Render Airdrop Carousel

OrganizationPopular

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.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-airdrop-carousel`
Stars	1.2K
Forks	208
Bundled files	6
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Render Airdrop Carousel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-airdrop-carousel

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/ads/capabilities/render-airdrop-carousel .claude/skills/render-airdrop-carousel

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Airdrop Carousel in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Render Airdrop Carousel on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Render Airdrop Carousel is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

render-airdrop-carousel

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).

Chroma contract (load-bearing — build_card.py and compose_carousel.py MUST share it)

#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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Render Airdrop Carousel AI skill do?

Why use Render Airdrop Carousel on TypingMind?

Because you install it once and use it with any model. Render Airdrop Carousel is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Render Airdrop Carousel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-airdrop-carousel. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Render Airdrop Carousel?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Render Airdrop Carousel?

As many as you like. As long as a model supports skills, you can use Render Airdrop Carousel with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Render Airdrop Carousel AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

render-airdrop-carousel

Scripts (free)

Chroma contract (load-bearing — build_card.py and compose_carousel.py MUST share it)

Craft rules (faithful to the source molecule)

Requires

Bundled files

Frequently asked questions

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