Douyin Rising Hotspot Viral Topic Assistant
Paste the following prompt into your AI chat to install this skill:
Please install @aiskills/douyin-realtime-hot-rise-org according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Short-form video teams often get stuck on “what should we post next.” Platform trends move quickly, and simply reading a hot list can lead to topics that are already peaking, while relying only on account history can miss emerging lanes. This skill helps content creators, operations, e-commerce, and marketing teams turn rising Douyin hotspots into discussable, actionable topic leads rather than a loose keyword dump.
How It Works
It accepts parameters such as keyword, tag, and order, supporting keyword-based hotspot tracking and category-based views. Sorting can use rank or rank_diff depending on whether the goal is popularity or momentum. The output includes:
- Rising hotspot list: keyword, category, rank change, and heat trend;
- Trend evidence: signals for early rise, sustained growth, or peak approach;
- Topic references: angles that can be turned into short-video scripts, content meetings, or lane observation.
It is best used when the goal is to convert hotspots into business actions: prioritize keywords with clear rank movement, continued rise, and fit with the account lane, then use category and trend signals to judge the follow-up window.
Boundaries
It supports topic-pool updates, quick hotspot response, and content planning meetings, but it is not a script writer and does not produce finished copy. Very broad keywords may return platform-level hotspots, while niche lanes require manual filtering. Calls depend on configured API authentication and tenant context, so treat the output as topic leads and still validate against account data, inventory, production constraints, and compliance risk.
Use Cases
- Short-video editors use keyword tracking before a content meeting to collect script angles and follow-up windows.
- E-commerce ops review category heat to filter rank-changing topics that match the product catalog.
- Marketing analysts use rank_diff sorting to judge whether a hotspot is rising, sustained, or peaking.
- Content teams sync the rising hotspot list into the topic pool for next week's video direction.
Best For
- Short-video editors who need to turn rising Douyin hotspots into script ideas and a topic pool.
- Content ops who need category, rank change, and timing signals before planning meetings.
- E-commerce ops who need rising content directions aligned with product lanes or keywords.
- Marketing analysts who need rank-diff signals to decide whether a hotspot is worth resourcing.
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