Color Correction

Color Correction is a Quality skill for Claude Code, published by artokun in comfyui-mcp.

659 stars103 forkson artokun/comfyui-mcpAdded 2026/08/24+9% in starsRepository updated 2026/08/24

agent-skillsai-agentclaude-codeclaude-plugincomfyuicomfyui-extensioncomfyui-mcpcomfyui-mcp-serverfluximage-generationlocal-firstmcpmcp-servermodel-context-protocolofflineollamaself-hostedstable-diffusionvideo-generationwan

Install in seconds

Install Color Correction

Copy Color Correction into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/color-correction ~/.claude/skills/color-correction

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/artokun/comfyui-mcp.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugin/skills/color-correction/SKILL.md in artokun/comfyui-mcp
Installs to: ~/.claude/skills/color-correction
Collection: One of 25 skills cataloged from this repository
Category: Quality — 1354 skills

What Color Correction does

Color Correction measures image or video frames with analyze_color so you can diagnose washout, clipping, saturation, and color cast from stats instead of guessing. Use it when a render looks flat or off, and re-measure after contrast, levels, or match fixes.

Color Correction is cataloged under Quality on DirSkills. Color Correction comes from a repository tagged agent-skills, ai-agent, claude-code, claude-plugin and comfyui.

Documentation

README

Excerpt

Color Correction (measure, don't eyeball)

The core principle

You cannot reliably judge color from a storyboard / contact sheet. "Is it washed out?" flip-flops by eye, especially on AI-gen video. Make color measurable with the get_image (action:"analyze_color") MCP tool, read the numbers like a colorist reads scopes, then pick the fix the data points to — and re-measure to confirm. The whole skill is this loop:

extract a frame ─► get_image (action:"analyze_color") ─► read black/white points + contrast + saturation
       ▲                                          │
       │                                          ▼
   re-measure  ◄──── apply fix (levels / contrast / match) ◄── diagnose from the numbers

This is the opening of the README. Read the full README on GitHub.

Commands Color Correction provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/save

Frequently asked about Color Correction

What else does artokun publish alongside Color Correction?
Color Correction is one of 25 skills that DirSkills catalogs from artokun/comfyui-mcp, the repository it ships in. Its siblings there include AI-Toolkit LoRA Trainer, Anima Base and Citron Anima LoRA Trainer. Each one is a separate skill with its own page in this directory, installs the same way Color Correction does, and is maintained by artokun in that same repository. The rest of the collection is listed on the artokun/comfyui-mcp page.
How does Color Correction compare to other Quality skills?
Color Correction ranks #1096 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Color Correction against them. Open each page to compare what they document and how they install.