About this skill

Problem

When operators, creators, or market teams need to check whether a topic is gaining traction on Douyin, a plain keyword search often hits three issues: overly broad terms produce unfocused results, unclear time filters make recent performance hard to compare, and empty results leave no useful fallback. This skill turns a keyword + date range query into a structured workflow that returns comparable engagement metrics.

How It Works

Core capabilities include:
- Viral works search: retrieve works by keyword, sorted by likes, with fields such as title, author, like_count, comment_count, share_count, collect_count, and publish_time.
- Date filtering: supports absolute dates, relative dates, and date ranges; vague terms such as recent remain unrestricted to avoid misparsing.
- Broad-term expansion: for wide terms like fashion or food, it generates about 10 narrower terms and waits for user confirmation before running the query.
- Fallback recommendations: when results are scarce or empty, it can surface recent hot works and hot topics to reduce dead ends.
The key flow is to extract a specific direction from the user request, call the API for articles, latestHotArticles, and hotTopics, then present the top 20 works in a table and prompt for the remaining rows when more data exists.

Boundaries

This skill fits topic monitoring, competitor content review, and hotspot retrospectives. It is not a bulk account scraper, a platform-risk bypass tool, or a precise commercial reporting system. It requires a valid REDFOX_API_KEY, and broad keywords should be confirmed through expansion terms to keep results aligned with intent.

Screenshots

Use Cases

A video editor reviews high-like, high-comment works in a niche over the past 7 days before a topic meeting.
A brand content lead compares engagement data for campaign-related topics across a specific date range for retrospectives.
A market analyst expands a broad keyword into narrower terms to inspect recent viral works and hot topics in a category.
An account operator subscribes to daily keyword pushes to track new high-engagement works and prepare daily report material.

Best For

Content editors who need to find recent high-like and high-comment works in a niche to judge topic heat.
Brand or e-commerce content operators who need date-range comparisons of topic engagement for planning and retrospectives.
Market researchers or competitive analysts who need to expand broad directions into narrower terms and track viral works.
Data analysts who need structured work fields and hot topics for cleaning, modeling, or reporting.