Paywall Optimization
appeeky/aso-skills
When the user wants to design, test, or optimize their app's paywall — layout, copy, pricing display, trial offers, plan structure, hard vs soft paywall, paywall placement, or paywall A/B tests.
AI-powered paywall optimizasyon. An agent skill from vibeeval/vibecosystem.
Install Paywall Optimizer
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vibeeval/vibecosystem paywall-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/paywall-optimizer .claude/skills/paywall-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .claude/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vibeeval/vibecosystem paywall-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/paywall-optimizer .agents/skills/paywall-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .agents/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vibeeval/vibecosystem paywall-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/paywall-optimizer .cursor/skills/paywall-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .cursor/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vibeeval/vibecosystem.git --path skills/paywall-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vibeeval/vibecosystem paywall-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/paywall-optimizer .gemini/skills/paywall-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .gemini/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vibeeval/vibecosystem paywall-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/paywall-optimizer .github/skills/paywall-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .github/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vibeeval/vibecosystem paywall-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vibeeval/vibecosystem.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/paywall-optimizer .opencode/skills/paywall-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "paywall-optimizer" agent skill from https://github.com/vibeeval/vibecosystem/tree/main/skills/paywall-optimizer into .opencode/skills/paywall-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "paywall-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
paywall-optimizer- GitHub stars
- 531
- Token cost
- ~3.2k tokens
- SKILL.md length
- 391 words
- Files
- 1
- Skills in repo
- 144
- Repo updated
- First seen
- Licence
- MIT
At a glance
AI-powered paywall optimizasyon. An agent skill from vibeeval/vibecosystem.
- Tasks that involve A/B testing
- SKILL.md covers Sektore Gore Otomatik Analiz…, A/B Test Senaryolari, Churn Prediction Sinyalleri and Push Notification Stratejileri, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Referral and retention marketing
What it does
Paywall Optimizer is an agent skill from vibeeval/vibecosystem. 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.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering A/B testing and Referral and retention marketing. It works with RevenueCat. The repository describes itself as: AI software team for Claude Code - 138 agents, 295 skills, 73 hooks. Self-learning, multi-agent swarm, autonomous skill evolution. The licence is MIT.
When your agent uses it
- Tasks that involve A/B testing
- Tasks that involve Referral and retention marketing
Example prompts
- “/paywall-optimizer”
What it can do on your machine
Read from SKILL.md and the folder at commit 3b763b1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Paywall Optimizer loads about 3.2k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 391 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from vibeeval/vibecosystem at commit 3b763b1, republished under its MIT licence (© vibeeval). 391 words, ~3,214 tokens.
Download SKILL.mdSave it as
.claude/skills/paywall-optimizer/SKILL.md (or your agent's skills folder).- name
- paywall-optimizer
- description
- 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.
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 olusturOutput
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 fazla dusurmuyor
Control: $9.99/ay, $49.99/yil
Variant A: $12.99/ay, $69.99/yil
Variant B: $7.99/ay, $39.99/yil
Metrik: Revenue per user (birincil), Trial-to-paid (ikincil)
Sure: Min 4 hafta, ideal 6 hafta
Sample: Min 5,000 kullanici/varyantSenaryo 2: Trial Suresi Testi
Hipotez: Kisa trial aciliyet yaratir, conversion arttirir
Control: 7 gun free trial
Variant A: 3 gun free trial
