Render search grid
Skill gooseworks-ai/goose-skills/skills/ads/capabilities/render-search-grid
Render a 'search-grid' (Pinterest search-moodboard) video from a config — a real-DOM page with four continuous beats (masonry search grid + typing hook with counter-drift columns → 3 cards slide in from the right and stack → the top card box-grows to fullscreen then swipe-left ×2 through captioned feature shots → warm end card), frame-stepped via Chromium and encoded with FFmpeg — deterministic assembly, FREE (real brand photos + logo; the optional music bed comes from create-music-elevenlabs), so type/logo/photos stay pixel-crisp. Use for the search-grid format.From its SKILL.md
npx -y skills add gooseworks-ai/goose-skills --skill render-search-gridAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
3.6 KB, 805 tokens by cl100k_base, as published. Nobody here has run it
render-search-grid
Render the 'search-grid' format from a config. It is a deterministic assembler — no
generative image/video, no AI-rendered text. Everything on screen is the brand's REAL
product/lifestyle photography + logo, so the typed hook, feature captions, wordmark, and
photos stay pixel-crisp. The only paid input is an optional music bed, produced upstream
by create-music-elevenlabs and passed to render.py --music.
The format (four beats, one continuous ~18s motion piece, 1080×1920)
- Search (0–5s) — a 3-column masonry grid of the brand's catalog behind a Pinterest search bar; a believable phrase types in letter-by-letter. Side columns drift DOWN, the middle column drifts UP (counter-parallax).
- Cards (5–7s) — 3 room/product cards slide in from the RIGHT and stack over a warm blurred backdrop.
- Features (7–14.5s) — the TOP card physically expands (its box grows from the
stacked rect to full-screen, animating width/height — NOT
transform:scale, which would stretch the image), then swipe-left → swipe-left through the SAME 3 rooms, each now full-bleed with a caption. The 3 cards ARE the 3 features. - End card (14.5–18s) — hero + wordmark + tagline + CTA on a warm background.
Scripts (all free / deterministic)
scripts/build_html.py --config config.json --out index.html— config → a single self-contained HTML page exposingwindow.seek(tMs)(images base64-embedded).scripts/capture.js --html index.html --out frames --fps 30 --duration 18000— headless Chromium frame-stepsseek()to a PNG per frame (auto-discovers a cached Playwright chromium, or pass--exe).scripts/render.py --config config.json [--music bed.m4a] --out master.mp4— orchestrates build → capture → FFmpeg (muxes the bed with-map 0:v:0 -map 1:a:0when--musicis given;$0silent pass without it).scripts/prep_assets.py crop in.jpg out.jpg/logo logo.jpg wordmark.png— the two fixes this format needs almost every time: crop baked-in white L/R margins off heroes, and key the white out of a black-on-white logo JPG to a transparent PNG.
See scripts/config.example.json for the full config shape (a real worked example).
Config contract (bound by the recipe/orchestrator at remix time)
canvas, hook, grid_cols (3 columns × 6 distinct tiles), rooms (exactly 3
{image, caption} — the cards AND the features), stack_bg (blurred warm backdrop),
endcard (hero, wordmark, tagline, cta, bg). Craft rules the renderer assumes the
inputs already honor: real brand assets only; 6 distinct tiles/column so the drift never
repeats; warm (never near-white) backdrops; cropped hero margins; transparent-bg wordmark;
captions/tagline/CTA are the brand's OWN approved copy (no invented claims).
Prereqs
node + playwright-core (or a cached Playwright chromium) and ffmpeg on PATH; python3
with Pillow (for prep_assets.py).
What ships with it: 7 files
25.1 KB alongside SKILL.md, 4 of them executable
scripts/
- build_html.pyruns12.1 KB
- capture.jsruns2.8 KB
- config.example.json4.6 KB
- prep_assets.pyruns2.3 KB
- render.pyruns2.3 KB
tests/
- smoke-test.md762 B
- skill.meta.json313 B