ai-agents-for-agencies-coaches

Produce high-converting Facebook/Instagram/TikTok ad VIDEOS — motion-graphics spots and talking-head founder ads — by authoring HyperFrames HTML compositions and rendering to MP4. Opinionated layer on top of the HyperFrames framework that bakes in a battle-tested ad structure, the audio pipeline (VO + SFX + silence-cutting), caption sync, and a reverse-template workflow. Use whenever the user asks for a video ad, motion-graphics ad, founder/UGC ad, kinetic-typography spot, animated ad, Reel/Short ad, or "make a video like this ad". For raw HyperFrames framework questions use the `hyperframes` / `hyperframes-cli` skills; this skill is the ad-specific recipe on top of them.

Render high-quality static images (ad creatives, posters, social posts, OG images, blog headers) by writing modern HTML/CSS and screenshotting with headless Chromium. Use whenever the user asks for a Canva-style static graphic, ad image, social post, carousel slide, OG image, hero image, or marketing poster — anything that isn't AI-generated photography. Output rivals Canva because the browser renders the design with full CSS, Tailwind, Google Fonts, gradients, blend modes, SVG, and effects. Triggers: "create an ad image", "make a social post", "design a poster", "OG image", "hero image", "static creative", "carousel slide", "blog header image", "build a graphic".

Establish and enforce per-client brand fidelity using the DESIGN.md standard (google-labs-code/design.md). Use whenever starting work for a client, creating any ad/landing-page/creative, or when brand colors/fonts/spacing are needed. Auto-extracts a client's visual identity into a validated DESIGN.md, keeps a central registry, and feeds the tokens into image-studio (statics), fb-ad-video-studio (video), and landing pages. Triggers: "set up brand for <client>", "make a DESIGN.md", "match the client's brand", "what are their brand colors", "new client onboarding", any creative work that must be on-brand.

Pull every ZIP code within a radius of one or more cities, join current US Census ACS demographics (income, owner-occupancy, single-family vs condo, mobile-home share, population), and score each ZIP Include / Test / Exclude for lead-gen geo-targeting — then output a CSV, an approved-ZIP list, and an interactive choropleth map. Built for home-services financing campaigns (roofing, HVAC, windows, solar) where the core pain is credit denials, so the default disqualifiers screen out subprime, renter-dominated, condo, and mobile-home ZIPs that drive denials and wasted spend. Use whenever the user wants a ZIP list for a market, asks "which ZIPs should we target/exclude", wants to group ZIPs by income/demographics, build a targeting map for Meta/NewsBreak/Google geo, or research a metro's ZIP-level demographics. Triggers: "pull a zip list", "zips around <city> + <N> miles", "group zips by income", "which zips to include/exclude", "zip targeting", "approved zip list", "map these zips", "census data for these zips".