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Render Mosaic Grid Reveal

OrganizationPopular
gooseworks-ai
render-mosaic-grid-reveal

Render a 'mosaic-grid-reveal' video from a config — a real-DOM FULL-BLEED N×N mosaic of real product tiles that pops in one tile at a time (scatter order, ease-out-back overshoot), the grid clears, then the brand wordmark builds line-by-line followed by a sub-label, tagline, and CTA; frame-stepped via Playwright and encoded with FFmpeg — deterministic assembly, FREE (the music bed comes from create-music-elevenlabs), so the wordmark, tile captions, and CTA stay pixel-crisp. Use for the mosaic-grid-reveal format.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namerender-mosaic-grid-reveal
Stars
1.2K
Forks
208
Bundled files
6
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.

  • 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 Mosaic Grid Reveal 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.
  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-mosaic-grid-reveal .claude/skills/render-mosaic-grid-reveal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Render Mosaic Grid Reveal 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 Mosaic Grid Reveal 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 Mosaic Grid Reveal 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-mosaic-grid-reveal

Render the mosaic-grid-reveal format from a config. The signature of this format is a full-bleed N×N mosaic (default 3×3) of the brand's real product stills that pops in one tile at a time (scatter order, ease-out-back "pop"), building the whole grid; the grid then clears (scale-up + fade) and a clean end card builds line-by-line — the brand's real wordmark, then a small sub-label, then the tagline, then a CTA. Silent by design (a light music bed is muxed separately via create-music-elevenlabs). The hook is RANGE — nine maximally-distinct variants show how much choice the brand offers.

Everything is a real-DOM HTML scene frame-stepped to PNG via Playwright and encoded with FFmpeg, so the wordmark, tile captions, and CTA stay pixel-crisp (a video model would smear them). No generative video, no i2v, no AI-rendered text. This capability is FREE and deterministic — the only paid step of the format (the music bed) is a separate media cap.

Inputs (config.json)

  • width, height, fps — canvas + frame rate (default 1080×1920, 30).
  • wordmark — brand logo SVG (full <svg> or bare <path> markup) or PNG path. Real DOM, recolored via palette.ink. Never AI-render it. wordmark_viewbox, wordmark_width tune it.
  • palettebg (warm off-white), accent + accent_deep (brand color), ink, cap.
  • gridcols/rows (default 3×3), inset (outer margin), gap.
  • tiles — one per cell (length must equal cols*rows): image (real variant still), name (caption), bg (soft pastel echoing the variant), ink (deep caption color).
  • pop_order — scatter order across cells (default corners → center → edges).
  • timinggrid_in0, cadence, pop, hold, clear (seconds).
  • end_cardsub, tagline_top, tagline_bottom (bold), cta, url. Brand's own approved copy only.
  • eyebrow — optional top kicker held during the grid.

scripts/config.example.json is a filled example (the Pair Eyewear "RANGE" worked example); the tile image/wordmark paths are brand inputs bound by the orchestrator at remix time.

Run

bash
python3 scripts/build_html.py --config config.json --out hyperframe.html   # emits scene, writes duration_sec back
python3 scripts/render.py --config config.json --html hyperframe.html --out master-silent.mp4

build_html.py computes the full timeline and writes duration_sec back into the config so render.py (which reads dims/fps/duration from the config) frame-steps window.renderAt(t) at fps and FFmpeg-encodes the silent master. Then mux the create-music-elevenlabs bed: ffmpeg -i master-silent.mp4 -i bed.wav -map 0:v:0 -map 1:a:0 -c:v copy -c:a aac -shortest out.mp4.

Rules

  • FILL the frame — tiles are full-bleed and edge-to-edge, NOT small cards floating in an empty margin. Tiles pop in one at a time (scatter order), never all-at-once or static.
  • Real wordmark + real product stills only. Never AI-render the logo or text.
  • Copy slots are the brand's own approved lines — never invent claims, customers, results, prices, or shipping speed.
  • Pick the 9 most DISTINCT variants (color-wheel spread) — that IS the RANGE hook.

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 Mosaic Grid Reveal AI skill do?

Render a 'mosaic-grid-reveal' video from a config — a real-DOM FULL-BLEED N×N mosaic of real product tiles that pops in one tile at a time (scatter order, ease-out-back overshoot), the grid clears, then the brand wordmark builds line-by-line followed by a sub-label, tagline, and CTA; frame-stepped via Playwright and encoded with FFmpeg — deterministic assembly, FREE (the music bed comes from create-music-elevenlabs), so the wordmark, tile captions, and CTA stay pixel-crisp. Use for the mosaic-grid-reveal format.

Why use Render Mosaic Grid Reveal on TypingMind?

Because you install it once and use it with any model. Render Mosaic Grid Reveal 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 Mosaic Grid Reveal 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-mosaic-grid-reveal. 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 Mosaic Grid Reveal?

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 Mosaic Grid Reveal?

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

Is the Render Mosaic Grid Reveal 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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