This handles brand sentiment tracking on Xiaohongshu with a three-level framework: monitoring mentions and comments in real time, analyzing sentiment patterns and trends, and coordinating responses before issues spiral. You get a classification system for positive, neutral, negative, and crisis-level sentiment (with Chinese indicators like "太棒了" vs "踩雷"), automated alert triggers when sentiment drops more than 10% in 24 hours, and a daily monitoring routine with morning, midday, and evening checks. The baseline setup is solid, measuring at least 500 comments to establish your sentiment percentage benchmarks. Best for brands running active campaigns or managing reputation risks. The monitoring infrastructure covers everything from native Xiaohongshu analytics to third-party tools like Huitun and Chanmama, plus manual tracking when you need granular control.
npx -y skills add vivy-yi/xiaohongshu-skills --skill sentiment-monitoring --agent claude-codeInstalls into .claude/skills of the current project.
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sickn33/antigravity-awesome-skills
kubesphere/kubesphere
supercent-io/skills-template