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Get Started Free →Icerik pazarlama ve SEO odakli yazi uretimi. AI slop temizleme (30+ pattern), icerik kalite skorlama (5 boyut), watermark temizleme, copywriting formulleri (AIDA, PAS, BAB), programmatic SEO ve icerik stratejisi.
.claude/skills/content-marketing/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | — | — |
| case-16 | ✗→✓ | ▲ Improved | — | — |
| case-07 | ✗→✓ | ▲ Improved | — | — |
| case-18 | ✗→✓ | ▲ Improved | — | — |
| case-06 | ✗→✓ | ▲ Improved | — | — |
AI destekli icerik uretimi icin kalite kontrol, SEO optimizasyonu ve pazarlama psikolojisi.
AI tarafindan yazildigini ele veren kaliplari tespit et ve temizle.
TESPIT ET VE SIL:
- "In today's digital landscape..."
- "In the ever-evolving world of..."
- "Let's dive in..."
- "Let's dive deep into..."
- "In this comprehensive guide..."
- "Welcome to our deep dive..."
- "Are you ready to discover..."
- "Have you ever wondered..."
- "In an era where..."
- "The landscape of X is rapidly changing..."YUKSEK RISK (hemen degistir):
- "leverage" → "use" veya "apply"
- "utilize" → "use"
- "delve" → "explore" veya "look at"
- "tapestry" → SIL veya yeniden yaz
- "paradigm shift" → "change" veya "new approach"
- "synergy" → SIL
- "holistic" → "complete" veya "full"
- "robust" → "strong" veya "reliable"
- "seamless" → "smooth" veya "easy"
- "cutting-edge" → "modern" veya "new"
- "game-changer" → spesifik etkiyi yaz
- "revolutionize" → ne degistigini yaz
- "empower" → ne yaptigini yaz
- "streamline" → nasil basitlestirdigini yaz
ORTA RISK (context'e gore):
- "It's worth noting that..." → direkt soyle
- "It's important to understand..." → direkt soyle
- "Interestingly enough..." → SIL
- "As we all know..." → SIL
- "At the end of the day..." → SIL
- "Moving forward..." → SIL
- "That being said..." → SIL
- "Without further ado..." → SILTESPIT ET:
- Her paragraf tam 3 cumle (AI pattern)
- Her baslik soru formunda (AI pattern)
- "First... Second... Third..." listeleme (dogal degil)
- Her bolum ayni uzunlukta (insan boyle yazmaz)
- Emoji arasinda icerik (LinkedIn AI slop)bash# AI slop tarama script'i grep -inE "(let's dive|in today's|ever-evolving|comprehensive guide|paradigm shift|leverage|utilize|delve|tapestry|synergy|holistic|robust|seamless|cutting-edge|game-changer|revolutionize|empower|streamline)" "$1" | while read line; do echo "SLOP TESPIT: $line" done
Her icerik parcasini 5 boyutta skorla. Toplam 100 puan, gecme esigi 70.
| Boyut | Agirlik | Olcum | |-------|---------|-------| | Insanilik | %30 | AI slop pattern sayisi (az = iyi), kisisel ton, gercek ornekler | | Spesifiklik | %25 | Somut rakamlar, gercek isimler, detayli ornekler (belirsiz = dusuk skor) | | Yapi Dengesi | %20 | Paragraf uzunlugu varyasyonu, baslik cesitliligi, liste/metin dengesi | | SEO | %15 | Keyword yogunlugu (%1-3), baslik optimizasyonu, meta description, internal link | | Okunabilirlik | %10 | Cumle uzunlugu varyasyonu, aktif dil, gereksiz kelime orani |
Insanilik = 30 - (slop_pattern_sayisi * 3) // max 30
Spesifiklik = somut_ornek_sayisi * 5 // max 25
Yapi = paragraf_varyasyon_skoru // max 20
SEO = keyword_skor + meta_skor + link_skor // max 15
Okunabilirlik = cumle_varyasyon + aktif_oran // max 10
TOPLAM = Insanilik + Spesifiklik + Yapi + SEO + Okunabilirlik
70+ = YAYINLA
50-69 = REVIZE ET (otomatik, max 2 deneme)
<50 = YENIDEN YAZAI uretimi metinlerde gorunmeyen Unicode karakterler olabilir:
bash# Gorunmeyen watermark'lari temizle sed -i '' 's/\xe2\x80\x8b//g' "$1" # Zero-width space (U+200B) sed -i '' 's/\xe2\x80\x8c//g' "$1" # Zero-width non-joiner (U+200C) sed -i '' 's/\xe2\x80\x8d//g' "$1" # Zero-width joiner (U+200D) sed -i '' 's/\xef\xbb\xbf//g' "$1" # BOM (U+FEFF) sed -i '' 's/\xc2\xad//g' "$1" # Soft hyphen (U+00AD) # Em dash asiri kullanimi (AI belirtisi) # 3+ em dash varsa 1'e dusur sed -i '' 's/—/--/g' "$1" # em dash -> double hyphen
ATTENTION: Dikkat cekici baslik veya istatistik
"Kullanicilarin %73'u ilk 3 saniyede karar veriyor"
INTEREST: Problemi detaylandir, empati kur
"Her gun saatlerce icerik yazip sonuc alamiyorsun"
DESIRE: Cozumun faydasini goster
"Bu framework ile 30 dakikada SEO-optimized icerik uret"
ACTION: Net CTA
"Simdi dene -- ilk 7 gun ucretsiz"PROBLEM: Sorunu tanimla
"Blog'un organik trafik almiyor"
AGITATE: Sorunun etkilerini buyut
"Her gun rakiplerin senden once siralamalara giriyor.
