Douyin Real-Time Traffic Dashboard

Problem context

For Douyin content operations, teams often need to answer which content categories are currently receiving platform traffic. Selecting topics by intuition can push resources into declining or overcompetitive directions. douyin-traffic-dashboard targets this by turning traffic allocation, category share, and hotspot counts into a structured context for track-level judgment and content planning.

How it works

The skill usually takes business background, goals, and analysis objects, then calls a backend API to return structured traffic signals:
- Platform traffic distribution: shows heat share and hotspot counts across content categories;
- Category hierarchy: helps identify where traffic is concentrated at major or subcategories;
- Track signals: provides prioritized directions for content matrix, topic pools, and operations review.
In practice, it works best as decision input: inspect high-share and high-hotspot categories first, then decide whether to invest based on account capability, supply chain, monetization, and conversion path, rather than directly replacing specific viral-topic judgment.

Boundaries

The output is platform-level directional signal, not a guarantee that a category fits a specific account. It does not parse share links and does not replace hotspot filtering tools, competitor analysis, or commercial data systems. For execution, add account positioning, content cost, conversion design, and compliance risk assessment.