Variant B: 14 gun free trial
Metrik: Trial-to-paid (birincil), 30-gun retention (ikincil)
Sure: Min 6 hafta (trial suresinin 3 kati)
Sample: Min 3,000 kullanici/varyantSenaryo 3: Copy/Mesaj Testi
Hipotez: Benefit-focused copy, feature-focused'dan daha iyi donusturuyor
Control: "Premium ozelliklerin kilidi acilin" (feature-focused)
Variant A: "Hedeflerinize 2x daha hizli ulasin" (benefit-focused)
Variant B: "50,000+ kullanici Premium'u seciyor" (social proof)
Metrik: Paywall-to-trial (birincil)
Sure: Min 2 hafta
Sample: Min 2,000 kullanici/varyantSenaryo 4: Plan Yapisi Testi
Hipotez: 3 plan decoy effect ile ana planin conversion'ini arttirir
Control: 2 plan (Monthly + Annual)
Variant: 3 plan (Weekly + Monthly + Annual)
Metrik: Annual plan conversion (birincil), Overall revenue (ikincil)
Sure: Min 4 hafta
Sample: Min 4,000 kullanici/varyantSenaryo 5: CTA Testi
Hipotez: Daha spesifik CTA metni conversion arttirir
Control: "Start Free Trial"
Variant A: "Try Premium Free for 7 Days"
Variant B: "Unlock All Features - Free"
Variant C: "Get Started - No Payment Now"
Metrik: CTA click rate (birincil), Trial start rate (ikincil)
Sure: Min 2 hafta
Sample: Min 1,500 kullanici/varyantSenaryo 6: Paywall Placement Testi
Hipotez: Event-triggered paywall onboarding'den daha iyi donusturuyor
Control: Onboarding paywall (kayit sonrasi hemen)
Variant A: Feature-gate (premium feature'a tiklandiginda)
Variant B: Session-count (3. oturum sonrasi)
Variant C: Event-triggered (ilk basari/milestone aninda)
Metrik: Overall conversion (birincil), 60-gun LTV (ikincil)
Sure: Min 6 hafta
Sample: Min 3,000 kullanici/varyantRevenueCat Experiments Entegrasyonu
{
"experiment": {
"name": "pricing_test_2024_q2",
"hypothesis": "Higher annual price increases revenue without significant conversion drop",
"variants": [
{
"id": "control",
"offering_id": "default",
"weight": 50
},
{
"id": "higher_annual",
"offering_id": "premium_annual_test",
"weight": 50
}
],
"success_metrics": [
{ "name": "revenue_per_user", "priority": 1 },
{ "name": "trial_to_paid", "priority": 2 },
{ "name": "ltv_60d", "priority": 3 }
],
"guardrail_metrics": [
{ "name": "install_to_trial", "threshold": "no_decrease_beyond_10pct" }
],
"minimum_duration_days": 28,
"minimum_sample_per_variant": 5000
}
}Churn Prediction Sinyalleri
YUKSEK RISK (Hemen aksiyon gerekli)
| Sinyal | Tespit | Aksiyon |
|---|---|---|
| 7+ gun inaktif | DAU tracking | Push: "Kacirdigin sey..." + feature highlight |
| Billing retry #2+ | RevenueCat BILLING_ISSUE webhook | Push + Email: "Odeme bilgilerini guncelle" |
| App uninstall | Attribution service (Adjust/Branch) | Email: win-back + ozel indirim (3 gun icinde) |
| Support ticket (billing) | Helpdesk integration | Otomatik: grace period uzat + ozel teklif |
| Trial bitmesine 1 gun, hic kullanmamis | Trial aktivasyon tracking | Push: "Trial'in yarin bitiyor! Hala denemedin: X" |
ORTA RISK (Izle + nudge)
| Sinyal | Tespit | Aksiyon |
|---|---|---|
| Haftalik kullanim %50 dustu | Session frequency | In-app: "Bu haftanin yeni ozelligi: X" |
| Premium feature kullanimi azaldi | Feature analytics | Push: "Biliyor muydun? X ozelligi ile..." |
| Push notification kapatti | Notification permission | In-app banner: "Bildirimleri ac, firsatlari kacirma" |
| Trial bitmesine 3 gun, dusuk kullanim | Trial engagement score | Push: "Trial'ini en iyi degerlendirmek icin 3 ipucu" |
| Cancel sayfasini ziyaret etti (iptal etmedi) | Page view tracking | In-app: "Sorun mu var? Yardimci olalim" |
Show full SKILL.md (183 more words)Show less
DUSUK RISK (Optimize et)
| Sinyal | Tespit | Aksiyon |
|---|---|---|
| Monthly 3+ ay, annual'a gecmedi | Subscription type check | In-app: "Annual'a gec, ayda $X tasarruf et" |
| Referral gondermiyor | Referral tracking | In-app: "Arkadasini davet et, 1 ay ucretsiz kazan" |
| Yeni feature'lari denemiyor | Feature adoption | In-app: tooltip/onboarding |
| Tek cihaz kullanimi (multi-device destegine ragmen) | Device tracking | Push: "Diger cihazlarinda da kullan" |
Composite Risk Score
risk_score = (
inactivity_days * 0.30 +
usage_decline_pct * 0.25 +
billing_issue * 0.20 +
trial_engagement * 0.15 +
support_tickets * 0.10
)
YUKSEK: risk_score > 0.7 → Immediate intervention
ORTA: 0.4 < risk_score <= 0.7 → Proactive nudge
DUSUK: risk_score <= 0.4 → Standard optimizationPush Notification Stratejileri
Trial Lifecycle
GUN 0 (Baslangic):
"Hosgeldin! Premium ozelliklerin seni bekliyor. Baslayalim mi?"