Her gecen gun daha fazla potansiyel musteri kaybediyorsun."
SOLVE: Cozumu sun
"Keyword research + content cluster stratejisi ile
3 ayda organik trafigi 5x artir"BEFORE: Mevcut durum
"Haftalik 2 blog yazisi, 500 organik ziyaretci"
AFTER: Hedef durum
"Haftalik 5 optimized yazi, 5000 organik ziyaretci"
BRIDGE: Nasil ulasacaksin
"Content cluster + pillar page stratejisi"[ ] Keyword research yapildi (ana + 5-10 long-tail)
[ ] Search intent belirlendi (informational/transactional/navigational)
[ ] Rakip analizi yapildi (ilk 5 sonuc incelendi)
[ ] Content outline olusturuldu (H2/H3 yapisi)
[ ] Internal link firsatlari belirlendi[ ] Baslik keyword iceriyor (ilk 60 karakter)
[ ] Meta description yazildi (155 karakter, CTA iceriyor)
[ ] H1 tek ve keyword iceriyor
[ ] H2'ler keyword varyasyonlari iceriyor
[ ] Ilk 100 kelimede ana keyword var
[ ] Keyword yogunlugu %1-3 arasi
[ ] Internal link'ler eklendi (min 3)
[ ] External link'ler eklendi (otorite kaynaklara, min 2)
[ ] Gorseller alt text iceriyor
[ ] URL slug kisa ve keyword iceriyor[ ] AI slop taramasi yapildi (0 pattern)
[ ] Kalite skoru 70+ (5 boyut)
[ ] Watermark temizligi yapildi
[ ] Okunabilirlik kontrolu (Hemingway Grade 6-8)
[ ] Mobil gorunum kontrolu
[ ] Schema markup eklendi (Article/HowTo/FAQ)Sablonla olceklenebilir icerik uretimi:
SABLON: "[Sehir]'de En Iyi [Kategori] [Yil]"
→ "Istanbul'da En Iyi Kahve Dukkanlari 2026"
→ "Ankara'da En Iyi Co-working Alanlari 2026"
→ "Izmir'de En Iyi Vegan Restoranlar 2026"
VERI KAYNAKLARI:
- Sehir listesi (81 il)
- Kategori listesi (50+ is tipi)
- Google Places API (isletme verileri)
URETIM:
81 sehir x 50 kategori = 4,050 sayfa
Her sayfa benzersiz veri iceriyor (template degil)PILLAR PAGE (3000+ kelime):
"Mobil Uygulama Monetizasyonu Rehberi"
│
├── CLUSTER 1: "Freemium vs Premium Model Karsilastirmasi"
├── CLUSTER 2: "In-App Purchase Stratejileri"
├── CLUSTER 3: "Subscription Pricing Rehberi"
├── CLUSTER 4: "Paywall Tasarim Best Practices"
├── CLUSTER 5: "A/B Test ile Fiyat Optimizasyonu"
└── CLUSTER 6: "Regional Pricing (PPP) Uygulama"
Her cluster pillar page'e link verir.
Pillar page her cluster'a link verir.
Topical authority olusur.1. KEYWORD RESEARCH
└─ Ana keyword + 10 long-tail sec
2. OUTLINE
└─ H2/H3 yapisi olustur (rakip analizi bazli)
3. DRAFT
└─ Yazildi (AI veya insan)
4. SLOP CHECK
└─ 30+ pattern taramasi
└─ Bulunan pattern'leri temizle
5. QUALITY SCORE
└─ 5 boyut skorlama
└─ 70+ = devam, <70 = revize
6. WATERMARK CLEAN
└─ Unicode temizligi
7. SEO CHECK
└─ Keyword, meta, link kontrolu
8. PUBLISH| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-20 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-08 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +36 percentage points is the difference between those two pass rates over the 22 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.