Split oversized images into readable segments using whitespace-aware boundaries.
npx skills add https://github.com/llm011/ethan-agent --skill image-split
Please help me install this Agent Skill. Skill: image-split Source: https://github.com/llm011/ethan-agent/tree/main/ethan/defaults/skills/image-split Command: npx skills add https://github.com/llm011/ethan-agent --skill image-split
This Skill divides oversized or content-heavy images into manageable sections while reducing the chance of cutting through text or important visual content.
Use the image-split skill to divide the attached long screenshot into two vertically arranged image slices and save the results beside the source file.
High-intent search queries and answers about installing and using this skill.
To split a long screenshot without cutting through text, this Skill analyzes pixel variance to locate whitespace-aware boundaries and divides the image into readable segments. It searches for low-variance blank lines near ideal boundaries to place clean split points.
Yes, you can split images into a grid using Pillow and numpy. This Skill configures horizontal columns and vertical rows for grid-based cutting, then saves the resulting slices as PNG or in the source image format.
Yes, you need Python 3 with Pillow and numpy installed to process image splitting. These dependencies are required to analyze pixel data, locate whitespace-aware boundaries, and save the resulting slices for document preparation.
The best way to partition oversized images for sharing is using whitespace-aware cuts. This approach divides content-heavy images into manageable sections by searching near ideal boundaries for blank lines, reducing the chance of cutting through visual content.
Yes, whitespace detection works for both horizontal and vertical image partitioning. The Skill analyzes pixel variance to locate low-variance blank lines or columns in either direction, applying the technique to long screenshots and image tiling alike.
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