gooseworks-ai

Generate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports gpt-image-1 (default, fixed sizes — the FAL fallback for Higgsfield's `gpt_image_2`) and gpt-image-2 (`openai/gpt-image-2`, custom output sizes up to 3840px). Routes to text-to-image or the edit variant depending on whether a reference image is provided. Use for photoreal character anchors, scene keyframes, and designed sheets (e.g. storyboards) where precise layout and legible text matter.

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.

Assemble a cosmic-mythology-voiceover reel from a config — a warm spoken voiceover carries the whole narrative while N curated cosmic stills are weighted beat-synced across the delivered VO duration (cut_dur = VO_dur times weight over the weight sum, so emotional beats hold longer), Ken-Burns-zoomed per still (scale 2x, center crop, zoompan, fade-in first and fade-out last), ffmpeg-concatenated, the VO composited under the picture (libx264 crf18 plus aac), the ONE on-screen hook line faded on over the open with a drawtext alpha window, and Whisper/VEED captions burned along the bottom — never in-world text on a still. This is the FREE deterministic assembly stage (weighted sequence plus Ken-Burns plus concat plus VO composite plus hook overlay plus caption burn); the VO and the stills come from create-vo-elevenlabs and create-image-fal. Use for the cosmic-mythology-voiceover format.

Assemble a creator picture-in-picture product-listicle ad from a config — the creator stays FULL-FRAME the whole beat (voice plus lips generated together per beat, no separate VO, no cut to a full-frame product shot), and on each product beat three persistent overlays ride on top for the WHOLE beat — a title pill top-center, the DEMO in a rounded PiP window top-right (the brand's real UGC clip MUTED, or for a no-UGC brand the product's own autocropped UI still / screen-recording sized to fill the window), and a bottom product card (rounded thumbnail plus 'N · CATEGORY' small-caps plus product NAME in a serif face). Hook plus CTA beats are the creator full-frame with the title pill only. Assembly builds ONE full-1080x1920 transparent overlay PNG per beat, overlays it on the creator clip (cover-scaled to 1080x1920) for the whole beat keeping the native audio, concats all beats, then burns captions LAST as timed PIL PNG overlays (this ffmpeg has no libass) timed deterministically from the known per-beat script.

Assemble a wordless macro-tabletop food-product sizzle ad from a config — normalize fps and SAR across ~4 photorealistic macro clips (hands tearing, flat lay, bite, box hero), concat them, apply a global anti-AI grain pass (eq plus hqdn3d plus noise), composite the audio (a non-diegetic acoustic music bed plus a couple of short diegetic SFX like a snap and a tear placed at measured cue points, loudnorm), composite a STATIC end card entirely in PIL (real logo PNG plus real product PNG plus a serif heritage headline plus a CTA — never AI-rendered text), and burn optional serif stat-callout pills at beats. This is the FREE deterministic assembly stage (normalized concat plus grain plus music and SFX mix plus PIL end card plus callouts); the macro keyframes, i2v clips, and music bed come from create-image-fal, create-video-fal, and create-music-elevenlabs. Use for the food-product-sizzle format.

Assemble a split-screen creator ad from a config — a two-zone vertical composite where a supplied AI-creator lip-sync take fills the BOTTOM ~48% while real 16:9 product/demo clips run uncropped in the TOP ~52%, each top clip contain-fit with a darkened blurred cover-scale fill of the same clip (never black bars), a 3px brand-color divider between the zones, the creator slice cover-fit per the per-scene VO timing, scenes hard-concatenated with the body audio being the concatenated creator VO slices, an end card held on the last sharp frame ~3s, then the ASSEMBLED cut transcribed with local Whisper (not the raw VO — concat drops inter-scene silence) and word-level captions burned in the chosen style. This is the FREE deterministic assembly + caption stage (two-zone composite + blurred fill + divider + hard-concat + end card + captions); the VO comes from create-vo-elevenlabs, the anchor from create-image-gpt-image-fal, and the whole-VO lip-sync from a paid VEED Fabric 1.0 take (a no-atom upstream input). Use fo

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.

Assemble a multi-scene GRWM beauty-demo ad from a config — a locked-identity creator applies ~5 products step by step while a SEPARATE ElevenLabs voiceover narrates and every scene cut is snapped to the VO's product-name word-starts (Whisper word-level timestamps), then ~5 Playwright product overlay cards (real PDP-verified taglines) are composited onto the master each on its product-NAME word-start, the SEPARATE VO is mixed on top of a ducked music bed at loudnorm I=-14, clean-white 3-words/cue captions are burned, and the video closes on a flat-lay end card. This is the FREE deterministic assembly stage (re-cut to the VO word-starts, hard-concat, Playwright card render + card composite, VO plus music mix, caption burn, flat-lay end card); the VO, scene clips, product cutouts, and music come from create-music-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the glassy-matte-grwm format.

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.

