Render a 'brand identity reveal' video from a config — a single poster frame in a real, softly-lit space (real wall, soft-focus plant in the corner, dappled leaf shadow, illuminated poster) whose artwork HARD-CUTS through ~10 on-brand poster mockups (hero product, IG post, hanging banners, sticker sheet, logo lockup, poster, two lifestyle stills, packaging, big icon) then holds on a brand end card. The environment plate is one create-image-fal generation; the mockups are real-DOM HTML frame-stepped via Playwright, perspective-composited into the detected frame quad with the plate's real leaf-shadow multiplied back onto each poster (reads as behind glass), sequenced by FFmpeg. Deterministic assembly, FREE (the plate comes from create-image-fal, the bed from create-music-elevenlabs), music bed only and approved brand copy only. Use for the brand-identity-reveal format.
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Render the 'brand identity reveal' format from a config. The signature is a single fixed poster frame in a REAL, softly-lit space (the illuminated poster-frame look of a shop, café, cinema or metro — the setting and wall are chosen per video): a real wall, a real soft-focus plant in the lower-left corner, dappled leaf shadow. The artwork INSIDE the frame HARD-CUTS (no crossfade) through 11 beats — 10 on-brand poster mockups + a brand END CARD held ~3s. Music bed only, NO voiceover; copy is baked into each mockup, never overlaid as captions.
This capability is the FREE assembly only. The paid parts are separate generic
capabilities the recipe names — create-image-fal (the one-shot environment plate) and
create-music-elevenlabs (the bed). Never re-implement them here.
The calling recipe asks the user these before any paid step; this capability only reads them from config. The worked example (Touchland) values are examples, never defaults.
config.plate.setting (demo: premium boutique interior).config.plate.wall_style (demo: sage subway tile).config.music.direction (demo: upbeat playful pop).create-image-fal, flux-pro ultra, 9:16) — an empty lit
poster frame in a real space, high-res so the camera can be pushed closer by cropping.
Pick a wall color that makes the brand's poster colors POP (complement of the dominant hue).scene.html), one poster per beat, built from the
brand's real assets + approved copy, frame-stepped via Playwright (render_art.py, bare
mode, device_scale_factor 2).measure_frame.py detects the blank poster interior quad;
composite.py perspective-warps each poster into it AND multiplies the plate's real
leaf-shadow/light back onto the poster (so it reads as behind glass) + a glass sheen;
build_video.sh sequences the frames with the music bed.config.json — copy scripts/config.example.json (the Touchland worked example) and edit
(canvas, plate prompt + setting + wall_style from the user's choices, camera crop, per-beat durations, end-card copy). Schema + per-file working-dir
layout are documented in scripts/PIPELINE.md.<mask> if the only source has an occluding element). Approved copy only.CAP=skills/ads/capabilities/render-brand-identity-reveal
RUN=<project>/working # holds scene.html + assets/ + the create-image-fal plate in bg/
python3 $CAP/scripts/recrop.py 0.72 0.13 # camera distance (bigger frac = bigger frame); src = first bg/plate_*.png
python3 $CAP/scripts/measure_frame.py # detect the blank poster interior quad
python3 $CAP/scripts/render_art.py # render each poster standalone (Playwright, dsf 2)
python3 $CAP/scripts/composite.py # warp into frame + shadow multiply + sheen
bash $CAP/scripts/build_video.sh $RUN/concat.txt $RUN/music.mp3 out.mp4 13.05 1.0
Then watch the master (music-only, every poster legible, shadow falls across the art, end
card holds). See scripts/PIPELINE.md for adapting scene.html per brand.
display (a per-state display:flex silently overrides a
display:none toggle and paints one state over all others).recrop.py), don't regenerate.display: rule beat the visibility toggle; use
opacity.evaluate(fn, arg) didn't switch state in a loop → bake the beat index into the
JS string and return the applied state to assert it.还没有评价。欢迎分享你的使用感受。
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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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