[Deep link: Core premium feature]
GUN 1:
"Ilk gununde X kisiyle birlikte basladiniz! En populer ozellik: Y"
[Deep link: Most-used premium feature]
GUN 3:
"Trial'inin yarisini gectin. Hala denemedin: Z ozelligi"
[Deep link: Unused premium feature]
GUN 5 (7 gunluk trial icin):
"Trial'in 2 gun sonra bitiyor. Simdi premium'a gec, %20 indirim"
[Deep link: Paywall with discount]
GUN 6:
"Son gun! Yarin premium ozellikler kapanacak."
[Deep link: Paywall with urgency]
GUN 7 (Trial bitis):
"Trial'in bitti ama sana ozel teklifimiz var: ilk ay %30 indirimli"
[Deep link: Paywall with special offer]Win-Back (Churn Sonrasi)
EXPIRE + 1 GUN:
"Premium ozelliklerin artik aktif degil. Hala geri donebilirsin!"
[Deep link: Paywall]
EXPIRE + 3 GUN:
"Seni ozledik - %30 indirimle geri don"
[Deep link: Paywall with 30% discount]
EXPIRE + 7 GUN:
"Bu hafta eklenen yeni ozellikler: [feature list]"
[Deep link: What's new page + paywall]
EXPIRE + 14 GUN:
"Son sansimiz: 1 ay tamamen ucretsiz"
[Deep link: Paywall with 1 month free]
EXPIRE + 30 GUN:
"Cok sey degisti! Geri gel, yillik plan %50 indirimli"
[Deep link: Paywall with 50% annual discount]
EXPIRE + 90 GUN:
"Ozel teklif: Lifetime erken erisim (sinirli)"
[Deep link: Lifetime deal page]Engagement (Churn Prevention)
INAKTIF + 2 GUN:
"Bugun X icin iyi bir gun! [contextual message]"
[Deep link: Relevant feature]
INAKTIF + 5 GUN:
"Bu hafta 10,000 kisi [action] yapti. Sen de katil!"
