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growth-marketing-os
growth-marketing-os contains 17 collected skills from growthack88, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Creates competitive battlecards for sales deal conversations. Produces win themes, landmines to plant, objection handlers, and competitive positioning per competitor. Outputs a structured markdown battlecard with quick-reference sections for live sales calls. Depends on competitor-research for competitive intelligence and consumes product-messaging, win-loss-analysis, and positioning for framing. Feeds into sales-deck, outreach-emails, and demo-script. Triggered by "battlecard", "competitive intel", "win against [competitor]", or "how do we beat [competitor]".
Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation. Produces TAM analysis, firmographic segments, champion and economic buyer personas, use case mapping, customer proof points, and voice-of-customer synthesis with normalized attributes. Requires website URL as primary input. Upstream: recommended company-context. Downstream: feeds positioning, product-messaging, landing-page-copy, content-strategy, and outreach-emails.
Classify product launches into defensible tiers and turn roadmap inputs into a season-of-launch plan that aligns Product, Campaigns, PR/AR, Sales, and customer-facing teams.
Create sharp B2B positioning and messaging from customer truth, segmentation choices, real alternatives, differentiated value, and proof.
Turn customer notes, call transcripts, sales feedback, and research into PMM-ready voice-of-customer inputs: pains, triggers, status quo, JTBD, exact language, objections, proof, and messaging implications.
Win/loss analysis for B2B SaaS. Analyzes sales call transcripts across 6 dimensions (product, messaging, GTM/sales, pricing, competition, customer context) to extract why deals are won, lost, retained, or churned. Produces aggregate patterns with verbatim-quote evidence, frequency counts, confidence levels, and strategic recommendations. Includes process steps, output template, quality checklist, extraction patterns, and a worked 5-transcript example.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls.
When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' 'consumer behavior,' 'anchoring,' 'social proof,' 'scarcity,' 'loss aversion,' 'framing,' or 'nudge.' Use this whenever someone wants to understand or leverage how people think and make decisions in a marketing context. For applying psychology to specific pages, see cro; for pricing tactics, see pricing; for copy framing, see copywriting.
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup. For ongoing email sequences, see emails.
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy.
Direct-response copywriting skill. Use whenever persuasive marketing copy is being written, rewritten, or audited — sales pages, landing pages, email sequences, ad copy, VSL scripts, hooks and headlines. Operates in five modes (write / rewrite / audit / hook / teach), selects the right framework (PAS, AIDA, PASTOR, BAB, 4Ps) for the job, demands the required inputs before drafting, and delivers copy with the strategic reasoning attached.
Full-stack paid media skill. Use whenever the work involves planning, building, optimizing, diagnosing, auditing, or reporting on paid campaigns across Meta, Google (Search/Shopping/PMax/Display/YouTube), TikTok, LinkedIn, Snapchat, or programmatic. Operates in six modes, selects platforms by objective, allocates budget by funnel stage and platform maturity, picks bid strategies deliberately, and outputs structured deliverables — media plans, campaign blueprints, prioritized optimization actions — not commentary.
Marketing benchmark triage skill. Use whenever metrics are shared with questions like "is this good?", "is this normal?", or "should I worry?" — ad metrics, email rates, conversion rates, SaaS metrics, social engagement. Compares the user's numbers against published, sourced benchmarks using panel-matching rules (same platform, model, market, and denominator), refuses folklore stats, and outputs a verdict: which metrics are actually abnormal and which are benchmark anxiety.
COD (cash-on-delivery) e-commerce operations skill. Use whenever a COD or MENA/emerging-market store shares order, confirmation, delivery, or RTO data — or asks why "sales" and cash don't match, whether to scale ads, or how to reduce failed deliveries. Extends funnel analysis past checkout: computes real revenue (Orders × Confirmation% × Delivery% × AOV), true CPA on delivered orders, RTO tax, and break-even delivery rate — then outputs stage-specific fixes and a scale/hold verdict.
Marketing copy localization skill that converts English marketing copy (ads, landing pages, emails, CTAs) into native Egyptian Arabic عامية — or GCC dialect on request — with natural English code-switching for business terms. Use whenever marketing copy needs an Arabic version, an Arabic draft "sounds translated", or a bilingual campaign is being built. Rebuilds meaning per line instead of translating words; never outputs فصحى for performance marketing contexts.
Senior performance analyst skill that answers "why did sales drop (or jump)?" using rigorous funnel decomposition. Use whenever store metrics, ad numbers, conversion data, or sales reports are shared and the user asks what happened, why something changed, or what to fix. Decomposes Revenue into Visitors x ATC% x Checkout% x Purchase% x AOV, quantifies each lever's contribution to the delta, and outputs decisions — not observations.