Split images into grids and inspect pixel data with parameterized commands.
npx skills add https://github.com/wangtengda0310/prompt --skill image-tools-wangtengda0310
Please help me install this Agent Skill. Skill: image-tools Source: https://github.com/wangtengda0310/prompt/tree/main/skills/image-tools Command: npx skills add https://github.com/wangtengda0310/prompt --skill image-tools-wangtengda0310
图像处理工具集，提供九宫格切分与像素分析，帮助你减少手动图像处理时间。
Split an input image into grids and inspect a pixel to validate grid boundaries and colors.
High-intent search queries and answers about installing and using this skill.
You can split an image into a grid by specifying rows, columns, and padding parameters. The tool supports equal, color, and edge detection modes to segment images for structured visual analysis.
You can inspect pixel color and statistics by providing specific coordinates to the pixel inspect command. This validates visual effects and verifies grid boundaries by retrieving exact color data at targeted locations.
Yes, the image processing tool supports edge detection as a grid splitting mode. It segments images by detecting edges, alongside equal distance and color analysis modes, to facilitate quick structural breakdowns.
The best way to automate nine-grid splitting and pixel checks is using parameterized commands for gridsplit and pixelinspect. You define the grid dimensions and target coordinates to validate interface designs programmatically.
You should use color analysis mode for image grid splitting when you need to segment an image based on color distributions. This mode helps isolate color-specific regions for detailed visual verification.
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