answer-ads-questions
Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused,…
Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings
$ npx -y skills add gooseworks-ai/goose-skills --skill render-whiteboard-explainer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/render-whiteboard-explainerContext preview
The summary Claude sees to decide when to auto-load this skill.
Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings
name: render-whiteboard-explainer description: Assemble a whiteboard explainer video ad from a beats file — a narrator explains one idea while a real whiteboard fills up in black marker, with a hand-lettered title, bulleted rows down the left, a drawing filling the right, and a payoff that letters the closing line and rings the claim. The board is a PHOTOGRAPH and the ink is multiplied onto it, so the surface sheen and window light come through the strokes; the drawings are generated as line art and traced to ordered strokes, then revealed in drawing order on the word they belong to. The layout is SOLVED from the beats, never hand-placed. FREE assembly (Pillow plus ffmpeg) apart from one board photo and one drawing per subject, both one-time per brand. Use for the whiteboard format. status: draft
The renderer for the **whiteboard** video ad format: a voice explains one idea while a board fills up in marker, the way a graphic recorder works a room. Every mark lands on the word it belongs to, and the board is wiped and reused between sections.
Siblings in the chat-UI family are `render-imessage-chat`, `render-chatgpt-chat` and `render-apple-notes-chat`, where a screen is the creative. Reach for this one when the creative is **someone explaining a thing by drawing it**.
**The board is a photograph.** A drawn board reads as a drawn board, and a plain white frame reads as a sketch film. Both were built and both were rejected. One generated still of a real blank whiteboard in a real room is the plate, and the ink is multiplied onto it so the surface sheen and the window light come through the strokes rather than sitting on top as flat black. The handheld drift is generated over both layers at once, so nothing can slide against anything.
**The drawings are generated as line art, then traced.** Do not hand-code them, and do not trace painterly images. Art traced from a photograph carries every contour the photograph had and reads as clip-art; art generated as a marker drawing traces to a handful of confident paths. An open hand came back as a single continuous stroke. Chain each generation off the first so the line weight matches across the set.
**There is no colour.** Black marker throughout. Do not add an accent.
The recipe asks these before any paid step; this renderer only draws what the beats say.
timings, so it is settled first and never changed afterwards.
both. One number can be marked as the hero, which letters it large instead of as another row.
claim it refers to.
Brand facts come from the brand kit.
1. **The plate.** One photograph of a blank board in a room, generated once per brand, then cropped so the board fills the frame with its side edges running out of shot. The writable surface is measured off the image and pulled inside the caption safe zone before anything is mapped through it. 2. **The drawings.** One black line drawing per subject the script names, generated once per brand and traced into ordered stroke paths. 3. **The layout.** Solved from the beats, not authored. Rows go down a left column, drawings down a right one, with an enforced gutter between them, and the content runs the full height of the board. Boards are split at a pause near a balanced boundary, which is where a person would wipe. 4. **The video.** Marks appear stroke by stroke in drawing order, each starting on its own word. Text is written letter by letter. The board wipes between sections. Captions sit inside the safe zone and never run ahead of the voice. 5. **The master.** Gentle compression before a measured two-pass loudness normalisation, then a limiter. Targets minus fourteen LUFS with true peak under minus one and a half, and keeps the payoff hold intact.
the wrong word does not look wrong, it silently reorders the video: one that matched an early word instead of a late one once dragged a whole section to the front, and the ad played its ending first with nothing reporting a problem. Anchors are resolved once, shared by the solver and the renderer, and an ambiguous one is refused rather than guessed at.
ring — takes its target as an argument and works out its own position. Anything sharing space with a drawing is bounded by that drawing's box. Two things placed at coordinates chosen independently will eventually meet.
a drawn eye and fans emphasis marks beside its phrases, but those belong to that board's brand. Reproduced on another script they are decoration that means nothing. Filler has to be about something: a drawing of what the line refers to, never abstract specks.
judged — whether a mark is about the line it sits under, whether the payoff says the closing line. No automated check decides that. Then the finished cut, watched end to end with the `watch` skill.
**The voice comes with its word timings.** `create-vo-elevenlabs` re
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Repo: gooseworks-ai/goose-skills
Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused,…
Burned-in captions for a finished vertical video, three kinds. transcribe.py gets word…
Composite a generated creator track into a product layer, per beat — in the creator's zone on…
Generate an AI creator talking to camera, saying an approved script, as one continuous track…
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...),…
Generate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports…