Douyin Hot Topic Tracking Assistant
Paste the following prompt into your AI chat to install this skill:
Please install @aiskills/douyin-sentiment-dashboard-org according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
After publishing a Douyin video, useful signals are often buried in raw comments. You need to tell quickly whether the reception is positive, tentative, or risky, what users are actually asking, and which topic, reply, or conversion move to adjust next.
How It Works
Given a videoUrl, the skill analyzes one video or note by resolving the share link, creating an analysis task, and polling until it finishes. It turns comment signals into a structured readout: overall sentiment, one-line summary, high-frequency requests, representative comments, user-profile cues, intent signals, public-opinion risk, and operational recommendations.
It can help you convert the result into:
- Comment-area conclusion: focus and risk
- Feedback breakdown: needs, intent, content gaps
- Ops guidance: next topic, reply strategy, or conversion follow-up
Boundaries
It fits creators, operations teams, brands, and e-commerce users who already have a clear link and business goal. It is better for post-publish review, comment insight, and decision support, not for generating a full video script or replacing human judgment. Comment volume and sentiment can shift, so validate conclusions against your account positioning and conversion goals.
Use Cases
- After launch, judge comment sentiment and risk.
- Review a benchmark Douyin link for demand and intent.
- Turn post-publish comments into next topic and replies.
- Check a brand video for risk and reply strategy.
Best For
- Creators reviewing post-publish comment feedback.
- Operators turning comment signals into topics.
- Brand teams checking campaign-video risk.
- E-commerce teams spotting purchase intent.
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