Render Imessage Cascade

OrganizationPopular

gooseworks-ai

render-imessage-cascade

Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a phone-on-desk plate + 3–5 messages — authentic Apple Messages banners composited in PIL (SF Pro text, green Messages icon, warm translucent-greige fill, soft shadow) spring in one-by-one at the BOTTOM and push the stack UP, a right-aligned Show-less/X pill rides above, the X clears the stack, then a serif end card resolves. FREE assembly (PIL + ffmpeg); the recipe supplies the per-brand plate, notifications, and end-card config and gates the paid plate-clean/music calls to their own capabilities. Use for the imessage-notification-cascade format.

Overview

Publisher	gooseworks-ai
Repository	`goose-skills`
Skill name	`render-imessage-cascade`
Stars	1.2K
Forks	208
Bundled files	5
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.
5 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 Imessage Cascade 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-imessage-cascade

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-imessage-cascade .claude/skills/render-imessage-cascade

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

Use it in TypingMind

Enable Render Imessage Cascade 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 Imessage Cascade 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 Imessage Cascade 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-imessage-cascade

The free, deterministic renderer for the imessage-notification-cascade video ad format — the viral iOS trend where a phone sits on a desk and Apple Messages notifications STACK IN one after another. The signature mechanic is the bottom-up push: each new banner springs in at the bottom (nearest the phone) and shoves every existing one UP a row; the iOS grouped "⌄ Show less / ✕" pill rides above the stack; the ✕ clears the stack; then a serif end card resolves.

This is a DETERMINISTIC composite — no generative video of the UI. Authentic iMessage banners are drawn in PIL and animated in FFmpeg over a Ken-Burns plate, so the notification text + wordmark stay pixel-crisp (a video model would smear type). The template recipe supplies the per-brand plate, notifications, and end_card config and gates the only paid steps — cleaning the plate (→ create-image-fal) and the music bed/pop (→ create-music-elevenlabs) — to their own capabilities. This capability itself makes no paid calls.

Scripts (free)

scripts/build_assets.py — draws the assets from config: nb-1..N.png (authentic banners — green Messages icon, warm translucent-greige fill, soft box-shadow, title/body/NOW/handle), pill.png (right-aligned "⌄ Show less / ✕"), endcard.png (serif CTA + wordmark lockup + url). Fonts are load-bearing: SF Pro (SFNS.ttf) via set_variation_by_name for the banner title/body/NOW/handle (Arial fallback), Times/serif for the end-card CTA. Do NOT swap in Helvetica/Arial as the primary — the banners must read as the real iOS system font.
scripts/compose.py — Ken-Burns push-in on the plate → each banner springs in at the BOTTOM while later arrivals push the stack UP (FFmpeg overlay y expressions) → pill rides above → ✕-clear swipes the stack up + fades → serif end card fades in → optional audio (bed + pop per arrival + a free FFmpeg swoosh on the clear) → encode h264 + aac.
scripts/config.example.json — the shape of the brand config the recipe binds.

Geometry contract (load-bearing — build_assets.py and compose.py MUST share it)

W=1080 H=1920, SIDE=135 → banner width BODY_W=810, BANNER_H=176, PAD=60, row pitch H=214, bottom anchor YB=1200. Icon ~100px at a ~24px left inset; body text starts ~150px from the banner's left edge. Change one, change both.

Craft rules (faithful to the source molecule)

Keep the REAL iMessage UI: green Apple Messages icon, warm TRANSLUCENT greige banner (NOT white, no white bloom), soft dark box-shadow. Do NOT rebrand the banner to the brand's colors — the brand lives ONLY on the handle (bottom-right) + the end card.
SF Pro for all banner text (title Semibold ~38, body Regular ~36, NOW/handle ~25). Never AI-render text.
3–5 notifications (more crowds the top / clips the pill); newest enters at the BOTTOM, so banner 1 is the oldest and ends up on TOP.
✕-clear then end card (a real hand-swipe needs a paid i2v — out of scope here).

Requires

watch (QC the final master). The recipe gates create-image-fal (plate clean) and create-music-elevenlabs (bed/pop) — both paid, proxy-routed, billed to the Ads agent.

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 Imessage Cascade AI skill do?

Why use Render Imessage Cascade on TypingMind?

Because you install it once and use it with any model. Render Imessage Cascade 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 Imessage Cascade 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-imessage-cascade. 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 Imessage Cascade?

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 Imessage Cascade?

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

Is the Render Imessage Cascade 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-imessage-cascade

Scripts (free)

Geometry contract (load-bearing — build_assets.py and compose.py MUST share it)

Craft rules (faithful to the source molecule)

Requires

Bundled files

Frequently asked questions

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