[Deep link: Social proof + feature]
INAKTIF + 10 GUN:
"Sana ozel bir sey hazirladik: [surprise feature/content]"
[Deep link: Exclusive content]
BASARI ANINDA (Event-triggered):
"Tebrikler! [milestone] tamamladin. Devam et: [next challenge]"
[Deep link: Next feature/challenge]Notification Kurallari
FREQUENCY CAP:
- Gunluk max: 1 notification
- Haftalik max: 3 notification
- "Do Not Disturb" saatleri: 22:00-08:00 (lokal saat)
OPTIMAL SAATLER:
- B2C: 09:00-10:00, 12:00-13:00, 19:00-20:00
- Games: 19:00-21:00 (aksam bos zamanlar)
- Fitness: 06:00-07:00, 17:00-18:00 (antrenman saatleri)
- Productivity: 09:00-10:00 (is baslangiclari)
PERSONALIZASYON:
- Kullanicinin en aktif oldugu saatte gonder
- En cok kullandigi feature'i referans al
- Ismine hitap et (varsa)"Kapali Carsi Esnafi" Agresif Satis Teknikleri
FOMO (Fear of Missing Out)
UYGULAMALAR:
- "Bu ay 12,000 kisi premium'a gecti" (rakam guncellenmeli)
- "Bu ozellik sadece premium kullanicilar icin"
- "Sinirli sureli: yillik plan %50 indirimli"
- "Early adopter fiyati: ayda sadece $X.99 (sonra $Y.99 olacak)"
ETIK SINIR:
[OK] Gercek rakamlar kullanmak
[OK] Gercek sinirli sureli kampanyalar
[X] Sahte rakamlar uydurmak
[X] Sahte countdown (her seferinde sifirlanan)
[X] "Son 3 kisilik kota" (uretim olmayan kitlik)Scarcity (Kitlik)
UYGULAMALAR:
- Seasonal kampanya: "Yaz indirimi: 72 saat kaldi"
- Ilk N abone ozel fiyat: "Ilk 1000 abone icin $3.99/ay"
- Launch pricing: "Bu ay ozel lansman fiyati"
- Bundle deal: "Bu hafta sonu: yillik + bonus icerik"
ETIK SINIR:
[OK] Gercek kampanya son tarihi
[OK] Gercek kota siniri (ve dolunca kapanmali!)
[X] Her gun sifirlanan "son 24 saat"
[X] Asla dolmayan "sinirli kontenjan"Social Proof
UYGULAMALAR:
- App Store rating badge: "4.8/5 - 50K+ degerlendirme"
- Kullanici sayisi: "2M+ kullanici Premium'u seciyor"
- Testimonial: "Bu uygulama hayatimi degistirdi - Ahmet, Istanbul"
- Expert endorsement: "[Uzman ismi] tarafindan oneriliyor"
- Media mention: "App Store Editoru'nun Secimi"
DIKKAT:
- Gercek review'lari kullan, uydurma YAPMA
- Rakamlar guncel olmali (yilda 1 guncelle minimum)Reciprocity (Karsiliklilik)
UYGULAMALAR:
- Ilk feature-gate'te: "Bu sefer ucretsiz gosterelim" → sonraki seferde gate
- Bonus icerik: "Premium kullanicilara ozel rehber hediye"
- Tasarruf gosterme: "Bu ay $12.50 tasarruf ettin (premium ile)"
- Kisisel rapor: "Haftalik ilerleme raporun hazir" (premium feature)
MANTIK:
Once deger ver → sonra iste. Kullanici "borclu" hisseder.Urgency (Aciliyet)
UYGULAMALAR:
- Trial countdown: "Premium erisimin 2 gun sonra kapaniyor"
- Indirim suresi: "Bu teklif 48 saat gecerli"
- Yeni fiyat duyurusu: "Mevcut fiyattan son sans (Ocak'ta zam geliyor)"
- Limited feature: "Bu icerik 7 gun boyunca ucretsiz"
ETIK SINIR:
[OK] Gercek countdown (trial bitisi)
[OK] Gercek fiyat degisikligi duyurusu
[X] Her giriste sifirlanan countdown
[X] Sahte "zam geliyor" duyurusuAPPLE/GOOGLE COMPLIANCE UYARILARI
APPLE RED FLAGS (REJECT NEDENLERI):
- Toggle paywall (Ocak 2026'dan beri reject)
- Dismiss butonu olmayan veya cok kucuk dismiss butonu
- Sahte scarcity/countdown
- Abonelik sartlarini gizleme
- Dark pattern: "X" butonunu sag ustte kuculme
GOOGLE RED FLAGS:
- Yaniltici abonelik ifadeleri
- Gizli ucretler
- Karmasik iptal sureci
- Kullaniciyi yaniltici UI
GENEL KURAL:
Agresif ol ama DURUST ol. "Kapali carsi esnafi" urunu OVUYOR,
urun hakkinda YALAN SOYLEMEZ. Ikisi arasindaki cizgiyi gec.Metrik Takip Dashboard
Gunluk Takip
| Metrik | Formul | Hedef |
|---|---|---|
| Install-to-trial | trial_starts / installs | >10% |
| Trial-to-paid | conversions / trial_starts | >25% |
| First renewal rate | renewed / first_period_ends | >70% |
| Revenue per install | total_revenue / installs | Kategoriye gore |
| Paywall view-to-trial | trial_starts / paywall_views | >15% |
