paywall-optimizer
AI-powered paywall optimizasyon. Sektore gore otomatik analiz, A/B test senaryolari, churn prediction sinyalleri, push notification stratejileri, agresif satis teknikleri ve RevenueCat Experiments entegrasyonu. paywall-strategy, revenuecat-patterns ve subscription-pricing skill'lerinin ustune insa eder.
npx skills add vibeeval/vibecosystem --skill paywall-optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Paywall Optimizer (AI Layer) Bu skill, mevcut paywall-strategy, revenuecat-patterns ve subscription-pricing skill'lerinin ustune AI-powered optimizasyon katmani ekler. ## Sektore Gore Otomatik Analiz Pipeline ### Input ``` 1. App kategorisi (orn: "Health & Fitness") 2. Core feature listesi (orn: ["antrenman plani", "kalori takibi", "ilerleme grafigi"]) 3. Mevcut metrikler (varsa): DAU, MAU, trial rate, conversion rate, ARPU, churn 4. Hedef kitle (orn: "25-35 yas, fitness meraklisi, orta gelir") 5. Platform (iOS, Android, both) 6. Rakipler (orn: ["MyFitnessPal", "Nike Training Club"]) ``` ### Process ``` 1. paywall-strategy skill'inden kategori benchmark'ini cek 2. Benchmark vs mevcut metrikleri karsilastir (gap analizi) 3. subscription-pricing skill'inden optimal fiyat araligini hesapla 4. Rakip fiyatlarini ve modellerini karsilastir 5. Sektore ozgu oneri raporu olustur ``` ### Output ``` ANALIZ RAPORU: - Kategori benchmark ozeti - Gap analizi (mevcut vs benchmark) - Onerilen model + fiyatlama - ROI projeksiyonu (3/6/12 ay) ``` --- ## A/B Test Senaryolari ### Hazir Test Seti (6 Senaryo) #### Senaryo 1: Fiyat Testi ``` Hipotez: Daha yuksek fiyat, LTV'yi artirirken conversion'i faz
- Sektore Gore Otomatik Analiz Pipeline
- Input
- Process
- Output
- A/B Test Senaryolari
- Hazir Test Seti (6 Senaryo)
- RevenueCat Experiments Entegrasyonu
- Churn Prediction Sinyalleri
- YUKSEK RISK (Hemen aksiyon gerekli)
- ORTA RISK (Izle + nudge)
- DUSUK RISK (Optimize et)
- Composite Risk Score
- Push Notification Stratejileri
- Trial Lifecycle
What does the paywall-optimizer skill do?
AI-powered paywall optimizasyon. Sektore gore otomatik analiz, A/B test senaryolari, churn prediction sinyalleri, push notification stratejileri, agresif satis teknikleri ve RevenueCat Experiments entegrasyonu. paywall-strategy, revenuecat-patterns ve subscription-pricing skill'lerinin ustune insa eder.
How do I install it?
Run `npx skills add vibeeval/vibecosystem --skill paywall-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From vibeeval/vibecosystem, a repository with 521 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.