lyt-problem-clarifier

Clarify vague TikTok Shop performance problems by identifying the earliest blocking layer.

43|4|Updated May 30, 2026
One-click install
npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-problem-clarifier
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lyt-problem-clarifier
Source: https://github.com/YYYYYZhao/Lytskill/tree/main/skills/lyt-problem-clarifier
Command: npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-problem-clarifier

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you turn vague cross-border e-commerce complaints into diagnosable questions instead of jumping to conclusions. It is designed for TikTok Shop and related commerce issues such as no orders, low traffic, low ad spend, sudden drops, and video performance problems.

Core Features & Use Cases

  • Problem Decomposition: Breaks broad statements like "why am I not getting orders" into object, time window, channel, and failure point.
  • Targeted Follow-up: Asks only the minimum evidence needed, prioritizing recent changes and the first broken step in the funnel.
  • Commerce-Specific Guardrails: Focuses on store, product, ad, content, logistics, supply chain, and compliance contexts, and rejects unrelated non-commerce questions.
  • Use Case: A seller says their GMV Max campaign is not spending; this Skill asks for runtime, budget, ROI target, spend, exposure, clicks, product history, and creative availability before any diagnosis.

Quick Start

Ask the lyt-problem-clarifier skill to help me identify the earliest blocking layer in this TikTok Shop problem and tell me what evidence I should provide next.

Frequently Asked Questions about lyt-problem-clarifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I clarify vague TikTok Shop problems like no orders or low traffic?

To clarify vague TikTok Shop problems like no orders or low traffic, you decompose the issue by object, time window, channel, and failure point to isolate the earliest blocking layer before attempting any diagnosis.

What diagnostic questions should I ask when my GMV Max campaign is not spending?

For a GMV Max campaign not spending, you should ask targeted funnel-based questions about runtime, budget, ROI target, spend, exposure, clicks, product history, and creative availability to gather minimum evidence.

How do I find the first broken step in my cross-border ecommerce conversion funnel?

To find the first broken step in your cross-border ecommerce conversion funnel, prioritize recent changes and apply minimal-evidence questioning to locate the exact failure point instead of jumping to conclusions.

Can I use this to diagnose sudden drops in TikTok Shop video performance?

Yes, you can diagnose sudden drops in TikTok Shop video performance by applying funnel-based questioning to isolate whether the issue stems from content, advertising, traffic, or operations scenarios.

Does this problem clarification approach work for non-commerce questions?

No, this problem clarification approach does not work for non-commerce questions because it applies commerce-specific guardrails that focus strictly on store, product, ad, content, logistics, supply chain, and compliance contexts.