Automatically fetch, summarize, and archive Weibo hot searches into your Obsidian vault using local AI models.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weibo-trendnote-aipc
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install weibo-trendnote-aipc using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Weibo TrendNote AI PC is a specialized automation skill designed for Windows users who want to bridge the gap between social media trends and personal knowledge management. By leveraging local processing, it extracts the current Weibo hot search rankings and uses a local summarization flow to provide a concise digest of the day's most important topics.
As part of the Openclaw Skills collection, this tool prioritizes data sovereignty and efficiency. It doesn't just scrape data; it transforms noisy social signals into structured notes by appending both the raw hot list and the AI-generated summary directly into your Obsidian environment.
To get started with this skill on your Windows AI PC, ensure you have Python and Openclaw installed. Follow these steps:
python skill_runner.py once
python skill_runner.py install-crons
C:\Users\Intel\.openclaw\state\weibo_hot\env.ps1 if specific API or file paths are required.The skill manages its persistent data and configuration within a dedicated state directory. Below is the organization of its metadata and outputs:
| Type | Location / Format | Description |
|---|---|---|
| State Files | C:\Users\Intel\.openclaw\state\weibo_hot |
Stores local configuration and historical cache. |
| Config | env.ps1 |
Optional PowerShell script to define custom environment variables. |
| Output | Markdown (.md) | Content is appended to your designated Obsidian vault file. |
| Metadata | JSON | Openclaw Skills manifest defining OS compatibility (win32) and requirements. |
--force flag to override change detection for manual data refreshes.Loading
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