douban-self-taste-skillCollect, refresh, normalize, and analyze the user's own Douban history for taste analysis and recommendation reasoning. Use when the task involves the user's...
Install via ClawdBot CLI:
clawdbot install xeric7/douban-self-taste-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://book.douban.com/subject/1234567/Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A streaming platform or digital library uses this skill to analyze a user's Douban history, including ratings and comments, to generate highly personalized movie, book, or music recommendations. It ensures recommendations are based on up-to-date user preferences by refreshing cache as needed, focusing on high-rated and recent items to tailor suggestions effectively.
Academic researchers or market analysts employ this skill to study individual media consumption patterns over time, analyzing categories like books and movies to identify trends, shifts in taste, and stable preferences. The skill's structured workflow and analysis priorities, such as category boundaries and recent items, support detailed longitudinal studies without manual data collection.
A social media or community platform integrates this skill to help users curate and share their Douban shelves, such as favorite movies or books, with followers. By leveraging local cache and analysis outputs, it enables users to create dynamic taste profiles, highlight high-rated items, and engage in discussions based on their media history.
Individuals use this skill to track and reflect on their media consumption habits, such as reading progress or movie-watching history, for personal growth or hobby management. The analysis outputs, including summaries of recent and low-rated items, help users identify patterns, set goals, and maintain a fresh local record of their cultural activities.
Offer a paid service where users subscribe to access detailed taste analysis and insights from their Douban data, with features like trend reports and recommendation engines. Revenue is generated through monthly or annual subscription fees, targeting enthusiasts who want deeper understanding of their media preferences.
License aggregated, anonymized taste data from users' Douban histories to entertainment companies, such as film studios or publishers, for market research and content development. Revenue comes from one-time or ongoing licensing deals, leveraging the skill's ability to normalize and analyze user data across categories.
Develop a mobile or web app that provides basic Douban history tracking and cache management for free, with premium features like advanced analysis, cross-category comparisons, and ad-free experience. Revenue is generated through in-app purchases or premium subscriptions, appealing to casual and power users alike.
💬 Integration Tip
Ensure cookie management is handled securely and transparently to maintain user trust, and regularly update scripts to adapt to Douban's site changes for reliable data crawling.
Scored Apr 19, 2026
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