Build and run an SEO content engine: audit current state, identify gaps, build keyword architecture, generate content calendar, draft content.
npx gooseworks install --all # then, in Claude Code, Cursor, or Codex: /gooseworks use the seo-content-engine skill
Build a compounding SEO content engine for a client: audit → gap analysis → keyword architecture → content calendar → content drafting → publishing pipeline.
Skill: seo-content-audit (orchestrates site-content-catalog + seo-domain-analyzer + brand-voice-extractor)
Run the full SEO audit to understand:
Skill: aeo-visibility
Test AI answer engine visibility for key queries.
Output: Complete picture of where the client stands in search.
From the audit, identify:
Competitive gaps: Keywords competitors rank for that the client doesn't Funnel gaps: Missing content at TOFU, MOFU, or BOFU stages Topic gaps: Industry/vertical content that doesn't exist Comparison gaps: Missing "vs" pages and "alternatives" pages
Prioritize by: search volume x commercial intent x competitive difficulty.
Organize target keywords by funnel stage:
Map each keyword cluster to a content type (blog post, landing page, guide, comparison page).
Build a prioritized content calendar:
Skill: content-asset-creator (for landing pages, reports, one-pagers) Method: AI-assisted drafting with brand voice matching (from brand-voice-extractor output)
For each content piece:
Design the linking structure:
Render a 'model comparison grid' video from a config — a fal-style "same prompt, N contenders" showcase — a dark real-DOM stage where per beat a monospace prompt fades in centered, docks to a small top strip, then a labeled 2-4 panel grid (static images OR muted video clips, mixable per cell) staggers in and holds for comparison, plus a minimal end card — frame-stepped via Playwright (video cells are frame-seeked deterministically) and encoded with FFmpeg. Deterministic assembly, FREE (cell media comes from create-image-fal / create-video-fal, music from create-music-elevenlabs), text stays pixel-crisp. Use for the model-comparison-grid format.
Render a punchy ~12s vertical (9:16) music-only direct-response OFFER ad as a 4-beat kinetic-typography film — HEADLINE slam → real PRODUCT drop → CLAIM/proof → CTA pill — from one config of copy slots, a real product photo, a brand palette, fonts, bpm, and beat split. DETERMINISTIC + FREE (a bundled Remotion project; springs + interpolate, no AI-gen for visuals). Backgrounds are engine gradient divs off the palette, props are inline SVG, the ONLY composited bitmap is the REAL product photo (objectFit:contain, never stretched), and ALL headline/claim/CTA/URL/wordmark text is typeset in the engine — never AI-rendered (the format's credibility guard). A driver binds the config to Remotion input props, renders the 9:16 master, and derives a 1:1 center-crop with ffmpeg. Two gating checks run before render (claim verbs must match the product's physical format; the claim beat needs an edge-entry mechanism prop). Use for the motion-graphics-offer-ad format.
Assemble a myth-vs-fact kinetic-typography explainer video ad (≈29.5s, 9:16) from N myth/fact pairs + hook / turn / punch copy + palette + a brand end-card PNG + a VO track — a hook, 3 red-strike MYTH cards that flip to teal-check FACT cards (per-line strikethrough that crosses EVERY wrapped line), a "what actually works" turn, an optional proof reveal, a punch line, and a static end card. DETERMINISTIC assembly with ZERO AI-gen visuals — HTML hyperframes rendered frame-exact via Playwright (`window.renderAt(t)`, animation a pure function of beat-local time), Whisper beat-snap to VO word onsets, concat at a uniform fps, karaoke `.ass` captions burned last (suppressed on the proof + end-card beats), and a VO + optional music mix (music −20 dB, `amix normalize=0`, tail fade). FREE (Python + Playwright + ffmpeg); the recipe supplies the copy / palette / end-card / VO and gates the paid VO / music / Whisper calls to their own capabilities. Use for the myth-vs-fact format.