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AI slop temizleme (30+ pattern), icerik kalite skorlama (5 boyut), watermark temizleme, copywriting formulleri (AIDA, PAS, BAB), programmatic SEO ve icerik stratejisi.","rubicanjr\u002FFinCognis","rubicanjr","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F234912519?v=4","01M6NT156NND8J474G34SB3923","Rubi","01M6NT15B70RWXE1N3YV0BZY8A",0,"MIT","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fcontent-marketing\u002FSKILL.md",[18,23,26,31],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000035","市场营销","PROFESSION","适用职业",{"categoryNo":32,"categoryName":33,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000036","内容创作者",[35,36,37,38,39,40,41,42,43,44,45],"content","marketing","content marketing","copywriting","programmatic seo","seo","aida","pattern","yazi","programmatic","slop","2026-11-10 10:12:30",false,"---\nname: content-marketing\ndescription: 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.\n---\n\n# Content Marketing\n\nAI destekli icerik uretimi icin kalite kontrol, SEO optimizasyonu ve pazarlama psikolojisi.\n\n## AI Slop Detector (30+ Pattern)\n\nAI tarafindan yazildigini ele veren kaliplari tespit et ve temizle.\n\n### Yasak Acilis Cumleri\n\n```\nTESPIT ET VE SIL:\n- \"In today's digital landscape...\"\n- \"In the ever-evolving world of...\"\n- \"Let's dive in...\"\n- \"Let's dive deep into...\"\n- \"In this comprehensive guide...\"\n- \"Welcome to our deep dive...\"\n- \"Are you ready to discover...\"\n- \"Have you ever wondered...\"\n- \"In an era where...\"\n- \"The landscape of X is rapidly changing...\"\n```\n\n### Yasak Kelimeler ve Ifadeler\n\n```\nYUKSEK RISK (hemen degistir):\n- \"leverage\" → \"use\" veya \"apply\"\n- \"utilize\" → \"use\"\n- \"delve\" → \"explore\" veya \"look at\"\n- \"tapestry\" → SIL veya yeniden yaz\n- \"paradigm shift\" → \"change\" veya \"new approach\"\n- \"synergy\" → SIL\n- \"holistic\" → \"complete\" veya \"full\"\n- \"robust\" → \"strong\" veya \"reliable\"\n- \"seamless\" → \"smooth\" veya \"easy\"\n- \"cutting-edge\" → \"modern\" veya \"new\"\n- \"game-changer\" → spesifik etkiyi yaz\n- \"revolutionize\" → ne degistigini yaz\n- \"empower\" → ne yaptigini yaz\n- \"streamline\" → nasil basitlestirdigini yaz\n\nORTA RISK (context'e gore):\n- \"It's worth noting that...\" → direkt soyle\n- \"It's important to understand...\" → direkt soyle\n- \"Interestingly enough...\" → SIL\n- \"As we all know...\" → SIL\n- \"At the end of the day...\" → SIL\n- \"Moving forward...\" → SIL\n- \"That being said...\" → SIL\n- \"Without further ado...\" → SIL\n```\n\n### Yapi Kaliplari\n\n```\nTESPIT ET:\n- Her paragraf tam 3 cumle (AI pattern)\n- Her baslik soru formunda (AI pattern)\n- \"First... Second... Third...\" listeleme (dogal degil)\n- Her bolum ayni uzunlukta (insan boyle yazmaz)\n- Emoji arasinda icerik (LinkedIn AI slop)\n```\n\n### Regex Tarama\n\n```bash\n# AI slop tarama script'i\ngrep -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\n  echo \"SLOP TESPIT: $line\"\ndone\n```\n\n## Icerik Kalite Skorlama (5 Boyut)\n\nHer icerik parcasini 5 boyutta skorla. Toplam 100 puan, gecme esigi 70.