Kuaishou Short Video Sentiment Dashboard
Paste the following prompt into your AI chat to install this skill:
Please install @user_e821a537/kuaishou-sentiment-dashboard-1 into your AI assistant according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
After a Kuaishou short video is published, teams often face a pile of comments without a quick signal: is the content accepted, contested, or turning into a reputational risk? Which comments reveal real demand, which are only emotional reactions, and what should be done next: revise the topic, reply to comments, or build a conversion path? This skill turns “reading comments” into an executable analysis task.
How It Works
The main input is videoUrl, usually a Kuaishou share link or video ID, such as https://v.kuaishou.com/xxxxxx. The script handles three steps automatically: parsing the link, creating an analysis task, and polling until results are returned. The output emphasizes overall sentiment, high-frequency requests, representative comments, user-profile clues, discussion focus, conversion-handling directions, and optimization suggestions.
Boundaries
It is best used for post-publish review when a specific content object is available, not as a generic short-video diagnosis tool. Without a parseable Kuaishou link, the analysis may lack context. If the goal is cross-platform monitoring or automated comment reply, it does not directly replace downstream action systems. The output is mainly for internal review and strategy breakdown, not automatic publishing or real-time crisis control.
Use Cases
- After publishing a Kuaishou short video, ops uses comment sentiment and discussion focus to assess reputation risk.
- While reviewing a Kuaishou seeding video, brand teams extract high-frequency requests and conversion-handling clues.
- When choosing the next content topic, creators infer real user concerns from representative comments.
- After evaluating a Kuaishou sales video, e-commerce teams identify purchase intent and content gaps.
Best For
- Kuaishou short-video operators who review published comments and turn sentiment and discussion focus into reply strategies.
- Brand content planners who assess reputation risk after seeding videos and extract follow-up topic directions.
- E-commerce growth owners who read Kuaishou sales-video comments to identify purchase intent, handling gaps, and conversion paths.
- Creators who summarize representative comments after publishing to find real user concerns and content gaps.
Related Skills
Fetches Baidu Hot Search Top 10 titles using web_fetch first, validates same-day data, and falls back to browser automation when stale.
Generates an evening A-share policy and trading opportunity daily report by collecting same-day index, policy, and capital data, then applying a fixed template to highlight beneficiary sectors, drivers, and price directions.
Maps natural-language TikTok requests to KeyAPI REST scenarios, validates endpoints against docs, and executes data queries and analysis.
Extract city-specified AI jobs from BOSS Zhipin, save CSV/table data, mark new postings, and summarize salary trends, application advice, and HTML reports.