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Color Grading Log Workflow

Community
geegl
color-grading-log-workflow

当用户处理Log编码素材（RED/ARRI/Sony RAW等）时调用。核心流程：先在Log状态下用Offset做整体调整，再用Shadow/Midtone/Highlight做影调分区，套用LUT正常化后做精细调整。Log状态适合大刀阔斧，正常化后适合精雕细琢。

Overview

Publishergeegl
Repositorydirectorskills
Skill namecolor-grading-log-workflow
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 Log Workflow 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-log-workflow
  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-log-workflow .claude/skills/color-grading-log-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Color Grading Log Workflow 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 Log Workflow 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 Log Workflow 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.

Log编码素材调色流程

R — 原文 (Reading)

对已经正常化的素材使用Shadow、Midtone、Highlight工具，你会发现，每个影调之间的重叠比较轻微，不是很实用。这就是在套用LUT之前，调整这些控件的原因。 — Van Hurkman, 第3章, p.g_0025

I — 方法论骨架 (Interpretation)

Log编码素材保留了摄影机传感器的高动态范围（13-14档），但画面看起来低对比度、低饱和度。其调色需要特殊的两阶段工作流：

阶段一：Log状态下

  • 使用Offset/Exposure做整体信号定位
  • 使用Shadow/Midtone/Highlight做影调分区——在Log状态下这些控件的影响范围更宽、过渡更平滑，因为影调区之间有广泛重叠
  • Pivot/Range控件可自定义影调区边界

阶段二：正常化后

  • 套用LUT或手动正常化到BT.709
  • 使用Lift/Gamma/Gain做精细对比度调整
  • 使用色彩平衡控件做精细色彩校正

核心逻辑：Log状态下控件的行为类似于胶片配光，适合大范围调整；正常化后控件的行为更像传统视频调色，适合精细操作。

A1 — 书中的应用 (Past Application)

案例：ARRI Alexa Log-C素材调色 (第3章)

  • 问题: RAW/Log素材看起来灰蒙蒙，动态范围远超BT.709显示能力
  • 方法论的使用: 先在Log状态用Offset整体定位，再用Shadow/Midtone/Highlight做初步影调，最后套LUT正常化后用Lift/Gamma/Gain精调
  • 结论: Log状态下的Shadow控件向中间调区域延伸更多，提供更平滑的过渡

案例 2: RED Monstro 8K VV素材调色

  • 问题: RED RAW素材在Log3G10编码下动态范围极高，直接套LUT后高光裁切严重，天空细节完全丢失
  • 方法论的使用: 先在Log状态用Offset整体降低信号2档保护高光，再用Shadow/Midtone/Highlight做宽范围影调，最后套LUT正常化后用Lift/Gamma/Gain精调天空区域的高光恢复
  • 结论: Log状态下先做信号定位是防止正常化后细节丢失的关键步骤
  • 结果: 成功保留了14档动态范围内的高光和暗部细节

A2 — 触发场景 (Future Trigger) ★

  1. 拿到Log编码素材（RED Log3G10/ARRI Log-C/Sony S-Log3）需要调色
  2. 客户提供LUT需要在调色流程中集成
  3. RAW素材反拜耳后看起来严重过曝但需要找回高光细节

语言信号

  • "这是Log素材/RAW素材"、"需要套LUT"
  • "画面看起来灰灰的/低对比度"
  • "摄影机动态范围很大"

E — 可执行步骤 (Execution)

  1. 在Log状态做整体调整——用Offset/Exposure定位信号范围

  2. 用Shadow/Midtone/Highlight做影调分区——利用Log状态下的宽重叠做平滑过渡

  3. 套用LUT或正常化——转换到目标显示标准

  4. 用Lift/Gamma/Gain做精细调整——此时控件影响更精确

  5. 做色彩平衡和饱和度微调

    • 🔴 判停条件: 若正常化后发现高光或暗部细节丢失，说明Log状态下未做充分的信号定位，回到步骤1在Log状态下重新调整Offset

B — 边界 (Boundary) ★

  • 不要在正常化后再用Shadow/Midtone/Highlight——过渡会变得尖锐不自然
  • 不要在Log状态下做精细色彩校正——控件影响范围太宽，精度不够
  • 失败模式: 忘记在套LUT前做初步调整，导致正常化后丢失高光/暗部细节

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，LOG 工作流的讨论偏重技术层面，对创意层面的影响（如 LOG 素材的'平面'感如何影响导演和客户的现场判断）涉及较少。此外，他假设调色师有完整的后期流程支持，对独立创作者从 LOG 到交付的全链路实操指导不足。

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 Log Workflow AI skill do?

当用户处理Log编码素材（RED/ARRI/Sony RAW等）时调用。核心流程：先在Log状态下用Offset做整体调整，再用Shadow/Midtone/Highlight做影调分区，套用LUT正常化后做精细调整。Log状态适合大刀阔斧，正常化后适合精雕细琢。

Why use Color Grading Log Workflow on TypingMind?

Because you install it once and use it with any model. Color Grading Log Workflow 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 Log Workflow 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-log-workflow. 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 Log Workflow?

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 Log Workflow?

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

Is the Color Grading Log Workflow 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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