mcpbeat

Render Airdrop Carousel

gooseworks-ai/render-airdrop-carousel

Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a ___ · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an Accept tap; a chime + soft per-swap ticks track the swaps. DETERMINISTIC assembly — an HTML card (real DOM text) rendered to PNG via headless Chrome, chroma-keyed, its magenta window refilled per-product in PIL, then animated + audio-synthed with FFmpeg. FREE (no paid model calls); the recipe supplies the brand line, product images, and payoff and gates the only optional paid step (a hero shot when the brand has NO usable photo → create-image-fal). Use for the airdrop-notification-carousel format.

7k tokens
context cost
the whole folder, loaded on every use
7
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-airdrop-carousel

What comes with it

24 755 bytes besides the instruction
scripts/build_card.py
scripts/compose_carousel.py
scripts/config.example.json
scripts/one_shot.py
skill.meta.json
tests/smoke-test.md

The instruction itself

5 sections, as written by the author

The free, deterministic renderer for the airdrop-notification-carousel video ad

format — the viral iOS "AirDrop" trend where a native share-sheet card

("Brand would like to share a *candle* · Decline / Accept") springs up on the

phone and its preview window flips through a carousel of real product photos,

landing on a range/lineup payoff with an Accept tap.

This is a DETERMINISTIC composite — no generative video, no AI-rendered product.

A real-DOM AirDrop card is rendered once to PNG (headless Chrome), chroma-keyed, and

its preview window is refilled per-product in PIL, then animated + audio-synthed with

FFmpeg. The whole point of the format is crisp system-UI text and real product

photography, both of which a video model would smear. This capability makes **no paid

calls**; the recipe gates the only optional paid step — generating a hero product shot

when the brand has NO usable photo at all (→ create-image-fal).

Default output ≈ 6–8s, 1080×1920, h264 + aac. Duration is DERIVED, not trimmed —

first_hold + (N-1)·per + final_hold. Add images or raise per to lengthen.

Scripts (free)

  • scripts/build_card.py — brand params → chrome.html + chrome-pressed.html: the

AirDrop card on a green page (#00e000) with a magenta preview window

(#ff00ff) and a solid brand band (wordmark SVG or text + tagline). Real DOM text —

AirDrop, Decline, Accept, and the brand line are DOM/SVG, never AI-rendered.

  • scripts/one_shot.py — glue: build_card → headless-Chrome (Playwright) fullPage

screenshot of both card states → compose_carousel. One --config, one MP4.

  • scripts/compose_carousel.py — the render engine: green-key the card → detect the

magenta window → fill it per-product (cover-crop) → blurred per-product backdrop +

push-in → card spring-up (iOS ease-out-back) + carousel + Accept tap → synth audio

(whoosh on entry, chime on land, a tick per swap, a pop on the tap) → encode h264+aac.

  • scripts/config.example.json — the shape of the brand config the recipe binds

(brand-neutral worked defaults; replace every /abs/path/... placeholder).

#00e000 green = page background, keyed to the card's alpha. #ff00ff magenta

= preview window, replaced per product. **Neither color may appear in the card art or

any product photo** — a product image containing near-pure green or magenta gets

keyed/misread. Swap the image or tighten the window_mask thresholds if it bleeds.

Craft rules (faithful to the source molecule)

  • Real product photos only. The format's credibility is that these look like real

AirDropped items — no AI-generated products in the carousel.

  • Never AI-render text — the card UI, wordmark, and band are DOM/SVG composited so

they stay pixel-crisp. Cover-crop the window; white-bg PDP shots reading as "product

in a white tile" is on-brand and fine.

  • 6–16 images, ordered; end on the range — the payoff (final_image) should

read as "the whole line" (lineup / family / all-shades).

  • Hard cuts on rhythm, a tick per swap — do NOT crossfade.
  • Never invent proof — a 1M+ sold tagline must be the brand's OWN stated figure,

not filled from a brand-kit proof section.

  • Duration is derived, not trimmed — add images or raise per; never cut the audio.

Requires

  • Python 3 with numpy + Pillow, and ffmpeg/ffprobe on PATH.
  • Playwright chromium for the screenshot step (`pip install playwright && playwright

install chromium). If Playwright is unavailable, run build_card.py`, screenshot

chrome.html / chrome-pressed.html (fullPage) → chrome-green.png /

chrome-green-pressed.png via the chrome-devtools MCP, then call compose_carousel.py

directly.

  • watch (QC the final master). The recipe gates create-image-fal (optional hero shot

when the brand has NO usable product photo) — the only paid, proxy-routed step.

How to use it

Copy the folder

Take gooseworks-ai/render-airdrop-carousel from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.