Analyzes video scripts and engagement metrics to extract viral topic patterns and title formulas.
npx skills add https://github.com/jiangjiax/li-skills --skill li-analyzer
Please help me install this Agent Skill. Skill: li-analyzer Source: https://github.com/jiangjiax/li-skills/tree/main/li-analyzer Command: npx skills add https://github.com/jiangjiax/li-skills --skill li-analyzer
When your content performance is unclear, it helps you review video scripts and engagement metrics to identify what actually drives爆款 outcomes and turn them into reusable topic templates.
Ask the assistant: Analyze my content data review and break down which of my videos are most likely to go viral, then generate an actionable report with reusable templates.
High-intent search queries and answers about installing and using this skill.
To analyze video engagement metrics for viral patterns, you compare script content against stats like likes and follower growth, classify videos into viral tiers, and extract reusable title formulas and structural cues to identify what drives outcomes.
Cross-creator benchmarking aggregates existing viral topic reports from multiple sources to identify shared title patterns and decision frameworks. It improves content strategy by comparing performance across different sources instead of isolated single-creator data reviews.
Yes, you can benchmark video scripts against other creators using the full mode analysis. It aggregates cross-source viral topic reports to identify shared title formulas, opening cues, and prioritized topic inspiration checklists for your content strategy.
You classify videos by applying engagement thresholds like likes to assign viral tiers, then categorize topic types into tools, celebrities, viewpoints, experience, or methods. This structured classification highlights high-performing content categories.
You need to calculate key engagement ratios like the collection-to-like ratio and follower growth rate from your local content stats. Computing these metrics allows the analyzer to categorize viral potential and generate actionable topic rules.
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