A specialized tool for analyzing real-time social media hot spots and viral trends across major Chinese social platforms.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install social-trends
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 social-trends using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Social Trends skill is a powerful analytical utility designed to provide AI agents with real-time access to trending topics on platforms like Douyin, Weibo, and Xiaohongshu. By utilizing this skill within the Openclaw Skills framework, developers can empower their agents to monitor viral content, track public sentiment, and identify emerging cultural shifts as they happen. It serves as a bridge between static data and the fast-paced world of social media dynamics.
This skill is particularly valuable for users who need to automate market research or content ideation. It processes raw platform data and synthesizes it into actionable insights, making Openclaw Skills an essential part of any digital marketing or research-oriented workflow.
To use this skill, ensure your environment is configured for Openclaw Skills and has Python 3 installed. The skill relies on the bash tool to execute its core logic.
# Example of running the social trends analysis manually
python3 skills/social-trends/run.py '{"platform":"weibo", "limit":10}'
The Social Trends skill uses a simple but effective data schema to handle requests and display results.
| Parameter | Type | Required | Description |
|---|---|---|---|
| platform | string | No | The target platform (douyin, weibo, or all). Defaults to all. |
| limit | integer | No | Number of trending items to return. Defaults to 20. |
| query | string | No | Keyword filter to narrow results to specific topics. |
The skill generates a Markdown document artifact containing a list of trending topics, their rankings, and platform-specific metadata.
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