\n\n| Boyut | Agirlik | Olcum |\n|-------|---------|-------|\n| Insanilik | %30 | AI slop pattern sayisi (az = iyi), kisisel ton, gercek ornekler |\n| Spesifiklik | %25 | Somut rakamlar, gercek isimler, detayli ornekler (belirsiz = dusuk skor) |\n| Yapi Dengesi | %20 | Paragraf uzunlugu varyasyonu, baslik cesitliligi, liste\u002Fmetin dengesi |\n| SEO | %15 | Keyword yogunlugu (%1-3), baslik optimizasyonu, meta description, internal link |\n| Okunabilirlik | %10 | Cumle uzunlugu varyasyonu, aktif dil, gereksiz kelime orani |\n\n### Skorlama Formulu\n\n```\nInsanilik = 30 - (slop_pattern_sayisi * 3)  \u002F\u002F max 30\nSpesifiklik = somut_ornek_sayisi * 5         \u002F\u002F max 25\nYapi = paragraf_varyasyon_skoru              \u002F\u002F max 20\nSEO = keyword_skor + meta_skor + link_skor   \u002F\u002F max 15\nOkunabilirlik = cumle_varyasyon + aktif_oran  \u002F\u002F max 10\n\nTOPLAM = Insanilik + Spesifiklik + Yapi + SEO + Okunabilirlik\n\n70+ = YAYINLA\n50-69 = REVIZE ET (otomatik, max 2 deneme)\n\u003C50 = YENIDEN YAZ\n```\n\n## AI Watermark Temizleme\n\nAI uretimi metinlerde gorunmeyen Unicode karakterler olabilir:\n\n```bash\n# Gorunmeyen watermark'lari temizle\nsed -i '' 's\u002F\\xe2\\x80\\x8b\u002F\u002Fg' \"$1\"    # Zero-width space (U+200B)\nsed -i '' 's\u002F\\xe2\\x80\\x8c\u002F\u002Fg' \"$1\"    # Zero-width non-joiner (U+200C)\nsed -i '' 's\u002F\\xe2\\x80\\x8d\u002F\u002Fg' \"$1\"    # Zero-width joiner (U+200D)\nsed -i '' 's\u002F\\xef\\xbb\\xbf\u002F\u002Fg' \"$1\"    # BOM (U+FEFF)\nsed -i '' 's\u002F\\xc2\\xad\u002F\u002Fg' \"$1\"        # Soft hyphen (U+00AD)\n\n# Em dash asiri kullanimi (AI belirtisi)\n# 3+ em dash varsa 1'e dusur\nsed -i '' 's\u002F—\u002F--\u002Fg' \"$1\"  # em dash -> double hyphen\n```\n\n## Copywriting Formulleri\n\n### AIDA (Attention-Interest-Desire-Action)\n\n```\nATTENTION: Dikkat cekici baslik veya istatistik\n  \"Kullanicilarin %73'u ilk 3 saniyede karar veriyor\"\n\nINTEREST: Problemi detaylandir, empati kur\n  \"Her gun saatlerce icerik yazip sonuc alamiyorsun\"\n\nDESIRE: Cozumun faydasini goster\n  \"Bu framework ile 30 dakikada SEO-optimized icerik uret\"\n\nACTION: Net CTA\n  \"Simdi dene -- ilk 7 gun ucretsiz\"\n```\n\n### PAS (Problem-Agitate-Solve)\n\n```\nPROBLEM: Sorunu tanimla\n  \"Blog'un organik trafik almiyor\"\n\nAGITATE: Sorunun etkilerini buyut\n  \"Her gun rakiplerin senden once siralamalara giriyor.\n   Her gecen gun daha fazla potansiyel musteri kaybediyorsun.