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GTM-Engineering-Command-Center
GTM-Engineering-Command-Center contient 17 skills collectées depuis DojoCodingLabs, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Email marketing automation — drip sequences, deliverability, template patterns, provider APIs (Resend, SendGrid, Postmark)
Funnel diagnostics engine — bottleneck detection, cross-data correlation, AARRR benchmarks by vertical
High-Velocity Advertising (HVA) — the discipline for creative discovery at machine speed. CLEAR decision rule, the five-layer Stack, the Read Ladder, the two-clocks asymmetry, Benjamini-Hochberg correction, the Vault moat, and the Fit Boundary. The spec behind /hva, /hva-forge, /hva-lint, /hva-review, /hva-vault and the hva-desk agent.
Direct response copywriting framework for paid ads — Hormozi offers, PAS, AIDA, variation generation, LATAM hooks
Synthetic Demand Validation (SDV) — predict purchase intent, price tolerance, and objections for ad creatives, offers, and landing copy by eliciting free-text reactions from a synthetic persona panel and mapping them to Likert distributions. Comparative ranking is the headline signal. Use for "will this convert", "which variant wins", "is $X the right price", "pre-test this creative/offer/copy before spend".
Cross-channel GTM orchestration — channel sequencing, attribution models, retargeting chains, multi-touch journeys
Google Ads expertise — read/measure via the google-ads-open CLI + REST :mutate deploy, signal-first architecture (Hagakure, brand isolation, intent ladder, 5-pillar budget), Performance Max control + Moran feeder, Smart Bidding migration ladder, Enhanced Conversions + Consent Mode v2 + GCLID-to-CRM, broad-match-era keywords + n-gram mining, AI Max for Search, RSA/YouTube creative, policy/reinstatement. Ethical scores (whitehat/grayhat/blackhat 1-10) from the Google Ads Atlas 2026.
GTM Creativity Atlas 2026 — 130+ documented tactics across 15 sections, ethical ratings, tool directory. The full knowledge base for autonomous GTM engineering.
Meta Ads expertise — official `meta ads` CLI (April 2026), campaign structure, Advantage+ Creative, DCO via plural flags, targeting, pixel/CAPI, Graph API patterns for advanced fallbacks
SEO engineering — technical SEO, content strategy, schema markup (JSON-LD), GEO optimization for AI citations
Campaign optimization methodology — budget allocation, creative testing, scaling playbook, week-by-week ops
Neural pre-testing with Meta Tribe v2 — brain response prediction for ad creatives, scoring algorithm, ROI mapping, and interpretation guide
Browser-based QA and autonomous verification — Playwright, Chrome DevTools MCP, Computer Use for visual testing, pixel verification, funnel walkthroughs, and overcoming web UI blockers
Landing page conversion patterns — hero layouts, social proof, CTA optimization, design system integration
Stack detection engine — provider fingerprints, framework detection, integration mapping for GTM capability assessment
Stripe revenue intelligence — MRR tracking, cohort analysis, LTV calculation, churn diagnostics from Stripe API
PostHog API expertise for GTM dashboards — REST API, HogQL, funnels, cohorts, UTM attribution