القائمة
Two-pass ffmpeg loudnorm. Brings any video or audio file to a target integrated LUFS with true-peak ceiling and LRA cap. Default is -14 LUFS (social).
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Produce a Photo-Grid promo card — a silent, music-optional feed-placement video where a scrolling 2×N tile grid (product photos + short brand video clips + big-type offer tiles + a promo-code tile) animates under a centered wordmark, headline, sub, and outline feature chips. 9:16 or 4:5, ~10s, $0 HTML-hyperframe pipeline (no T2V, no VO). Recreates the Meta "photo-grid mosaic" template (e.g. "Our New Band 2.0 / LAUNCH30"). Validated on Hume Health (Father's Day promo, 2026-06-03). Use when the brand wants a clean editorial feed card that works muted; NOT for kinetic-BG vignette (use create-vignette-ad), UGC, or VO-driven ads.
Remix a published Apple Notes video ad from the Goose Ads library for a new brand — keep the source's note structure and typing pacing, swap in the brand's product, voice, and promo code, get the note approved in-session, then render with create-apple-notes-video-ad and publish the MP4 back to Gooseworks with live stage reporting. The Apple Notes typing-reveal counterpart to remix-imessage-ad-from-sample; this is what the app's Apple Notes format tab calls.
Remix a published ChatGPT video ad from the Goose Ads library for a new brand — keep the source's conversation structure and pacing (the single ask → streamed answer beat), swap in the brand's product as the natural recommendation and the promo code woven into the response, get the conversation approved in-session, then render with create-chatgpt-video-ad and publish the MP4 back to Gooseworks with live stage reporting. The ChatGPT chat-reveal / ask-ChatGPT counterpart to remix-imessage-ad-from-sample; this is what the app's ChatGPT format tab calls.
Remix a published iMessage video ad from the Goose Ads library for a new brand — keep the source's conversation structure and pacing, swap in the brand's product, voice, and promo code, get the thread approved in-session, then render with create-imessage-video-ad and publish the MP4 back to Gooseworks with live stage reporting. The video counterpart to remix-graphic-ad-from-reference; this is what the app's iMessage format tab calls.
Remix a published Photo-Grid promo card from the Goose Ads library for a new brand — keep the source's grid layout, tile rhythm, scroll, and offer structure, swap in the brand's product photos, corpus video clips, wordmark, palette, copy, and promo code, get the card approved in-session, then render with create-photo-grid-ad and publish the MP4 back to Gooseworks with live stage reporting. The photo-grid counterpart to remix-imessage-ad-from-sample; this is what the app's Photo-Grid format tab calls.
mix a music track under a silent video using ffmpeg. normalizes loudness to roughly -14 LUFS, applies a short fade in and out, and trims or loops the music to match video duration. use after a silent video master and a chosen music file are both ready.
| name | normalize-loudness |
| description | Two-pass ffmpeg loudnorm. Brings any video or audio file to a target integrated LUFS with true-peak ceiling and LRA cap. Default is -14 LUFS (social). |
Normalize the loudness of a video or audio file using ffmpeg's two-pass loudnorm filter (EBU R128). Most social platforms target around -14 LUFS integrated with a -1 dB true-peak ceiling and an LRA cap around 11. This atom is the canonical way to hit those targets — replaces ad-hoc alimiter chains in per-ad polish scripts.
Two-pass is required (not single-pass) because the second pass uses the measured statistics from the first to apply linear normalization with no dynamic distortion.
--input <path> — mp4 / mov / wav / mp3 (required)--output <path> — destination file (required)--target-i <lufs> — integrated LUFS (default -14)--target-tp <dbtp> — true-peak ceiling in dBTP (default -1)--target-lra <lu> — loudness range cap (default 11)--platform <name> — preset that overrides the three above. Supported: social (default, -14/-1/11), broadcast (-23/-2/7), podcast (-16/-1/11)ffmpeg and ffprobe are on PATH.ffmpeg -i <input> -af loudnorm=I=<I>:TP=<TP>:LRA=<LRA>:print_format=json -f null - and parse the JSON tail of stderr for input_i, input_tp, input_lra, input_thresh, target_offset.ffmpeg -i <input> -af loudnorm=I=<I>:TP=<TP>:LRA=<LRA>:measured_I=...:measured_TP=...:measured_LRA=...:measured_thresh=...:offset=...:linear=true:print_format=summary -c:v copy <output> (video stream is copied untouched).manifest.json and verification.md alongside the output.<output> — normalized file (video copy + remuxed audio).manifest.json:
{
"input": "...",
"output": "...",
"target": { "I": -14, "TP": -1, "LRA": 11 },
"measured_before": { "I": ..., "TP": ..., "LRA": ..., "thresh": ... },
"measured_after": { "I": ..., "TP": ..., "LRA": ..., "thresh": ... },
"platform": "social",
"status": "ok"
}
verification.md — short pass/fail report: integrated LUFS within ±0.5 of target, TP under ceiling.ffprobe stream md5).loudnorm needs ffmpeg ≥ 3.1.-inf; script must short-circuit and emit status: skipped_silent.scripts/loudnorm.sh \
--input peloton/ads/video-03-ironman-comeback/edits/master-final.mp4 \
--output peloton/ads/video-03-ironman-comeback/edits/master-normalized.mp4 \
--platform social
Consumed by: /polish (audio-loudness branch), auto-refine (audio sub-loop), edit-video (Phase 9 final mix).