\"\n\nSOLVE: Cozumu sun\n  \"Keyword research + content cluster stratejisi ile\n   3 ayda organik trafigi 5x artir\"\n```\n\n### BAB (Before-After-Bridge)\n\n```\nBEFORE: Mevcut durum\n  \"Haftalik 2 blog yazisi, 500 organik ziyaretci\"\n\nAFTER: Hedef durum\n  \"Haftalik 5 optimized yazi, 5000 organik ziyaretci\"\n\nBRIDGE: Nasil ulasacaksin\n  \"Content cluster + pillar page stratejisi\"\n```\n\n## SEO Icerik Checklist\n\n### Yazi Oncesi\n\n```\n[ ] Keyword research yapildi (ana + 5-10 long-tail)\n[ ] Search intent belirlendi (informational\u002Ftransactional\u002Fnavigational)\n[ ] Rakip analizi yapildi (ilk 5 sonuc incelendi)\n[ ] Content outline olusturuldu (H2\u002FH3 yapisi)\n[ ] Internal link firsatlari belirlendi\n```\n\n### Yazi Icinde\n\n```\n[ ] Baslik keyword iceriyor (ilk 60 karakter)\n[ ] Meta description yazildi (155 karakter, CTA iceriyor)\n[ ] H1 tek ve keyword iceriyor\n[ ] H2'ler keyword varyasyonlari iceriyor\n[ ] Ilk 100 kelimede ana keyword var\n[ ] Keyword yogunlugu %1-3 arasi\n[ ] Internal link'ler eklendi (min 3)\n[ ] External link'ler eklendi (otorite kaynaklara, min 2)\n[ ] Gorseller alt text iceriyor\n[ ] URL slug kisa ve keyword iceriyor\n```\n\n### Yazi Sonrasi\n\n```\n[ ] AI slop taramasi yapildi (0 pattern)\n[ ] Kalite skoru 70+ (5 boyut)\n[ ] Watermark temizligi yapildi\n[ ] Okunabilirlik kontrolu (Hemingway Grade 6-8)\n[ ] Mobil gorunum kontrolu\n[ ] Schema markup eklendi (Article\u002FHowTo\u002FFAQ)\n```\n\n## Programmatic SEO\n\nSablonla olceklenebilir icerik uretimi:\n\n```\nSABLON: \"[Sehir]'de En Iyi [Kategori] [Yil]\"\n  → \"Istanbul'da En Iyi Kahve Dukkanlari 2026\"\n  → \"Ankara'da En Iyi Co-working Alanlari 2026\"\n  → \"Izmir'de En Iyi Vegan Restoranlar 2026\"\n\nVERI KAYNAKLARI:\n  - Sehir listesi (81 il)\n  - Kategori listesi (50+ is tipi)\n  - Google Places API (isletme verileri)\n\nURETIM:\n  81 sehir x 50 kategori = 4,050 sayfa\n  Her sayfa benzersiz veri iceriyor (template degil)\n```\n\n## Content Cluster Stratejisi\n\n```\nPILLAR PAGE (3000+ kelime):\n  \"Mobil Uygulama Monetizasyonu Rehberi\"\n    │\n    ├── CLUSTER 1: \"Freemium vs Premium Model Karsilastirmasi\"\n    ├── CLUSTER 2: \"In-App Purchase Stratejileri\"\n    ├── CLUSTER 3: \"Subscription Pricing Rehberi\"\n    ├── CLUSTER 4: \"Paywall Tasarim Best Practices\"\n    ├── CLUSTER 5: \"A\u002FB Test ile Fiyat Optimizasyonu\"\n    └── CLUSTER 6: \"Regional Pricing (PPP) Uygulama\"\n\nHer cluster pillar page'e link verir.\nPillar page her cluster'a link verir.\nTopical authority olusur.\n```\n\n## Icerik Uretim Pipeline\n\n```\n1. KEYWORD RESEARCH\n   └─ Ana keyword + 10 long-tail sec\n\n2. OUTLINE\n   └─ H2\u002FH3 yapisi olustur (rakip analizi bazli)\n\n3. DRAFT\n   └─ Yazildi (AI veya insan)\n\n4. SLOP CHECK\n   └─ 30+ pattern taramasi\n   └─ Bulunan pattern'leri temizle\n\n5. QUALITY SCORE\n   └─ 5 boyut skorlama\n   └─ 70+ = devam, \u003C70 = revize\n\n6. WATERMARK CLEAN\n   └─ Unicode temizligi\n\n7. SEO CHECK\n   └─ Keyword, meta, link kontrolu\n\n8. PUBLISH\n```\n\n## vibecosystem Entegrasyonu\n\n- **copywriter agent**: Bu skill'i birincil referans olarak kullanir\n- **growth agent**: Content stratejisi ve programmatic SEO icin\n- **seo-specialist agent**: Teknik SEO kontrollerini uygular\n- **ai-slop-cleaner skill**: Slop pattern'leri bu skill'den besler\n- **technical-writer agent**: Dokumantasyonda da slop kontrolu yapar\n","# Content Marketing\n\nAI destekli icerik uretimi icin kalite kontrol, SEO optimizasyonu ve pazarlama psikolojisi.