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Is Yt Notebooklm Pipeline free to use?

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Who published Yt Notebooklm Pipeline?

mustafayilmazart (@mustafayilmazart) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Yt Notebooklm Pipeline by mustafayilmazart

Name: Yt Notebooklm Pipeline
Author: mustafayilmazart

File contents

YouTube + NotebookLM Pipeline

Tek prompt ile calisan tam otomasyon pipeline:

YouTube'da arama yap (yt-dlp)
Video URL'lerini NotebookLM'e kaynak olarak yukle
NotebookLM'de analiz yap
Infografik, podcast, mind map vb. uret

Kullanim

/yt-notebooklm-pipeline <konu> [cikti_turu]

Standart Islem Proseduru

Faz 1: YouTube Arama

python ~/.claude/skills/yt-search/scripts/search.py "<konu>" --max-results 20 --period 6m

Faz 2: NotebookLM Notebook Olustur

notebooklm create "<konu> Research"
notebooklm use <notebook_id>

Faz 3: Kaynaklari Yukle

Video URL'lerini .output/yt-urls.txt dosyasindan oku ve NotebookLM'e ekle:

python ~/.claude/skills/yt-notebooklm-pipeline/scripts/load_sources.py .output/yt-urls.txt

Veya tek tek:

notebooklm source add "https://youtube.com/watch?v=VIDEO_ID_1"
notebooklm source add "https://youtube.com/watch?v=VIDEO_ID_2"
# ... (50'ye kadar kaynak)

Faz 4: Analiz

notebooklm ask "Based on all the sources, what are the key themes and insights?"
notebooklm ask "What are the most recommended strategies/tools mentioned across videos?"

Faz 5: Icerik Uretimi

Kullanicinin istegine gore:

# Infografik (blueprint/handwritten tarz)
notebooklm generate infographic --orientation portrait --detail detailed --wait
notebooklm download infographic ./.output/infographic.png

# Podcast
notebooklm generate audio "engaging analysis" --format deep-dive --wait
notebooklm download audio ./.output/podcast.mp3

# Mind Map
notebooklm generate mind-map --wait
notebooklm download mind-map ./.output/mindmap.json

# Slayt Sunumu
notebooklm generate slide-deck --format detailed --length 12 --wait
notebooklm download slide-deck ./.output/slides.pptx --format pptx

# Flashcard
notebooklm generate flashcards --quantity more --wait
notebooklm download flashcards ./.output/flashcards.md --format markdown

# Quiz
notebooklm generate quiz --difficulty hard --wait
notebooklm download quiz ./.output/quiz.md --format markdown

Tam Otomasyon Script

Tum pipeline'i tek seferde calistirmak icin:

python ~/.claude/skills/yt-notebooklm-pipeline/scripts/pipeline.py "<konu>" --output-type infographic

Cikti Turleri

infographic - Blueprint/handwritten tarz infografik
audio - Deep-dive podcast
video - Whiteboard video
mind-map - Zihin haritasi
slide-deck - Slayt sunumu
flashcards - Bilgi kartlari
quiz - Sinav
report - Calisma rehberi
all - Hepsini uret

Onemli Notlar

NotebookLM'de analiz Google sunucularinda yapiir, Claude Code neredeyse sifir token harcar
50'ye kadar kaynak yuklenebilir
Ilk kullanimda notebooklm login gereklidir

---name: yt-notebooklm-pipelinedescription: YouTube video arama + NotebookLM analiz pipeline. Tek prompt ile YouTube scrape, NotebookLM'e kaynak yukleme, analiz ve icerik uretimi.---# YouTube + NotebookLM PipelineTek prompt ile calisan tam otomasyon pipeline:1. YouTube'da arama yap (yt-dlp)2. Video URL'lerini NotebookLM'e kaynak olarak yukle3. NotebookLM'de analiz yap4. Infografik, podcast, mind map vb. uret## Kullanim```/yt-notebooklm-pipeline <konu> [cikti_turu]```## Standart Islem Proseduru### Faz 1: YouTube Arama```bashpython ~/.claude/skills/yt-search/scripts/search.py "<konu>" --max-results 20 --period 6m```### Faz 2: NotebookLM Notebook Olustur```bashnotebooklm create "<konu> Research"notebooklm use <notebook_id>```### Faz 3: Kaynaklari YukleVideo URL'lerini `.output/yt-urls.txt` dosyasindan oku ve NotebookLM'e ekle:```bashpython ~/.claude/skills/yt-notebooklm-pipeline/scripts/load_sources.py .output/yt-urls.txt```Veya tek tek:```bashnotebooklm source add "https://youtube.com/watch?v=VIDEO_ID_1"notebooklm source add "https://youtube.com/watch?v=VIDEO_ID_2"# ... (50'ye kadar kaynak)```### Faz 4: Analiz```bashnotebooklm ask "Based on all the sources, what are the key themes and insights?"notebooklm ask "What are the most recommended strategies/tools mentioned across videos?"```### Faz 5: Icerik UretimiKullanicinin istegine gore:```bash# Infografik (blueprint/handwritten tarz)notebooklm generate infographic --orientation portrait --detail detailed --waitnotebooklm download infographic ./.output/infographic.png# Podcastnotebooklm generate audio "engaging analysis" --format deep-dive --waitnotebooklm download audio ./.output/podcast.mp3# Mind Mapnotebooklm generate mind-map --waitnotebooklm download mind-map ./.output/mindmap.json# Slayt Sunumunotebooklm generate slide-deck --format detailed --length 12 --waitnotebooklm download slide-deck ./.output/slides.pptx --format pptx# Flashcardnotebooklm generate flashcards --quantity more --waitnotebooklm download flashcards ./.output/flashcards.md --format markdown# Quiznotebooklm generate quiz --difficulty hard --waitnotebooklm download quiz ./.output/quiz.md --format markdown```## Tam Otomasyon ScriptTum pipeline'i tek seferde calistirmak icin:```bashpython ~/.claude/skills/yt-notebooklm-pipeline/scripts/pipeline.py "<konu>" --output-type infographic```## Cikti Turleri- `infographic` - Blueprint/handwritten tarz infografik- `audio` - Deep-dive podcast- `video` - Whiteboard video- `mind-map` - Zihin haritasi- `slide-deck` - Slayt sunumu- `flashcards` - Bilgi kartlari- `quiz` - Sinav- `report` - Calisma rehberi- `all` - Hepsini uret## Onemli Notlar- NotebookLM'de analiz Google sunucularinda yapiir, Claude Code neredeyse sifir token harcar- 50'ye kadar kaynak yuklenebilir- Ilk kullanimda `notebooklm login` gereklidir

Frequently asked questions

Yt Notebooklm Pipeline