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gooseworks-ai/goose-skills

Erstellt aus einer Konfiguration eine geteilte Bildschirmanzeige für Creator-Werbung — eine vertikale Zusammensetzung aus zwei Zonen, in der eine KI-Creator-Lip-Sync-Aufnahme die unteren ~48 % und ein unbeschnittenes 16:9-Produkt-/Demo-Video die oberen ~52 % belegt.

Was ist goose-skills?

Diese Fertigkeit dient der automatisierten Erstellung von Split-Screen-Creator-Anzeigen, bei denen ein KI-Creator-Video (z. B. Lip-Sync) den unteren Bildschirmbereich (~48 %) und ein unbeschnittenes 16:9-Produkt-/Demovideo den oberen Bereich (~52 %) belegt. Das obere Video wird mit einer abgedunkelten, unscharfen Cover-Scale-Füllung des gleichen Clips hinterlegt (nie schwarze Balken). Zwischen den Zonen wird ein 3px breiter, markenfarbiger Trennbalken eingefügt. Der Creator-Bereich wird passgenau je nach Sprachausgabe-Timing des jeweiligen Szenenabschnitts zugeschnitten. Alle Szenen werden hart aneinandergereiht, wobei die Audiospur aus der aneinandergereihten Creator-Sprachausgabe besteht. Die Fertigkeit unterstützt die Arbeit mit CLI-Tools wie FFmpeg und ist für KI-Agenten wie Claude Code, Cursor und Codex optimiert. Sie nutzt Konfigurationsdateien im JSON- oder YAML-Format und ermöglicht eine reproduzierbare, effiziente und konsistente Anzeigenproduktion ohne manuelle Nachbearbeitung.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add gooseworks-ai/goose-skills
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Dokumentation

Was macht goose-skills?

Erstelle aus einer Konfiguration eine geteilte Bildschirmanzeige für Creator-Werbung — eine vertikale Zusammensetzung aus zwei Zonen, wobei eine bereitgestellte KI-Creator-Lip-Sync-Aufnahme die unteren ~48 % belegt, während echte 16:9-Produkt-/Demo-Clips unbeschnitten in den oberen ~52 % laufen. Jeder obere Clip erhält eine abgedunkelte, unscharfe Cover-Scale-Füllung des gleichen Clips (niemals schwarze Balken), einen 3px breiten markenfarbigen Trennbalken zwischen den Zonen, und der Creator-Ausschnitt wird passgenau je nach Sprachausgabe-Timing der Szene zugeschnitten. Die Szenen werden hart aneinandergereiht, wobei das Audio aus der aneinandergereihten Creator-Sprachausgabe besteht.

Individual skills in this repo

This repo contains 11 individual skills — each has its own dedicated page.

gooseworks-ai/goose-skills

Burned-in captions for a finished vertical video, three kinds. transcribe.py gets word timings from the video's own audio through the GooseWorks proxy (fal Whisper, bills the Ads agent, cents); captions.py burns one to three words at a time with Pillow + ffmpeg (no libass needed), either pinned to a split-screen seam (plate 25% above / 75% below) or at a fixed height, in a plate, outline or one-word serif style, with an optional red hook card; plates.py burns per-beat caption blocks (black, one union silhouette, placed in the emptiest band) for formats with no voice. The last caption (the CTA) holds to the final frame. Use as the last step of any video ad.

gooseworks-ai/goose-skills

Assemble a cartoon / animated / hand-crafted music-video ad from a config — a sung song carries the whole narrative while N per-bar i2v clips (one recurring animated character, one look pack) are each cut to their BAR window from librosa beat-tracking and hard-concatenated on the bar, VEED-whisper white bold-sans captions in the BOTTOM third (Alignment 2, above the logo bug, no pill) burned from the song's word timings re-spelled against the locked lyrics, a persistent brand logo bug held over the body (suppressed on the end card), and closed on a solid-brand-color PIL end card with the song still playing under it — never AI-rendered text. This is the FREE deterministic assembly stage (cut-to-bar + hard concat + logo bug + captions + end card + song mux); the song, character, keyframes, and clips come from create-music-elevenlabs / create-image-fal / create-video-fal. Use for the cartoon-music-video format.

gooseworks-ai/goose-skills

Assemble a cinematic live-action-style music-video ad from a config — an original sung anthem carries the whole narrative while N 35mm-film-look i2v clips are each cut to their lyric window and hard-concatenated on the beat as a 3-act arc, the anthem muxed at loudnorm I=-14, cinematic lower-third serif captions built from the song's OWN word timings (never Whisper) with the hook line landing on the chorus drop, and closed on a brand end card composited from the real asset — never AI-rendered text. This is the FREE deterministic assembly stage (cut-to-window + hard concat + anthem mux + captions + end card); the anthem, keyframes, and clips come from create-music-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the cinematic-music-video format.

gooseworks-ai/goose-skills

Assemble an editorial-motion podcast-clip ad from a config — a real clipped podcast MP3 carries the narrative while N flat limited-palette editorial-illustration keyframes (one look pack) are animated NOT by generative i2v but by DETERMINISTIC ffmpeg ken-burns (zoompan) + hard cuts (no crossfades, which expose geometric drift), each beat snapped to its spoken line, the real audio muxed, Whisper-driven captions burned only mid-sentence, and closed on a PIL brand end card — never AI-rendered text. This is the FREE deterministic assembly stage (ffmpeg ken-burns + hard concat + audio mux + captions + end card); the real audio is clipped from source and the keyframes come from create-image-fal. Use for the editorial-motion-podcast format.

gooseworks-ai/goose-skills

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.

gooseworks-ai/goose-skills

Generate a single 4-15s vertical video clip with ByteDance Seedance 2.0 reference-to-video via fal.ai. Multi-image reference (avatar + product + setting), native lip-synced VO + ambient audio (generate-audio on by default), internal multi-cut handling within one render. Routes through the GooseWorks FAL proxy (bills the Ads agent). The default clip atom for AI-creator UGC ads built on the NB2 + Seedance architecture. Validated on beauty-by-earth/video-01.

gooseworks-ai/goose-skills

Mandatory pre-publish review gate for a UGC video render. Transcribes the finished render's AUDIO with Whisper and word-diffs it against the approved spoken script, then gates set_final_render — blocking a render whose generated audio mis-voices a word (e.g. the approved "human-vetted" spoken as "human witted"), drops an approved phrase, or comes back silent. Runnable, gating counterpart to content-goose's review-transcript-integrity atom. Every ugc-video-formats recipe runs this after render and BEFORE set_final_render.

gooseworks-ai/goose-skills

Render pixel-accurate Apple Notes (iPhone, light mode) screenshot mockups from a JSON note spec. Outputs HTML + PNG at the iPhone 16/15 Pro native 1180×2556. Supports paragraphs, images, checklists, dividers, autocorrect underline, smart quotes, and an optional iOS keyboard chrome overlay used by the parent video-ad molecule.

gooseworks-ai/goose-skills

Extract competitor and customer intelligence from any company's landing page HTML. Discovers tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements, and more. No API keys required.

gooseworks-ai/goose-skills

Find speakers, hosts, and guest profiles at conferences and events on Luma. Two modes - free direct scrape for hosts, or Apify-powered search for full guest profiles with LinkedIn/Twitter/bio.

gooseworks-ai/goose-skills

Find Twitter/X influencers to promote a product or brand. Use when asked to find influencers, discover Twitter accounts for partnerships, identify creators in a niche, or build an influencer outreach list.

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