\n\n## AI Slop Detector (30+ Pattern)\n\nAI tarafindan yazildigini ele veren kaliplari tespit et ve temizle.\n\n### Yasak Acilis Cumleri\n\n```\nTESPIT ET VE SIL:\n- \"In today's digital landscape...\"\n- \"In the ever-evolving world of...\"\n- \"Let's dive in...\"\n- \"Let's dive deep into...\"\n- \"In this comprehensive guide...\"\n- \"Welcome to our deep dive...\"\n- \"Are you ready to discover...\"\n- \"Have you ever wondered...\"\n- \"In an era where...\"\n- \"The landscape of X is rapidly changing...\"\n```\n\n### Yasak Kelimeler ve Ifadeler\n\n```\nYUKSEK RISK (hemen degistir):\n- \"leverage\" → \"use\" veya \"apply\"\n- \"utilize\" → \"use\"\n- \"delve\" → \"explore\" veya \"look at\"\n- \"tapestry\" → SIL veya yeniden yaz\n- \"paradigm shift\" → \"change\" veya \"new approach\"\n- \"synergy\" → SIL\n- \"holistic\" → \"complete\" veya \"full\"\n- \"robust\" → \"strong\" veya \"reliable\"\n- \"seamless\" → \"smooth\" veya \"easy\"\n- \"cutting-edge\" → \"modern\" veya \"new\"\n- \"game-changer\" → spesifik etkiyi yaz\n- \"revolutionize\" → ne degistigini yaz\n- \"empower\" → ne yaptigini yaz\n- \"streamline\" → nasil basitlestirdigini yaz\n\nORTA RISK (context'e gore):\n- \"It's worth noting that...\" → direkt soyle\n- \"It's important to understand...\" → direkt soyle\n- \"Interestingly enough...\" → SIL\n- \"As we all know...\" → SIL\n- \"At the end of the day...\" → SIL\n- \"Moving forward...\" → SIL\n- \"That being said...\" → SIL\n- \"Without further ado...\" → SIL\n```\n\n### Yapi Kaliplari\n\n```\nTESPIT ET:\n- Her paragraf tam 3 cumle (AI pattern)\n- Her baslik soru formunda (AI pattern)\n- \"First... Second... Third...\" listeleme (dogal degil)\n- Her bolum ayni uzunlukta (insan boyle yazmaz)\n- Emoji arasinda icerik (LinkedIn AI slop)\n```\n\n### Regex Tarama\n\n```bash\n# AI slop tarama script'i\ngrep -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\n  echo \"SLOP TESPIT: $line\"\ndone\n```\n\n## Icerik Kalite Skorlama (5 Boyut)\n\nHer icerik parcasini 5 boyutta skorla. Toplam 100 puan, gecme esigi 70.\n\n| Boyut | Agirlik | Olcum |\n|-------|---------|-------|\n| Insanilik | %30 | AI slop pattern sayisi (az = iyi), kisisel ton, gercek ornekler |\n| Spesifiklik | %25 | Somut rakamlar, gercek isimler, detayli ornekler (belirsiz = dusuk skor) |\n| Yapi Dengesi | %20 | Paragraf uzunlugu varyasyonu, baslik cesitliligi, liste\u002Fmetin dengesi |\n| SEO | %15 | Keyword yogunlugu (%1-3), baslik optimizasyonu, meta description, internal link |\n| Okunabilirlik | %10 | Cumle uzunlugu varyasyonu, aktif dil, gereksiz kelime orani |\n\n### Skorlama Formulu\n\n```\nInsanilik = 30 - (slop_pattern_sayisi * 3)  \u002F\u002F max 30\nSpesifiklik = somut_ornek_sayisi * 5         \u002F\u002F max 25\nYapi = paragraf_varyasyon_skoru              \u002F\u002F max 20\nSEO = keyword_skor + meta_skor + link_skor   \u002F\u002F max 15\nOkunabilirlik = cumle_varyasyon + aktif_oran  \u002F\u002F max 10\n\nTOPLAM = Insanilik + Spesifiklik + Yapi + SEO + Okunabilirlik\n\n70+ = YAYINLA\n50-69 = REVIZE ET (otomatik, max 2 deneme)\n\u003C50 = YENIDEN YAZ\n```\n\n## AI Watermark Temizleme\n\nAI uretimi metinlerde gorunmeyen Unicode karakterler olabilir:\n\n```bash\n# Gorunmeyen watermark'lari temizle\nsed -i '' 's\u002F\\xe2\\x80\\x8b\u002F\u002Fg' \"$1\"    # Zero-width space (U+200B)\nsed -i '' 's\u002F\\xe2\\x80\\x8c\u002F\u002Fg' \"$1\"    # Zero-width non-joiner (U+200C)\nsed -i '' 's\u002F\\xe2\\x80\\x8d\u002F\u002Fg' \"$1\"    # Zero-width joiner (U+200D)\nsed -i '' 's\u002F\\xef\\xbb\\xbf\u002F\u002Fg' \"$1\"    # BOM (U+FEFF)\nsed -i '' 's\u002F\\xc2\\xad\u002F\u002Fg' \"$1\"        # Soft hyphen (U+00AD)\n\n# Em dash asiri kullanimi (AI belirtisi)\n# 3+ em dash varsa 1'e dusur\nsed -i '' 's\u002F—\u002F--\u002Fg' \"$1\"  # em dash -> double hyphen\n```\n\n## Copywriting Formulleri\n\n### AIDA (Attention-Interest-Desire-Action)\n\n```\nATTENTION: Dikkat cekici baslik veya istatistik\n  \"Kullanicilarin %73'u ilk 3 saniyede karar veriyor\"\n\nINTEREST: Problemi detaylandir, empati kur\n  \"Her gun saatlerce icerik yazip sonuc alamiyorsun\"\n\nDESIRE: Cozumun faydasini goster\n  \"Bu framework ile 30 dakikada SEO-optimized icerik uret\"\n\nACTION: Net CTA\n  \"Simdi dene -- ilk 7 gun ucretsiz\"\n```\n\n### PAS (Problem-Agitate-Solve)\n\n```\nPROBLEM: Sorunu tanimla\n  \"Blog'un organik trafik almiyor\"\n\nAGITATE: Sorunun etkilerini buyut\n  \"Her gun rakiplerin senden once siralamalara giriyor.\n   Her gecen gun daha fazla potansiyel musteri kaybediyorsun.\"\n\nSOLVE: Cozumu sun\n  \"Keyword research + content cluster stratejisi ile\n   3 ayda organik trafigi 5x artir\"\n```\n\n### BAB (Before-After-Bridge)\n\n```\nBEFORE: Mevcut durum\n  \"Haftalik 2 blog yazisi, 500 organik ziyaretci\"\n\nAFTER: Hedef durum\n  \"Haftalik 5 optimized yazi, 5000 organik ziyaretci\"\n\nBRIDGE: Nasil ulasacaksin\n  \"Content cluster + pillar page stratejisi\"\n```\n\n## SEO Icerik Checklist\n\n### Yazi Oncesi\n\n```\n[ ] Keyword research yapildi (ana + 5-10 long-tail)\n[ ] Search intent belirlendi (informational\u002Ftransactional\u002Fnavigational)\n[ ] Rakip analizi yapildi (ilk 5 sonuc incelendi)\n[ ] Content outline olusturuldu (H2\u002FH3 yapisi)\n[ ] Internal link firsatlari belirlendi\n```\n\n### Yazi Icinde\n\n```\n[ ] Baslik keyword iceriyor (ilk 60 karakter)\n[ ] Meta description yazildi (155 karakter, CTA iceriyor)\n[ ] H1 tek ve keyword iceriyor\n[ ] H2'ler keyword varyasyonlari iceriyor\n[ ] Ilk 100 kelimede ana keyword var\n[ ] Keyword yogunlugu %1-3 arasi\n[ ] Internal link'ler eklendi (min 3)\n[ ] External link'ler eklendi (otorite kaynaklara, min 2)\n[ ] Gorseller alt text iceriyor\n[ ] URL slug kisa ve keyword iceriyor\n```\n\n### Yazi Sonrasi\n\n```\n[ ] AI slop taramasi yapildi (0 pattern)\n[ ] Kalite skoru 70+ (5 boyut)\n[ ] Watermark temizligi yapildi\n[ ] Okunabilirlik kontrolu (Hemingway Grade 6-8)\n[ ] Mobil gorunum kontrolu\n[ ] Schema markup eklendi (Article\u002FHowTo\u002FFAQ)\n```\n\n## Programmatic SEO\n\nSablonla olceklenebilir icerik