image-comparison-tool
Compare images with SSIM similarity scoring, pixel difference highlighting, and side-by-side visualization.
npx skills add majiayu000/claude-skill-registry --skill image-comparison-tool-dkyazzentwatwa-chatgpt-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Image Comparison Tool Compare images with similarity scoring and difference visualization. ## Features - **SSIM Similarity**: Structural similarity index - **Pixel Differences**: Highlight changed areas - **Side-by-Side**: Visual comparison layout - **Diff Heatmap**: Color-coded differences - **Batch Comparison**: Compare multiple image pairs - **Threshold Detection**: Find significant changes ## CLI Usage ```bash python image_comparison.py --image1 before.jpg --image2 after.jpg --output diff.png ``` ## Dependencies - opencv-python>=4.8.0 - scikit-image>=0.21.0 - pillow>=10.0.0 - numpy>=1.24.0 - matplotlib>=3.7.0
- Features
- CLI Usage
- Dependencies
python image_comparison.py --image1 before.jpg --image2 after.jpg --output diff.png
What does the image-comparison-tool skill do?
Compare images with SSIM similarity scoring, pixel difference highlighting, and side-by-side visualization.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill image-comparison-tool-dkyazzentwatwa-chatgpt-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.