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Growth Marketing OS | Mahmoud Omar — open-source AI marketing prompts, Claude skills, agents & growth playbooks (EN + AR)

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MITlicense
2026since
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win-loss-analysisWin/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.Code Review & QualitybattlecardsCreates 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]".Design & Presentationchurn-preventionWhen 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 inContent & Marketingab-testingWhen 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 measTesting & QAprogrammatic-seoWhen 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.SecurityonboardingWhen 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 emaiDesign & Presentation
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