uretimi:\n\n```\nSABLON: \"[Sehir]'de En Iyi [Kategori] [Yil]\"\n  → \"Istanbul'da En Iyi Kahve Dukkanlari 2026\"\n  → \"Ankara'da En Iyi Co-working Alanlari 2026\"\n  → \"Izmir'de En Iyi Vegan Restoranlar 2026\"\n\nVERI KAYNAKLARI:\n  - Sehir listesi (81 il)\n  - Kategori listesi (50+ is tipi)\n  - Google Places API (isletme verileri)\n\nURETIM:\n  81 sehir x 50 kategori = 4,050 sayfa\n  Her sayfa benzersiz veri iceriyor (template degil)\n```\n\n## Content Cluster Stratejisi\n\n```\nPILLAR PAGE (3000+ kelime):\n  \"Mobil Uygulama Monetizasyonu Rehberi\"\n    │\n    ├── CLUSTER 1: \"Freemium vs Premium Model Karsilastirmasi\"\n    ├── CLUSTER 2: \"In-App Purchase Stratejileri\"\n    ├── CLUSTER 3: \"Subscription Pricing Rehberi\"\n    ├── CLUSTER 4: \"Paywall Tasarim Best Practices\"\n    ├── CLUSTER 5: \"A\u002FB Test ile Fiyat Optimizasyonu\"\n    └── CLUSTER 6: \"Regional Pricing (PPP) Uygulama\"\n\nHer cluster pillar page'e link verir.\nPillar page her cluster'a link verir.\nTopical authority olusur.\n```\n\n## Icerik Uretim Pipeline\n\n```\n1. KEYWORD RESEARCH\n   └─ Ana keyword + 10 long-tail sec\n\n2. OUTLINE\n   └─ H2\u002FH3 yapisi olustur (rakip analizi bazli)\n\n3. DRAFT\n   └─ Yazildi (AI veya insan)\n\n4. SLOP CHECK\n   └─ 30+ pattern taramasi\n   └─ Bulunan pattern'leri temizle\n\n5. QUALITY SCORE\n   └─ 5 boyut skorlama\n   └─ 70+ = devam, \u003C70 = revize\n\n6. WATERMARK CLEAN\n   └─ Unicode temizligi\n\n7. SEO CHECK\n   └─ Keyword, meta, link kontrolu\n\n8. PUBLISH\n```\n\n## vibecosystem Entegrasyonu\n\n- **copywriter agent**: Bu skill'i birincil referans olarak kullanir\n- **growth agent**: Content stratejisi ve programmatic SEO icin\n- **seo-specialist agent**: Teknik SEO kontrollerini uygular\n- **ai-slop-cleaner skill**: Slop pattern'leri bu skill'den besler\n- **technical-writer agent**: Dokumantasyonda da slop kontrolu yapar\n",{"name":5,"description":7},"main","70e1c350500ee750987420bbae48837afa906b7e","skills\u002Fcontent-marketing","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis","https:\u002F\u002Fgithub.com\u002Frubicanjr","linktr.ee\u002Ffinanskodu","Industrial Engineer & CIO @FinansKodu. Architecting AI-driven financial agents and autonomous workflows. 🏗️ Building systems, not just prompts.","2026-06-09 13:50:15",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add rubicanjr\u002FFinCognis --skill content-marketing",{"tool":65,"command":66},"bunx","bunx skills add rubicanjr\u002FFinCognis --skill content-marketing",{"tool":68,"command":69},"pnpm","pnpm dlx skills add rubicanjr\u002FFinCognis --skill content-marketing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fcontent-marketing\u002FSKILL.md",true,[],[74,93,102,122,152,171],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":83,"publishedAt":46},"01M6NWS9DAXJTADT4T5MB49X8W","workflow-router","Goal-based workflow orchestration - routes tasks to specialist agents based on user goals","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fworkflow-router\u002FSKILL.md",[80],{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[84,85,86,87,88,89,90,91,92],"workflow