gooseworks-ai/render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at loudnorm I=-16 (music-only, no VO). Ships the runnable build_endcard.py + build_masters.py; the rotation/macro clips are create-video-fal i2v seeded on a create-image-fal styled hero, the reveal is Veo3 i2v, and the bed is create-music-elevenlabs. Use for the 3d-product-showcase format.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-3d-product-showcase
Assemble a premium 3D product-showcase ad from a config: one real product floats centered
on a clean seamless brand-color backdrop and sells itself across four beats — an orbiting hero
rotation, a macro push-in on the surface detail, a physics reveal (exploded_view /
particle_disintegration / liquid_splash, or rotation_only), then a typographic brand
close. This capability is the FREE, deterministic assembly that stitches the delivered
beats into the master; it spends nothing.
scripts/config.example.json is the worked example (DIBS Beauty "Desert Island Duo", ~15s
720×1280 9:16); scripts/build_endcard.py + scripts/build_masters.py are the runnable free
assembly; scripts/PIPELINE.md maps every config block to its source step; scripts/README.md
documents the assembly.
This is the FREE, deterministic assembly stage — it spends nothing. The paid inputs are
separate capabilities: Beats 1 & 2 (hero rotation + macro push-in) are **create-video-fal
image-to-video seeded on a create-image-fal styled hero** — a nano-banana restyle of the
brand's REAL product photo onto the seamless studio set, so the product geometry is real and
never AI-invented; Beat 3 (the physics reveal) is a Veo3 image-to-video seeded on Beat 1's last
frame (also create-video-fal); the one instrumental bed is create-music-elevenlabs. **There
is no Higgsfield / Marketing Studio in this format** — everything paid runs through the
fal-proxy / elevenlabs-proxy so it bills the Ads agent.
Given those beats + the brand wordmark, this capability:
build_endcard.py --bg beat1_last_frame.png --headline "…" --wordmark <wordmark> --out endcard.png— the deterministic Beat-4 hyperframe (Playwright 1080×1920 → ffmpeg-scale to 720×1280).
build_masters.py --config config.json --clips working/clips --endcard endcard.png --music music.mp3 --out master.mp4— trims each beat to its window, normalizes to the brand canvas, hard-concats, mixes the bed.
Re-cuts reuse the existing beats and cost $0.
not add a spoken voiceover or a second bed.
ffmpeg -sseof -0.1 … -frames:v 1)once — it seeds the Veo3 Beat 3 AND backs the Beat 4 end-card hyperframe, so the product +
lighting carry across all four beats and the geometry never AI-drifts.
close is a deterministic hyperframe (Beat 1 last frame + scrim + Playfair headline + the real
wordmark, recolored for contrast). build_endcard.py auto-picks a legible headline color from
the bg luminance and renders 1080×1920 then scales to 720×1280. Playfair is loaded from Google
Fonts; bundle the .ttf if determinism offline matters. If the resolvable Playwright wants an
uninstalled browser build, export PW_CHROME=<installed Chromium binary> (shoot.js honours it).
the i2v model's auto-audio (-an), scale + pad to 720×1280 with the brand bg pad color,
24fps, yuv420p, crf 18 → concat demuxer. No dissolves.
afade in/out +loudnorm I=-16 TP=-1.5 LRA=11, apad + atrimmed to master duration) over the concatenated
beats → a 720×1280 h264+aac master. No paid calls, no keys.
Take gooseworks-ai/render-3d-product-showcase from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.