joeseesun/qiaomu-anything-to-notebooklm is a content-pipeline skill bundle that solves the boring half of using Google's NotebookLM: getting heterogeneous source material into the format NotebookLM actually accepts. The bundle ships ingestion adapters for URLs (article extraction, YouTube transcript pulling), PDFs (OCR and clean text extraction), audio (Whisper transcription), and arbitrary markdown/text. Output is normalized to NotebookLM's source-upload format — clean text plus metadata. Trending on GitHub at +465 stars/day on 2026-05-15 with skill bundles dominating the trending board, the project rides the same wave as mattpocock/skills and obra/superpowers but applied to the content-pipeline vertical specifically. Useful as a pre-stage in any pipeline that ends with NotebookLM podcast or briefing generation.
joeseesun/qiaomu-anything-to-notebooklm is a content-pipeline skill that normalizes heterogeneous source material into the format NotebookLM accepts. It ships ingestion adapters for URLs, PDFs, YouTube transcripts, audio (via Whisper), and arbitrary markdown — outputting clean text plus metadata ready for upload as NotebookLM sources.
GitHub’s trending board on May 15, 2026 had skill bundles in five of the top fifteen positions. qiaomu-anything-to-notebooklm represents the vertical-specialization wave of that trend: rather than a generic skill catalog, it solves one specific pipeline problem — getting source material into NotebookLM cleanly — and ships it as a runnable SKILL.md bundle.
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