A real-time data integration skill for tracking trending topics across major Chinese social media platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hot-topics
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 hot-topics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Hot Topics skill provides AI agents with instant access to real-time viral content and trending discussions from China's leading social media ecosystems. By connecting to platforms like Weibo, Zhihu, and Bilibili, this Openclaw Skills integration enables developers to monitor public sentiment, track viral news, and analyze cross-platform trends through a unified API.
It is an essential tool for any AI-driven application needing up-to-the-minute data on what is capturing the attention of millions across the Chinese internet. Whether you are building a news aggregator or a sentiment analysis tool, this skill offers a reliable bridge to high-velocity social data.
To integrate this into your environment, ensure you have a standard Python environment or a CLI tool capable of making HTTP requests. No API keys are required for the public endpoints provided in this Openclaw Skills instance.
# Example: Fetching Weibo hot searches via curl
curl "https://60s.viki.moe/v2/weibo"
For Python integrations:
pip install requests
The skill returns data in a consistent JSON format across all supported platforms.
| Field | Type | Description |
|---|---|---|
data |
Array | List of trending items found via Openclaw Skills. |
data[].title |
String | The headline or name of the trending topic. |
data[].url |
String | Direct link to the content on the original platform. |
data[].hot |
String | Popularity or heat score (if available). |
data[].rank |
Number | Current position in the trending list. |
update_time |
String | Timestamp of the last data refresh. |
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