Haftalik Takip
| Metrik | Formul | Hedef |
|---|---|---|
| MRR | sum(active_subscriptions * price) | Artan trend |
| Churn rate | cancelled / total_active | <5%/ay |
| ARPU | revenue / active_users | Artan trend |
| Trial engagement score | actions_during_trial / total_trialists | >50% |
Aylik Takip
| Metrik | Formul | Hedef |
|---|---|---|
| LTV (30/60/90 gun) | cumulative_revenue_per_cohort | Artan trend |
| Net revenue retention | MRR_end / MRR_start (expansion dahil) | >100% |
| CAC payback period | CAC / monthly_revenue_per_user | <3 ay |
| Win-back conversion | resubscribers / churned_users | >5% |
© vibeeval, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/paywall-optimizer of vibeeval/vibecosystem.
Open the folder on GitHubat commit 3b763b1
Compare with similar skills
Paywall Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Paywall Optimizer this skillvibeeval/vibecosystem | 531 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Paywall Optimizationappeeky/aso-skills | 2.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| 14 Email Marketingminhnv0807/ai-business-skills | 608 | — | ~4.7k | Automated safety check: Pass | MIT | |
| Growth Hackertheneoai/awesome-skills | 183 | — | ~2.6k | Automated safety check: Pass | MIT | |
| App Analyticsappeeky/aso-skills | 2.1k | — | ~1.6k | Automated safety check: Pass | MIT | |
| App Icon Optimizationappeeky/aso-skills | 2.1k | — | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Paywall Optimizer
What does Paywall Optimizer do?
AI-powered paywall optimizasyon. An agent skill from vibeeval/vibecosystem. Paywall Optimizer is an agent skill from vibeeval/vibecosystem. AI-powered paywall optimizasyon.
When should I use Paywall Optimizer?
Paywall Optimizer fits situations like: tasks that involve A/B testing; tasks that involve Referral and retention marketing.
How do I install Paywall Optimizer in Claude Code?
Run `npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a claude-code`. Or copy the skill folder (skills/paywall-optimizer in vibeeval/vibecosystem) into .claude/skills/paywall-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Paywall Optimizer in Codex?
Run `npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a codex`. Or copy the skill folder (skills/paywall-optimizer in vibeeval/vibecosystem) into .agents/skills/paywall-optimizer in your project. Codex loads it when a task matches its description.
Can I use Paywall Optimizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vibeeval/vibecosystem --skill paywall-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paywall-optimizer, .gemini/skills/paywall-optimizer, .github/skills/paywall-optimizer and .opencode/skills/paywall-optimizer in your project.
What does Paywall Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Paywall Optimizer is instructions for the agent only.
Does Paywall Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Paywall Optimizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Paywall Optimizer use?
Paywall Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Paywall Optimizer use?
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Paywall Optimizer?
Skills that share tags, products or a category with Paywall Optimizer: Paywall Optimization (appeeky/aso-skills, 2.1k stars), 14 Email Marketing (minhnv0807/ai-business-skills, 608 stars), Growth Hacker (theneoai/awesome-skills, 183 stars) and App Analytics (appeeky/aso-skills, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Paywall Optimizer?
vibeeval (a GitHub user) maintains it in vibeeval/vibecosystem, which has 531 GitHub stars. The repository holds 144 skills in this directory. The repository was last updated on August 8, 2026.
Source: vibeeval/vibecosystem on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.