lyt-product-selection

Diagnose cross-border ecommerce product selection stages and build testable candidate directions.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps cross-border ecommerce operators move from vague intent to a structured product-selection direction when they do not yet know what to sell. It turns broad questions about countries, categories, channels, supply sources, and starting constraints into a testable shortlist instead of a random product guess.

Core Features & Use Cases

  • Stage Diagnosis: Identifies whether the user is at the "no product", "category choice", "direction only", "candidate pool building", or "supplier-first" stage.
  • Boundary Setting: Narrows the search by budget, capability, platform, logistics, risk tolerance, and exclusion criteria before any product recommendation is made.
  • Candidate Direction Building: Produces at least three distinct product directions, compares them against user constraints, and prepares a candidate pool for downstream validation.
  • Use Case: A seller who only knows they want to enter TikTok Shop Malaysia can use this Skill to decide whether to start with content-led, ad-led, supply-led, or product-card-led testing and what information to collect next.

Quick Start

Ask the skill to diagnose your current stage, constraints, and target market, then help you build three distinct product directions and a candidate pool for validation.

Frequently Asked Questions about lyt-product-selection

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

FAQPage Schema
How do I start cross-border ecommerce product selection when I have no product ideas?

Cross-border ecommerce product selection from zero begins with stage diagnosis to identify your starting point, then applies boundary setting using budget, logistics, and platform constraints to produce testable candidate directions instead of random guesses.

What is the best way to build a candidate pool for TikTok Shop market selection?

TikTok Shop market selection candidate pool building requires narrowing by channel fit and risk tolerance, then generating at least three distinct product directions compared against your supply constraints to prepare for downstream validation.

Can I use this product selection process for platforms other than TikTok Shop?

Yes, the product selection process applies to TikTok Shop and other cross-border ecommerce scenarios involving category choice, market selection, channel fit, and supply constraints, making it platform-agnostic for validation workflows.

How do I narrow down category selection for cross-border ecommerce with a limited budget?

Category selection with budget constraints uses boundary setting to filter by capability, logistics, and exclusion criteria before any recommendation, ensuring the candidate directions fit your starting capital and risk tolerance.

What stages does cross-border product selection diagnosis cover before building a candidate pool?

Product selection diagnosis covers five stages: no product, category choice, direction only, candidate pool building, and supplier-first, each requiring different boundary conditions and comparative filtering before producing testable outputs.

Why does my cross-border product selection direction fail downstream validation?

Product selection directions fail validation when boundary setting is skipped—without filtering by platform fit, supply constraints, and risk tolerance, candidate pools lack the comparative structure needed for testable downstream handoff.