A specialized automation tool for extracting metadata and summarizing public course and column content from the Dedao (iGetGet) platform.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dedao
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 dedao using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Dedao Hot Trend skill is a technical bridge between AI agents and the iGetGet knowledge platform. As a part of the Openclaw Skills ecosystem, it enables the automated retrieval of public-facing information such as course catalogs, lecturer details, and key viewpoints from professional columns. It is designed to help users digest high-quality educational content efficiently by transforming web-based information into structured data summaries.
This skill strictly operates within the boundaries of public data, ensuring that it does not bypass paywalls or access restricted content. By leveraging this tool, developers can build workflows that monitor educational trends and synthesize expert knowledge from one of China's leading intellectual platforms.
To deploy this skill within your AI agent environment, use the standard installation procedure for Openclaw Skills. Run the following command in your terminal:
openclaw install dedao-hot-trend
Ensure your agent has the necessary permissions to access external web domains. No specific API keys are required as the skill focuses on public web data extraction.
The skill organizes extracted information into a consistent schema for easy integration:
| Data Category | Fields Extracted |
|---|---|
| Course Info | Name, Lecturer, Duration, Release Date, Intro, URL |
| Column Insights | Name, Author, Update Frequency, Core Viewpoints, URL |
| Topic Collections | Topic Title, Item List, Collection Time, Source URL |
All data is timestamped to ensure the relevance of the retrieved information.
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