Extract video frames into transparent spritesheets with chroma keying and loop detection.
npx skills add https://github.com/zrong/skills --skill spritesheet
Please help me install this Agent Skill. Skill: spritesheet Source: https://github.com/zrong/skills/tree/main/spritesheet Command: npx skills add https://github.com/zrong/skills --skill spritesheet
This skill automates the labor-intensive process of extracting frames from video, removing backgrounds, and aligning subjects to create clean, loopable sprite animations for games or web interfaces.
Use the spritesheet skill to process the video file character_walk.mp4 and generate a 16-frame animation.
High-intent search queries and answers about installing and using this skill.
To create a transparent spritesheet from video, the skill extracts frames and applies automated chroma keying using HSV color space segmentation to remove green, blue, white, or black backgrounds.
Seamless looping animation detection uses subject-aware global seam detection to find perfect loop points, avoiding the common jitter found in simple frame-difference methods.
Yes, OpenCV and NumPy facilitate automated chroma keying by utilizing HSV color space segmentation to detect and remove green, blue, white, or black backgrounds from video frames.
The best way to align character frames for a walk cycle spritesheet is using subject-aware frame alignment, which ensures extracted animation frames remain perfectly aligned for seamless looping.
Automated chroma keying supports black and white backgrounds alongside green and blue, detecting and removing them via HSV color space segmentation during the frame extraction process.
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