Have you ever tried importing a WeChat Official Account article into Google's NotebookLM?
The answer is: You can't import it directly.
NotebookLM supports a limited range of formats, yet some of the most valuable content on the Chinese internet exists in various non-standard formats—WeChat Official Account articles, Xiaohongshu posts, Bilibili videos, Zhihu columns, and more.
joeseesun/qiaomu-anything-to-notebooklm (project name "Qiaomu") was created precisely to bridge this gap.
What Can It Do?
The project's name says it all: Anything → NotebookLM.
Specifically, it supports the following content sources:
- WeChat Official Account Articles — One of its most valuable features
- Web Pages — Any URL
- YouTube Videos — Automatically extracts subtitles and key information
- PDFs — Academic papers, reports
- Markdown — Technical documentation
- Search Queries — Directly processes search results
After processing, it can generate:
- Podcasts — Converts content into conversational audio (NotebookLM's signature feature)
- PPTs — Automatically generates presentation slides
- Mind Maps — Structures knowledge visually
- Quizzes — Generates learning tests based on the content
With 4,420 stars and a gain of 2,257 in just one week, the absolute numbers might not rival some larger projects, but the growth rate is staggering. For a Claude Skill focused on a single use case, this surge indicates highly concentrated demand.
Why Is This Tool Worth Noticing?
Let me share an experience you've probably had.
You come across an excellent WeChat article and want to dive deep into its content. You bookmark it—and then it sits in your bookmarks forever.
Why? Because bookmarking ≠ digesting. To truly digest an article, you need to: extract key points, build knowledge connections, paraphrase it in your own words, and discuss it with others.
The core value of NotebookLM lies in turning "bookmarking" into "digesting". It lets you "converse" with the content—shifting from passive reading to active exploration.
However, NotebookLM's input format limitations restrict its capabilities. anything-to-notebooklm breaks through this barrier.
The Name "Qiaomu" Is Quite Interesting
The project author gave it the Chinese name "Qiaomu" (樵木), which translates to "woodcutter gathering firewood."
The metaphor is quite apt: content across the internet is like scattered firewood. This tool helps you gather it, process it, and feed it into the "furnace" of NotebookLM to burn.
Looking at the only two contributors on GitHub (joeseesun and claude), the development of this project itself heavily relies on AI assistance. A single developer, aided by Claude, built a 4,400-star project—a microcosm of the AI-era development model.
A Few Technical Implementation Details
It's a Claude Skill. This means it requires no independent deployment—as long as your Claude supports Skills, you can install and use it immediately. This "plug-and-play" design drastically lowers the barrier to entry.
Multi-source content processing is the core challenge. Scraping and parsing WeChat articles requires navigating various anti-bot mechanisms, YouTube videos need subtitle extraction and timestamp alignment, and PDFs demand layout and formula handling. Integrating all of this into a single Skill represents a significant engineering effort.
Rich output formats. It goes beyond simple text summaries to generate podcasts, PPTs, mind maps, and quizzes—covering a wide range of learning and professional scenarios.
A Practical Workflow Example
Let's imagine a specific use case:
- You come across three articles on AI Agent architectures on WeChat
- Use
anything-to-notebooklmto import them into NotebookLM - NotebookLM generates a podcast-style conversation to help you clarify the commonalities and differences across the three articles
- Simultaneously, it generates a mind map comparing the different architectural approaches
- Finally, it produces a few quiz questions to test your comprehension
Doing this workflow the traditional way could take hours. Now, it might only take a few minutes.
Things to Keep in Mind
Copyright of WeChat Content. WeChat Official Account articles are copyrighted. While personal study and research may fall under fair use, large-scale scraping and distribution require careful attention to legal boundaries.
Content Accuracy. During the extraction and conversion process from various formats, information loss or misinterpretation is possible. For critical academic or professional content, it's advisable to verify against the original text.
Dependence on NotebookLM's Availability. This tool relies on Google's NotebookLM remaining accessible and free. If NotebookLM's API or policies change, this tool may require adjustments.
Conclusion
anything-to-notebooklm isn't a "do-it-all" mega-project, but it solves a small yet painful problem: the gap between Chinese internet content and the world's best AI knowledge tools.
The 4,400 stars and the 2,200-star weekly surge show that many people are facing the exact same issue.
If you're a researcher, student, or knowledge worker who frequently needs to digest multi-source content, this Claude Skill is worth the 5 minutes it takes to install and try out.
Primary Source: GitHub - joeseesun/qiaomu-anything-to-notebooklm