Build and run an SEO content engine: audit current state, identify gaps, build keyword architecture, generate content calendar, draft content.
npx gooseworks install --claude # Then in your agent: /gooseworks <prompt> --skill seo-content-engine
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:
Diagnose Meta Ads campaign performance using Meta's actual system mechanics — Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue — and produce structured, testable recommendations that avoid judging segments by average CPA instead of marginal efficiency.
Pre-flight policy check for Meta ads. Takes ad copy plus advertiser context, resolves and fetches the relevant Meta transparency-center policy pages at runtime, and returns a Pass / Fix Required / Block verdict with cited findings and rewrites.
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.