Image Compare logo

Image Compare

Organization
pascalorg
image-compare

Compare two images pixel-by-pixel and get a visual diff. Use when the user wants to compare their implementation against a design, spot differences between two screenshots, or verify visual regression.

Overview

Publisherpascalorg
Repositoryskills
Skill nameimage-compare
Stars
93
Forks
25
Bundled files
4
Links
  • 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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by pascalorg on GitHub. Read the source before you install it.

Installation

Install the Image Compare 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.
  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/pascalorg/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/image-compare .claude/skills/image-compare
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Image Compare 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 Image Compare 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 Image Compare 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.

Image Compare

Compare two images pixel-by-pixel. Returns a diff count, mismatch percentage, and generates a diff image highlighting the differences in red.

When to Use

  • Comparing an implementation screenshot against the original design
  • Spotting visual regressions between two versions of a page
  • Verifying that a UI matches a Figma export

How It Works

  1. Both images are loaded and resized to match dimensions (uses the smaller of the two)
  2. pixelmatch compares every pixel and flags differences above a configurable threshold
  3. Returns mismatch stats and writes a diff image showing changes in red

Usage

bash
bash <skill-path>/scripts/image-compare.sh <image1> <image2> [diff-output.png] [threshold]

Arguments:

  • image1 — First image path (required)
  • image2 — Second image path (required)
  • diff-output.png — Path to write the diff image (optional, defaults to ./diff.png)
  • threshold — Pixel matching threshold 0-1, lower is stricter (optional, defaults to 0.1)

Examples:

bash
# Compare a design against implementation
bash <skill-path>/scripts/image-compare.sh design.png screenshot.png

# Compare with custom threshold and output path
bash <skill-path>/scripts/image-compare.sh before.png after.png ./changes.png 0.05

Output

json
{
  "totalPixels": 921600,
  "differentPixels": 4523,
  "mismatchPercentage": 0.49,
  "dimensions": { "width": 1280, "height": 720 },
  "diffImage": "./diff.png",
  "threshold": 0.1
}
FieldTypeDescription
totalPixelsNumberTotal pixels compared
differentPixelsNumberNumber of pixels that differ
mismatchPercentageNumberPercentage of pixels that differ
dimensionsObjectWidth and height used for comparison
diffImageStringPath to the generated diff image
thresholdNumberSensitivity threshold used

Present Results to User

After comparing, present a summary:

Comparison: design.png vs screenshot.png

Mismatch: 0.49% (4,523 pixels out of 921,600)
Diff image saved to: ./diff.png

The images are nearly identical. Differences are highlighted in red in the diff image.

Interpret the percentage:

  • < 0.1% — Essentially identical
  • 0.1% - 1% — Minor differences, likely anti-aliasing or sub-pixel rendering
  • 1% - 5% — Noticeable differences, worth reviewing
  • > 5% — Significant visual changes

Troubleshooting

Different sized images — The script automatically resizes both images to the smaller dimensions. For best results, use images of the same size.

Too many false positives — Increase the threshold (e.g., 0.2). Anti-aliasing differences are common between browsers.

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 Image Compare AI skill do?

Compare two images pixel-by-pixel and get a visual diff. Use when the user wants to compare their implementation against a design, spot differences between two screenshots, or verify visual regression.

Why use Image Compare on TypingMind?

Because you install it once and use it with any model. Image Compare 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 Image Compare in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pascalorg/skills/tree/main/image-compare. 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 Image Compare?

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 Image Compare?

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

Is the Image Compare AI skill free?

It is published on GitHub by pascalorg. Check the repository for licensing terms. 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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