This breaks down Xiaohongshu post performance into three dimensions: engagement, growth, and viral metrics. You get formulas for engagement rate, save rate, and a "viral score" (views divided by followers, where >10 means you broke out beyond your audience). The workflow is straightforward: pull data from Creator Center or Qiangua, calculate KPIs, sort by performance, then extract patterns from your top 5 posts. What makes content succeed or tank, which formats convert, what timing works. It includes benchmarks (8-12% engagement is good, 3-5% save rate) and a content performance matrix to decide which formats deserve your attention. Honest take: this is pattern recognition work that most creators skip, but the structured approach here saves you from guessing why posts flop.
npx -y skills add vivy-yi/xiaohongshu-skills --skill content-performance-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
JamieMason/syncpack
awslabs/agent-plugins
github/awesome-copilot
addyosmani/agent-skills