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 chosen backdrop colour, 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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Assemble a premium 3D product-showcase ad from a config: one real product floats centered
on a clean seamless backdrop (colour and lighting chosen per brand) 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.
The recipe asks these before any paid step; this capability only assembles their result. The demo's value is an example, never a default:
backdrop → studio_look.bg (the pad colour build_masters.py uses) + the beat prompts.
Demo: bubblegum pink #F8B8C6.lighting_mood → studio_look.lighting_preset / rim_light + the beat prompts. Demo:
luxe_botanical_warm (warm rim light upper-right, warm bokeh).reveal → reveal_variant + beats[2]. Demo: exploded_view.music → music.prompt (the bed passed to build_masters.py --music). Demo: uplifting
pop-ambient, drop at 7s, 100 BPM.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.
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.--headline-font, Playfair Display by default — + 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. The headline font 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).-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.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
日本語の概要は準備中です。原文の説明を表示しています。
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
日本語の概要は準備中です。原文の説明を表示しています。
The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
日本語の概要は準備中です。原文の説明を表示しています。
Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different they must be (generate 3x so the user can choose), the test frame, the success metric, and safety rules for the user to accept. Decides what launch-meta-ad-campaign then executes, and re-reads the strategy after a deep check to show which assumption changed. Use it after intake and before any creative is generated or any campaign is built.
日本語の概要は準備中です。原文の説明を表示しています。