qiaomu-anything-to-notebooklm

To convert paywalled news into a podcast, this Skill extracts content using a six-level paywall bypass for 300+ sites, then uploads the text to NotebookLM to automatically generate an audio podcast. It handles the extraction and format conversion without manual copy-pasting.

Yes, you can extract content from WeChat public accounts and YouTube videos for mind map generation. The Skill uses MCP server integration and Playwright to fetch from 15+ source types, automatically transforming the extracted media into NotebookLM mind maps.

Automating document conversion requires Python 3.9+, NotebookLM CLI, markitdown, and Playwright. Optional Get笔记 API credentials are needed for specific scraping tasks. These dependencies enable the automated extraction and slide deck generation pipeline.

Yes, it supports deep analysis report generation from local PDF and EPUB files. The Skill performs a progressive three-round questioning process—overview, deep dive, and synthesis—producing structured JSON analysis that can be optionally exported to Feishu documents.

The best way to turn social media threads into quizzes and flashcards is using this Skill's automated extraction pipeline. It fetches content from platforms like X/Twitter, uploads it to NotebookLM, and generates interactive quizzes and flashcards via natural language instructions.

While the content extraction includes a six-level paywall bypass for 300+ news sites, limitations exist if sites require complex interactive authentication. The extraction relies on Playwright and markitdown, so heavily obfuscated or dynamically rendered content may occasionally fail to parse.