Extract YouTube transcripts in batches using NotebookLM notebooks.
npx skills add https://github.com/EndUser123/cc-marketplace --skill yt-nlm
Please help me install this Agent Skill. Skill: yt-nlm Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-media/skills/yt-nlm Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill yt-nlm
YouTube creators and researchers need scalable access to video transcripts for indexing, search, and knowledge-base creation; manual transcription is slow and error-prone, especially across large channels.
Run yt-nlm to batch-extract transcripts from pending YouTube videos.
High-intent search queries and answers about installing and using this skill.
Batch extract YouTube transcripts by routing channel video lists through NotebookLM batch notebooks. The workflow reads pending videos from batch_status.sqlite, processes up to 300 sources per notebook, and outputs cached transcripts to transcripts.sqlite.
Ingest YouTube video transcripts into a knowledge base by batch processing channel sources through NotebookLM. The workflow aggregates raw transcripts into combined markdown batches ready for integration into CK or Obsidian-style knowledge repositories.
Yes, you need a NotebookLM Pro or Plus account to batch process YouTube transcripts. The workflow also requires the NotebookLM CLI (nlm) installed and active internet access to authenticate and retrieve video sources.
NotebookLM handles auth recovery during YouTube transcript extraction by automatically re-authenticating the session if it expires. This allows batch processing of large video sets to continue without manual intervention.
You can process more than 300 YouTube videos by reusing a single NotebookLM batch notebook. The workflow manages 300 sources per notebook cycle, caching transcripts in transcripts.sqlite before processing the next batch.
Batch processing stops when the NotebookLM session expires if automatic auth recovery is unavailable. Ensure the NotebookLM CLI (nlm) is configured correctly so the workflow can re-authenticate and resume extracting pending video transcripts.
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