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 v…
Install / Use
npx skills add gooseworks-ai/goose-skills --skill render-mosaic-grid-revealInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OtherSupported Platforms
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Our assessment of render-mosaic-grid-reveal
render-mosaic-grid-reveal scores 83/100 on our quality scale, 222nd of 283 Other skills we index.
Its SKILL.md is 4.5 KB long, split into 5 sections with 1 code example: a solid amount of guidance for an agent.
With 1,222 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 33 days ago, so render-mosaic-grid-reveal is actively maintained.
- Our last check on 2026-10-14 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
render-mosaic-grid-reveal compared with similar skills
All 4 of these similar skills score higher than render-mosaic-grid-reveal; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| render-mosaic-grid-reveal (this skill)by gooseworks-ai | 83 | 1.2k | 33d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 33d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 137.2k | 11d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 137.2k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install render-mosaic-grid-reveal?
- Run
npx skills add gooseworks-ai/goose-skills --skill render-mosaic-grid-reveal. The install tabs above show the steps for each supported agent. - Which AI agents does render-mosaic-grid-reveal work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is render-mosaic-grid-reveal safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is render-mosaic-grid-reveal still maintained?
- The repository was last updated 33 days ago, so render-mosaic-grid-reveal is actively maintained.
Skill content
View source on GitHubname: render-mosaic-grid-reveal description: 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. status: active
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 viapalette.ink. Never AI-render it.wordmark_viewbox,wordmark_widthtune it.palette—bg(page colour; the demo used a warm off-white),accent+accent_deep(brand color),ink,cap.grid—cols/rows(default 3×3),inset(outer margin),gap.tiles— one per cell (length must equalcols*rows):image(real variant still),name(caption),bg(tile colour, fromchoices.tile_look— the demo used a soft pastel echoing each variant),ink(deep caption color).pop_order— scatter order across cells (default corners → center → edges).timing—grid_in0,cadence,pop,hold,clear(seconds).end_card—sub,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 fictional Glazewell Ceramics "RANGE" worked example: nine mug glazes);
the tile image/wordmark paths are brand inputs bound by the orchestrator at remix time.
Its tiles, tile colours, end-card copy and music prompt are the Glazewell demo's answers, not defaults.
Choices
The recipe asks the user these before any paid step; the renderer draws whatever the config says.
range— which 9 products/variants fill the grid →tiles[].image,tiles[].name. Asked of the user; the demo used 9 mug glaze colourways.tile_look— tile backgrounds →tiles[].bg,tiles[].ink,palette.bg. Asked of the user; the demo used a soft pastel per variant.music— the bed's genre/mood →music.prompt(consumed bycreate-music-elevenlabs). Asked of the user; the demo used light upbeat marimba.
Run
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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
