Diagnose product page issues affecting clicks, add-to-cart, and conversion.
npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-page-diagnosis
Please help me install this Agent Skill. Skill: lyt-page-diagnosis Source: https://github.com/YYYYYZhao/Lytskill/tree/main/skills/lyt-page-diagnosis Command: npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-page-diagnosis
This Skill helps you figure out whether a product main image or detail page is failing because the page is unclear, misleading, weak at building purchase reasons, or missing trust and objection-handling evidence.
Ask the lyt-page-diagnosis skill to review my uploaded product image or detail page, tell me what can be verified from the page itself, and request the minimum additional data needed before making a conversion diagnosis.
High-intent search queries and answers about installing and using this skill.
To diagnose product page issues affecting TikTok Shop conversion, inspect main images, product cards, and detail pages to identify unclear messaging, weak click reasons, or missing trust evidence. This separates image-only issues from actual add-to-cart and purchase problems.
Low add-to-cart and purchase conversion despite traffic often occurs because the product page lacks trust-building evidence, fails to handle objections, or provides misleading information. Diagnosing this requires validating metrics, sample size, and time windows before assigning causality.
The best way to review a product main image for weak click reasons is to perform image forensics and evidence gating, checking if the page visibly supports purchase decisions or if critical product recognition elements are missing.
To plan a single-variable test for ecommerce detail page revisions, translate diagnosis findings into prioritized fixes and validation hypotheses, isolating one variable at a time to accurately measure its impact on click and purchase conversion.
Yes, you can compare your product page against competitors to find conversion issues by inspecting competitor pages to identify what is visibly present versus unknown, ensuring fair comparison setups and validating metric meanings before drawing conclusions.
Before making a conversion diagnosis on a cross-border ecommerce page, you need weekly traffic data, the right metrics, adequate sample size, and defined time windows alongside uploaded product images to determine if the main problem is unclear recognition or insufficient evidence.
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