, within this workspace.

Api Design

Patrones de diseño REST API incluyendo nomenclatura de recursos, códigos de estado, paginación, filtrado, respuestas de error, versionado y rate limiting para APIs de producción.

Accessibility

WCAG 2.2 レベル AA 標準を用いてインクルーシブなデジタルプロダクトを設計・実装・監査します。Web 用のセマンティック ARIA および Web・ネイティブプラットフォーム（iOS/Android）のアクセシビリティトレイトを生成するために使用します。

Archify

Validated interactive HTML diagrams, upstream-maintained.

Directing Contrast Emphasis

Overview