generating-storyboardslisted

Generates the storyboard sheets for a video — one image per clip, panels in a row, each panel one action. Divides each clip into panels itself, then builds the sheets one at a time, each taking the previous one as a reference, so the person and product stay consistent except where the story deliberately changes them. Use when a video's clip lengths and story are settled and it needs sheets before anything is animated. Not for a still image on its own — that should be made using generating-images.
SupercmoHQ/superCMO-skills · ★ 48 · AI & Automation · score 78

Install: claude install-skill SupercmoHQ/superCMO-skills

# The storyboard One sheet per clip, vertical panels in a row, each panel one action, left to right. Panels are numbered within a sheet; sheets are numbered across the video. **The sheet is always `16:9` and its panels are always vertical**, whatever shape the finished video is. Neither follows the delivery ratio, and neither is the plan's to set. The plan settles how many sheets there are, what happens in each clip and how long it runs, which images come in as references, and the look. How a clip divides into panels is settled here. Anything the plan specifies wins. The defaults below fill gaps only. ## Workflow **One sheet at a time.** Run all six steps for the first sheet, then run all six again for the second, and so on. Sheets cannot be built in parallel or in one call — each prompt needs the previous sheet's finished image in hand. ### Step 1: Collect what's needed - **An image of the person** — wherever a person appears in any panel. - **Product image or images** — where the video has a product. - **The previous sheet** — from the second sheet on. - **What happens in this clip**, and how many seconds it runs. - **How many sheets there are**, and which one this is. - **The look**, where the plan names one. What a supplied image is for comes from the brief, not from its contents — a person in a frame doesn't make it the person reference, and one image can't serve as both the person and the product. **Read every supplied image** with `image_analysis` before deci