About this skill

The problem

Short-video topic research, competitor monitoring, and sentiment review often require turning scattered public Douyin videos, creator profiles, comments, and trends into a comparable dataset. Manual search and screenshots make it hard to inspect high-engagement patterns, comment sentiment, and trend changes at scale.

How the skill works

Keyword search: Retrieve public videos by keyword, with sorting by likes or recency for sampling high-engagement content.
Creator post collection: Generate structured data around a public account's posts to compare content direction and posting cadence.
Comment and trend analysis: Fetch comment details and real-time trending lists to assess audience feedback and opportunity windows.
Log export: Save task results as JSON files, usually under the skill's logs directory, for filtering, deduplication, comparison, and downstream analysis.

Boundaries

The skill processes public Douyin data only; private, hidden, or login-gated content is not supported. It requires GUAIKEI_API_TOKEN and should be used within platform rules and permitted data-sharing limits, avoiding unauthorized redistribution.

Screenshots

Use Cases

Short-video planners pull public videos by keyword and filter recent high-like samples for topic ideation.
Competitive analysts collect public posts from benchmark accounts to compare posting cadence, captions, and like distribution.
PR specialists read comments on trending videos to summarize complaints and positive feedback into sentiment notes.
Content operations fetch real-time Douyin trends to identify rising topics and schedule timely follow-up content.

Best For

Short-video planners who need to find high-engagement topics quickly
Competitive analysts who monitor benchmark accounts' content strategy
PR or brand specialists who track user comment feedback
Social media operators who schedule trend-following content

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