zstmfhy/wechat-to-notebooklm

Overview

This skill syncs a WeChat Official Account article (mp.weixin.qq.com) into Google NotebookLM. It fetches the article, converts it to clean Markdown, creates a NotebookLM notebook (or uses an existing one), uploads the article as a source, and returns the notebook and source IDs for follow-up actions.

How this skill works

Given a WeChat article URL, the skill fetches the page content using a web reader, converts the result to Markdown, and saves it to a temporary file. It then creates a new NotebookLM notebook (or targets an existing notebook), uploads the Markdown file as a source, and parses the NotebookLM responses to return notebook and source IDs plus a short summary of the operation.

When to use it

• You have a WeChat Official Account article URL and want it in NotebookLM for analysis.
• You want to chat with or summarize a WeChat article using NotebookLM's AI.
• You plan to generate content (podcast, video, summary) from a WeChat post.
• You need to collect multiple WeChat articles into a single NotebookLM collection.
• You want quick indexing of public WeChat articles for research or study.

Best practices

• Provide a publicly accessible mp.weixin.qq.com URL to ensure the web reader can fetch content.
• Use descriptive notebook titles (extract from article title) to keep sources organized.
• Verify NotebookLM authentication (notebooklm login / notebooklm status) before syncing.
• Check notebooklm source list after upload to confirm the file indexed correctly.
• Clean up temporary Markdown files and handle rate limits by retrying after a short wait.

Example use cases

• Sync a single WeChat article and ask NotebookLM for a three-bullet summary.
• Batch-import a set of mp.weixin.qq.com links into one NotebookLM notebook for topic research.
• Create a notebook from a tutorial post and generate a podcast script from the content.
• Add a recent company WeChat announcement to NotebookLM for Q&A and insight extraction.
• Collect industry articles into a single notebook for comparative analysis.