Burn 2–3-word, beat-synced lyric captions into a music-video ad. Reads word-level timestamps (ElevenLabs music metadata or Whisper transcript of the rendered song), chunks lyrics into 1–3 word bursts, emphasizes operator-tagged accent words, and produces an ASS overlay plus a timeline preview strip.

create product, avatar, b-roll, or stop-motion stills using nano banana style prompts.

Search LinkedIn posts by keywords using Crustdata API directly, deduplicate and sort by engagement. Outputs to CSV or JSON. Use when researching LinkedIn content around specific topics.

Crawl a website's sitemap and blog index to build a complete content inventory. Lists every page with URL, title, publish date, content type, and topic cluster. Groups content by category and topic. Optionally deep-reads top N pages for quality analysis and funnel stage tagging. Use before SEO audits, content gap analysis, or brand voice extraction.

Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle bank with proof quotes and recommended ad formats per angle.

Scrape competitor ads from Meta and Google ad libraries, cluster by hook/angle/format, and surface new creative directions your team hasn't tested. Chains meta-ad-scraper and google-ad-scraper. Use when a marketing team wants to understand the competitive ad landscape before launching a campaign, or wants fresh creative inspiration from what's already working in the market.

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.

Research a specific competitor across their website, reviews, ads, social presence, and pricing — then produce a structured sales battlecard with positioning traps, objection handlers, landmine questions, and win/loss themes. Chains web research, review mining, and ad intelligence. Use when sales needs competitive ammo or when entering a new market with established incumbents.

Comprehensive GTM analysis of any target company. Researches what a company is currently doing across all go-to-market dimensions — content/blog, founder LinkedIn activity, SEO/traffic, hiring signals, social/community presence, customer acquisition channels, podcast appearances, review sites, competitive positioning, and partnerships. Produces a structured report identifying what's working, what's missing, and where white space exists for new strategies. Use before designing GTM strategies for a client or prospect.

Living competitive strategy system. Maintains persistent competitor profiles with timeline tracking of positioning, messaging, features, and pricing changes. Analyzes competitors' social content for what's working. Compares against your own positioning and recommends messaging, pricing, and strategy adjustments. Consumes competitor-intel raw data but focuses on strategic analysis, not data collection. Tool-agnostic — works with any data source and stores profiles as local files.

GooseWorks video ads — remix a video ad template (iMessage chat-reveal, more coming) into a branded video ad for the user's product. Renders LOCALLY on the user's machine (Playwright + ffmpeg + GooseWorks media proxies) and saves the finished MP4 back to the project over MCP. Use when the user says "make the video for project <id>", references a video ad project or template, or asks to remix a video ad. Unlike goose-ads (static images, generated server-side), video renders locally and reports progress + the result back through the gooseworks MCP tools.

GooseWorks data toolkit. Search and scrape Twitter/X, Reddit, LinkedIn, websites, and the web. Find people, emails, and company info. Enrich contacts and companies. GTM tasks: lead generation, prospect research, ICP identification, competitor analysis, outbound list building. LinkedIn scraping: extract post engagers, commenters, profile data, and job postings. Reach for it when you need data at scale, sources behind auth, or a specific provider — not as a replacement for your built-in web search/fetch on quick, one-off lookups.

GooseWorks ads skill — create, edit, AND analyze ad creative. Remix a static (image) ad template into a branded ad for the user's product, edit/re-roll an existing creative, research a brand for ads, OR analyze ad performance (Meta/Google campaign diagnostics, creative fatigue, CAC & lead quality, competitor ad intelligence, ad angles & hooks). Use when the user says "remix this ad", references a static ad template id/slug, asks to "make an ad", "edit this ad", "research my brand", or asks to analyze/diagnose ad campaigns. Generation runs through the GooseWorks backend's single cloud workflow (the same one the ads app uses) — credits are reserved and billed server-side. Analytics recipes are fetched from goose-skills on demand.

Produce a 9:16 social-native ad that recreates an iMessage conversation reveal — bubbles pop in over time, composer types char-by-char, real Apple iMessage SFX hit on every send/receive, music bed underneath, brand end card with a FREEPACK-style CTA code. One continuous Playwright recording (no scene-cuts/glitches), assembled to a master MP4 plus 9:16 / 1×1 export variants.

Make a 9:16 ~30–45s animated explainer ad in bright Pixar/Disney 3D where a personified villain (the problem — eczema, stress, dullness, fees) narrates the spot in a single character voice, including their own defeat by the product. Use when the user wants a paid-social ad that teaches a mechanism through cartoon personification, has one ownable claim to anchor on, and has a real product photo for the end card. This skill walks the user through an 8-phase pipeline (intake → character anchors → VO casting → keyframes → scene clips → end card → music → compose), uses FAL (nano-banana for stills, Seedance Pro for i2v) and ElevenLabs (eleven_v3 TTS + music API), and produces a captioned, mixed master mp4. Validated on two real client runs — costs ~$15–25 in API spend per cut, ~2 hours wall time including human review gates.