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YYYYYZhao
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lyt-image-patterns

Extract visual patterns from product main images into testable creative briefs.

43|4|Updated May 30, 2026
Search Tags:#e-commerce#competitor analysis#creative brief#tiktok shop#visual patterns#main images
One-click install
npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-image-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lyt-image-patterns
Source: https://github.com/YYYYYZhao/Lytskill/tree/main/skills/lyt-image-patterns
Command: npx skills add https://github.com/YYYYYZhao/Lytskill --skill lyt-image-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand how a set of competitor, top-store, or high-volume product main images are being expressed, so you can turn visual patterns into testable creative ideas instead of guessing why they work.

Core Features & Use Cases

  • Sample boundary cleanup: Separates valid main-image samples from detail pages, ads, short-video covers, duplicates, and cross-category noise.
  • Pattern tagging and grouping: Labels image type, first visual focus, click reason, trust elements, localization cues, and risk points, then groups samples by category, price band, or usage scenario.
  • Formula extraction: Summarizes recurring visual structures into actionable main-image briefs and test hypotheses.
  • Use case: You upload a batch of TikTok Shop or e-commerce main images and ask for the shared visual playbook, the best test directions, and the next iteration brief.

Quick Start

Ask the skill to analyze the uploaded competitor main images, summarize their common visual patterns, and convert them into a testable main-image brief.

Frequently Asked Questions about lyt-image-patterns

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

FAQPage Schema
How do I extract visual patterns from competitor e-commerce main images?▼

Extracting visual patterns from competitor main images involves cleaning sample boundaries, tagging visual attributes like first focus and trust elements, grouping by category, and summarizing recurring structures into actionable testable creative briefs.

What is a testable creative brief for product main images?▼

A testable creative brief for product main images is an extracted visual formula summarizing recurring structures from competitor samples, converted into test hypotheses for your next design iteration rather than guessing why they work.

How do I analyze TikTok Shop main images to find common visual playbooks?▼

You analyze TikTok Shop main images by uploading a batch, separating valid samples from noise, tagging click reasons and localization cues, and grouping by usage scenario to summarize the shared visual playbook and best test directions.

Can I use this skill for localized category samples across different platforms and price bands?▼

Yes, you can use this skill for localized category samples across platforms and price bands; it groups product-card screenshots by category, price band, or usage scenario and tags localization cues to generate targeted main-image briefs.

What are the limitations of using competitor main image analysis for sales optimization?▼

A key limitation of competitor main image analysis is the strict avoidance of sales-causality claims; the skill extracts visual patterns and generates test hypotheses but cannot guarantee that specific visual attributes directly caused sales.

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