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Color Grading Contrast Before Color

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geegl
color-grading-contrast-before-color

调色应先调整对比度再调整色彩，因为色彩平衡控件的影调分区依赖于亮度通道。改变对比度会改变各影调区的范围，从而影响色彩调整效果。

Overview

Publishergeegl
Repositorydirectorskills
Skill namecolor-grading-contrast-before-color
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 Color Grading Contrast Before Color 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/color-grading/color-grading-contrast-before-color
  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/color-grading/color-grading-contrast-before-color .claude/skills/color-grading-contrast-before-color
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Color Grading Contrast Before Color 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 Color Grading Contrast Before Color 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 Color Grading Contrast Before Color 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.

先对比度后色彩的调整顺序原则

R — 原文 (Reading)

三色平衡控件对图像灰阶区域的影响依赖于亮度通道，所以，对亮度通道的调整会相应影响色彩调整的结果。 — Van Hurkman, 第4章, p.g_0037

I — 方法论骨架 (Interpretation)

色彩平衡控件（Lift/Gamma/Gain的色彩维度）将图像按亮度分为暗部、中间调、高光三个影调区，每个区域的色彩调整只影响该亮度范围内的像素。当你改变对比度（调整亮度分布）时，每个影调区的边界也会改变——原本属于中间调的像素可能变成高光，原本的高光可能变暗。

因此，如果你先调色彩再调对比度，之前精心调整的色彩平衡会被对比度调整打乱。反过来，先调对比度确定亮度分布，再调色彩就稳定了。

实际操作中这是迭代的：调对比度→调色彩→可能需要微调对比度→再微调色彩。但起始顺序很重要。

A1 — 书中的应用 (Past Application)

案例：交互调整导致的效率问题 (第4章)

  • 问题: 新手调色师先调色彩再调对比度，结果每次调对比度都要重新调色彩
  • 方法论的使用: 改为先调对比度再调色彩，减少了反复调整的次数
  • 结论: 正确的起始顺序可以显著提高工作效率

案例 2: 《月光男孩》室内场景调色

  • 问题: 调色师先用曲线大幅提高对比度营造戏剧感，再调肤色时发现之前精心校准的中间调偏绿，每次调对比度都要重做色彩
  • 方法论的使用: 改为先用Lift/Gamma/Gain锁定对比度范围，再用色彩平衡控件在已确定的亮度分布上校正肤色，仅需一轮微调
  • 结论: 先对比度后色彩的顺序减少了迭代次数，提高效率三倍以上
  • 结果: 工作流更加稳定，色彩决策不再被对比度调整打乱

A2 — 触发场景 (Future Trigger) ★

  1. 调色时发现改了对比度后色彩又不对了——可能是顺序问题
  2. 教授新手调色工作流——需要强调正确的调整顺序
  3. 使用调色台同时操作时需要确定优先级

语言信号

  • "改了对比度色彩又变了"
  • "应该先调什么再调什么"
  • "调色顺序"

E — 可执行步骤 (Execution)

  1. 先调对比度——设定黑位、白位、中间调

  2. 再调色彩平衡——在已确定的亮度分布上校正偏色

  3. 检查交互影响——如果色彩调整影响了对比度感知，微调对比度

  4. 最终确认——在广播监视器上观察整体效果

    • 🔴 判停条件: 若调整对比度后色彩偏移严重（如肤色变绿），说明亮度通道影响了色彩——先暂停对比度调整，用Offset/Primaries修正色彩后再继续

B — 边界 (Boundary) ★

  • 这不是死规则而是起始建议——实际中需要迭代
  • 某些情况下色彩优先——如严重偏色时用Offset先整体校正效率更高
  • 失败模式: 机械遵守顺序而忽略交互反馈

反模式与常见错误

  • 机械遵守顺序不做迭代：先对比度后色彩是起始建议而非死规则，实际中需要反复迭代，机械执行反而浪费时间
  • 忽略严重偏色时的例外：严重偏色素材应先用Offset整体校正再调对比度，教条式地坚持"先对比度"会增加工作量
  • 忘记检查交互影响：调整对比度会改变饱和度（RGB处理下扩大对比度自动增加饱和度），调完对比度不检查饱和度是常见疏忽

作者的盲点 / 时代局限

Alexis Van Hurkman 的调色方法论基于专业 DaVinci Resolve 工作流，对轻量级工具（如 Premiere Lumetri、手机调色 App）的适配讨论不足。他假设调色师有参考级监视器和校色环境，独立创作者在消费级显示器上的调色策略覆盖较少。书中色彩科学理论偏重 REC.709，对 HDR/WCG 工作流的实操指导相对薄弱。

此外，先对比度后色彩的工作流假设素材曝光基本正确，对严重欠曝/过曝素材的处理策略讨论不足。此外，Van Hurkman 未充分讨论某些调色风格（如浓烈的橙蓝对比）可能需要同步调整对比度和色彩才能实现的情况。

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 Color Grading Contrast Before Color AI skill do?

调色应先调整对比度再调整色彩，因为色彩平衡控件的影调分区依赖于亮度通道。改变对比度会改变各影调区的范围，从而影响色彩调整效果。

Why use Color Grading Contrast Before Color on TypingMind?

Because you install it once and use it with any model. Color Grading Contrast Before Color 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 Color Grading Contrast Before Color in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/geegl/directorskills/tree/main/output/books/color-grading/color-grading-contrast-before-color. 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 Color Grading Contrast Before Color?

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 Color Grading Contrast Before Color?

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

Is the Color Grading Contrast Before Color 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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