Render Apple Notes Chat logo

Render Apple Notes Chat

OrganizationPopular
gooseworks-ai
render-apple-notes-chat

Assemble an Apple Notes list video ad from a note + end-card JSON — a frame-accurate fake iPhone screen recording of a short list being typed into Apple Notes (character by character, key pops, blinking caret, the note scrolling up as it fills) crossfaded into a checklist end card (the note's picks as ticked rows, real product photos, logo, CTA, in the brand's colours and fonts), with an optional music bed. FREE assembly (Playwright + ffmpeg); the recipe supplies the per-brand note + end card and gates the paid music call to its own capability. The Apple Notes sibling of render-imessage-chat and render-chatgpt-chat. Use for the apple-notes format.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerender-apple-notes-chat
Stars
1.2K
Forks
216
Bundled files
12
LicenseMIT
Links
  • 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.

  • 12 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 Apple Notes Chat AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-apple-notes-chat
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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-apple-notes-chat .claude/skills/render-apple-notes-chat
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Apple Notes Chat 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 Apple Notes Chat 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 Apple Notes Chat 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.

Superseded: the video kit now does this with the phone-chat part, version 1.2.0, in the parts folder of this repository. Every phone-chat style is a style file that draws the same screen frame by frame from the plan's scenes, with the original sounds, in the kit's browser. This atom stays, unchanged in behaviour, for skills outside the kit until they move; its scripts still run.

render-apple-notes-chat

The free renderer for the apple-notes video ad format: someone types a short, honest list into Apple Notes ("my chai cheat sheet", "chai for every mood") and every line points to a real product. It ends on a checklist end card with the products and the CTA. Deterministic Playwright + ffmpeg; no generative video of the UI, so every typed character stays pixel-crisp.

Siblings: render-imessage-chat (a peer's reply is the punchline) and render-chatgpt-chat (an AI answer is the punchline). Reach for this one when the creative is a list someone keeps for themselves.

Choices

The recipe asks these before any paid step; this renderer only draws what the config says.

  • list_angle — what the list is (a "which one should I get" cheat sheet, one pick per personality, one per mood or moment, a routine, a gift guide). Sets note.title, note.lines and end_card.head1/head2.
  • voice — how the writer types (lowercase and casual, tidy, deadpan). Sets the wording and capitalisation of note.lines.
  • clock — the time on the status bar (a 2 AM list reads differently from a 9 AM one). Sets note.status_bar.time.
  • music — the bed passed to stitch.sh --music, or none (silent).

Brand facts (logo, colours, fonts, product photos, CTA, claims) come from the brand kit.

What it renders

  1. The note (record-notes.js) — one PNG per visual state, each held for its own duration, concatenated into a 1080×1920 30fps MP4:
    • the note opens on its title with a blinking caret and the keyboard up;
    • each line types character by character at type_seconds, with a key pop on every letter, a darker space/return key, and a human rhythm (slower after spaces and punctuation);
    • between lines: return key, then pre_pause_seconds of blinking "thinking";
    • the note eases up so the caret never goes under the keyboard;
    • it ends on post_hold_seconds of the finished list.
  2. The end card (render-end-card.js) — a paper card slides and tilts in over the brand colour; the heading has a hand-drawn underline; each row's check draws in turn. Real product cut-outs sit above the rows; the logo (or a wordmark) and CTA pill sit below.
  3. The master (stitch.sh) — ~0.3 s crossfade into the end card, music faded in and out and normalised to −14 LUFS (peaks ≤ −1.5 dBFS). No music → silent master.

Run

bash
cd scripts && npm install            # once — installs Playwright
npx playwright install chromium      # once
node record-notes.js    --config config.json --out-dir <work> --still-only   # free review stills
node record-notes.js    --config config.json --out-dir <work>                # → notes.mp4
node render-end-card.js --config config.json --out-dir <work>                # → endcard.png + endcard.mp4
bash stitch.sh --notes <work>/notes.mp4 --end <work>/endcard.mp4 \
     --out <work>/master.mp4 [--music <work>/music-bed.mp3]

--still-only writes note-hook.png (the opening frame) and note-still.png (the finished list) for the review, without recording the video.

Config

See scripts/config.example.json. Two blocks:

BlockFields
notetitle, lines[] (text, type_seconds, pre_pause_seconds), post_hold_seconds, status_bar (time, battery_pct), keyboard_state
end_cardhead1, head2, underline (a word in head2), rows[] (label, value; max 4), products[] (src, h = height %, wide), logo (file) or wordmark, cta, fine_print, theme (bg, bg2, paper, ink, accent, label), fonts (heading, label — Google Fonts family names), seconds

Image paths are resolved relative to the config file. Pacing that reads well: ~1.6–2.8 s per line (about 18 characters a second), 1.0 s before the first line, 0.55 s between lines, 0.9 s before the last line.

Contract

  • FREE: Playwright frame capture + ffmpeg. No model draws text: the note, the end-card copy and the logo are real HTML and real files.
  • record-notes.js refuses a line with an em or en dash (people don't type them in Notes) or over 80 characters.
  • render-end-card.js refuses an end card with no rows or no logo/wordmark, and fails if the chosen fonts don't load.
  • The Apple Notes chat body is the bundled create-apple-notes-mockup generator (scripts/mockup/), so this runs standalone with no sibling fetch.
  • Requires ffmpeg/ffprobe on PATH, Node 18+, and Playwright Chromium.

Gaps

  • The phone UI uses the system font stack (-apple-system, SF Pro). It's exact on macOS; on Linux/Windows it falls back to the nearest sans.
  • No typing sound effects: Notes is silent, and the chai test ads shipped with music only.
  • Product photos must be clean cut-outs (transparent PNG). The recipe decides what to do when a product has none; this renderer only places what it's given.

Self-QC (always /watch the master)

  • The caret never sits under the keyboard; the note scrolls smoothly, never jumps.
  • Every line is fully typed before the next return; no text is cut off.
  • The end card: every check draws, nothing overlaps the logo or CTA, fonts are the brand's (not a fallback), the pad under the card matches theme.bg.
  • Audio (if any) fades in and out; no clipping.

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 Apple Notes Chat AI skill do?

Assemble an Apple Notes list video ad from a note + end-card JSON — a frame-accurate fake iPhone screen recording of a short list being typed into Apple Notes (character by character, key pops, blinking caret, the note scrolling up as it fills) crossfaded into a checklist end card (the note's picks as ticked rows, real product photos, logo, CTA, in the brand's colours and fonts), with an optional music bed. FREE assembly (Playwright + ffmpeg); the recipe supplies the per-brand note + end card and gates the paid music call to its own capability. The Apple Notes sibling of render-imessage-cha...

Why use Render Apple Notes Chat on TypingMind?

Because you install it once and use it with any model. Render Apple Notes Chat 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 Apple Notes Chat 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-apple-notes-chat. 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 Apple Notes Chat?

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 Apple Notes Chat?

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

Is the Render Apple Notes Chat 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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