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grimmediaimage-review-flow-workbenchlisted

Image Review Flow Workbench: Run a Design QA image, video, and asset review board with autosynced JSON state, persistent selection metadata, and follow-up variation/combine prompts.
MindGoblinStudios/grim-tome · ★ 15 · AI & Automation · score 80
Install: claude install-skill MindGoblinStudios/grim-tome
# Image Review Flow Workbench ## Purpose Use Image Review Flow Workbench when the user wants to explore image or asset concepts through a fast design QA review loop: - generate four variants at a time; - show them in the Image Review Flow Workbench artifact; - let the user heart/select, keep, revise, reject, or mark final images; - use those selections to make variations, combinations, or refined batches; - keep exact prompts, critique, QA notes, and batch metadata readable for future agent turns. Image Review Flow Workbench is the image-generation and candidate-review board for design QA loops. Video review support: - The artifact can also display local `.mp4`, `.webm`, `.mov`, and `.m4v` review assets in the same four-up board. - Store video candidates in `items[].image` with the artifact-relative video path. - Use this for short trailer, ad, motion, and transition review batches when the review workflow is otherwise the same as image selection. - Video cards lazily attach their media source and autoplay muted/looped when they are visible or near the viewport, so large boards do not try to load every clip at once. - Keep every explicit review row to four cards or fewer so Browser annotations, hearts, and fullscreen controls stay easy to target. - Do not pad a row to four cards. If there is only one unique clip, create a one-card row. If multiple filenames point to the same generated clip or visually identical output, keep one representative item instead of duplicating it