router","workflow","router","orchestration","goals","goal","user","workflow orchestration","tasks",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":46},"01M6NWS3RETSC0SHP16HP66E14","wiring","Wiring Verification","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fwiring\u002FSKILL.md",[],[95,100,101],"verification","false",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":111,"publishedAt":46},"01M6NWS0XW9CVQZBDA1EGW0TWC","websocket-patterns","Connection management, room patterns, reconnection strategies, message buffering, and binary protocol design.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fwebsocket-patterns\u002Fskill.md",[108],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",[112,113,114,115,116,117,118,119,120,121],"websocket","patterns","websocket patterns","design","protocol","management","message","strategies","binary","connection",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":132,"publishedAt":46},"01M6NWRDQDX9ZNETAWRRMQWV52","visual-verdict","Screenshot comparison QA for frontend development. Takes a screenshot of the current implementation, scores it across multiple visual dimensions, and returns a structured PASS\u002FREVISE\u002FFAIL verdict with concrete fixes. Use when implementing UI from a design reference or verifying visual correctness.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fvisual-verdict\u002FSKILL.md",[128,131],{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":81,"categoryName":82,"taxonomyType":21,"taxonomyTypeDesc":22},[133,134,135,136,137,138,139,140,141,142,143,144,145,115,146,147,148,149,150,151],"visual","verdict","visual verdict","ui","across","revise","comparison","correctness","implementing","for","fixes","dimensions","frontend","development","qa","screenshot","returns","use","frontend development",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":158,"publishedAt":46},"01M6NWR8HSNRS7MNDK2J02QYMN","verification-loop","Comprehensive verification system covering build, types, lint, tests, security, and diff review before a PR.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fverification-loop\u002FSKILL.md",[],[159,160,100,161,162,163,164,165,166,167,168,169,170],"verification loop","loop","lint","review","security","pr","system","diff","build","tests","diff review","types",{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":177,"publishedAt":46},"01M6NWR4HHSFR0VR5EXFRWA747","vector-db-patterns","Embedding strategies, ANN algorithms, hybrid search, RAG chunking strategies, and reranking for semantic search and retrieval.","https:\u002F\u002Fgithub.com\u002Frubicanjr\u002FFinCognis\u002Fblob\u002Fmain\u002Fskills\u002Fvector-db-patterns\u002Fskill.md",[],[178,179,180,181,113,182,183,184,185,119,186,187,188,189,190,142,191,192],"vector db patterns","vector db","db","vector","semantic search","search","embedding strategies","algorithms","chunking","semantic","retrieval","embedding","Hybrid Search","hybrid","rag"]