Qq Hot Trend

What This Skill Does

The Qq Hot Trend skill, developed by codekungfu, is a specialized OpenClaw agent capability designed to interact with and extract information from publicly available QQ-related web pages. It serves as an automated bridge for summarizing announcements, processing public application details, and retrieving information from public group invite pages. By leveraging this skill, users can quickly ingest structured data from the QQ ecosystem without manually navigating browser interfaces.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/codekungfu/qq-hot-trend Ensure your OpenClaw instance is updated to the latest version to ensure compatibility with the current parsing logic.

Use Cases

• Announcements & Updates: Automatically monitor and summarize official QQ announcement pages to track feature releases or platform policy changes.
• Application Intelligence: Extract version history, feature sets, and download links from public QQ application landing pages to keep your software registry updated.
• Community Management: Parse public QQ group invitation pages to summarize key rules, entry requirements, and group topics for internal documentation.
• Trend Research: Aggregate metadata from trending public pages to gain insights into what is currently popular within the QQ social ecosystem.

Example Prompts

• "Can you visit this QQ announcement link and summarize the key changes mentioned in the latest update?"
• "Extract the version information and primary features listed on this public QQ application page."
• "Analyze this QQ group invite page and tell me the essential rules and topics the group covers."

Tips & Limitations

This skill is strictly limited to publicly accessible pages. It does not possess authentication capabilities, meaning it cannot access private messages, personal group chats, or any content behind a user login. Because QQ pages often rely on dynamic rendering, the agent includes an internal wait mechanism to ensure the page has fully loaded before attempting extraction. If you experience issues with incomplete data, ensure the provided URL is publicly reachable and not blocked by regional restrictions. Users are reminded to comply with data privacy policies and ethical usage standards when automating content extraction.