Render a 'photo-grid promo card' video from a config — a real-DOM card with a FIXED header/footer and a CONTINUOUSLY SCROLLING 2-row grid of MIXED tiles (video clips, product/lifestyle stills, big-serif %-OFF, dark promo-code or CTA) + feature chips, frame-stepped via Playwright with real-time <video> playback and encoded with FFmpeg — deterministic assembly, FREE (the clips + music come from create-video-fal + create-music-elevenlabs), text stays pixel-crisp. Use for the photo-grid-promo-card format.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Render the 'photo-grid promo card' format from a config. The signature of this format is a
continuously scrolling 2-row grid (NOT a static card) under a fixed header (brand
wordmark + big headline + sub) and fixed feature chips. The grid-viewport scrolls left
across the whole ~10s, edge-faded with a CSS mask, and its tiles are mixed media:
video clips playing inside tiles, band-product/photo stills, big-serif pct/off
type tiles, and a dark code (promo code) or cta tile.
The renderer itself is FREE/deterministic (Playwright frame-step + FFmpeg). The paid inputs
are separate capabilities: the tile clips come from create-video-fal (i2v of the
product heroes, or clips extracted from the brand's own ad corpus) and the music from
create-music-elevenlabs. Text (wordmark, %, code) is real DOM — never AI-rendered.
build_card.py --config config.json --out hyperframe.html ; render.py --config config.json --html hyperframe.html --out master-silent.mp4 — 1080x1920, scrolling grid, deterministic, $0.
Clip tiles are driven by FRAME-SWAP, not <video>: render.py pre-extracts each clip to
PNG frames with ffmpeg, preloads them, and swaps each <img class="vidframe">'s src per
output frame. This is because Playwright's bundled Chromium can't decode <video> H.264
over file:// (open-source build, no proprietary codecs) — it hangs on canplay. Letting
ffmpeg decode makes it codec-independent AND deterministic. Provide clips longer than the
master (or the swap just loops them); a subtle setpts-slow reads as cinematic.
cols), NOT total tiles; the grid fills row-major.palette is a brand fact — pass the brand kit's colors; build_card.py only falls back to neutral
greys. The occasion copy, clip moments and music feel are the recipe's user choices, never defaulted.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
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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.
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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.
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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.
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Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).
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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.
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