linkfox-product-title-analyze

Tokenizes and analyzes product titles to extract structured keyword patterns.

69|14|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/linkfox-ai/linkfox-skills --skill linkfox-product-title-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkfox-product-title-analyze
Source: https://github.com/linkfox-ai/linkfox-skills/tree/main/skills/linkfox-product-title-analyze
Command: npx skills add https://github.com/linkfox-ai/linkfox-skills --skill linkfox-product-title-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Tokenize and analyze product titles to extract structured keywords and attribute patterns (scene words, audience words, materials, colors, etc.) from titles retrieved in the current conversation, enabling data-driven listing optimization.

Core Features & Use Cases

  • Tokenization and counting of product title words to reveal key attributes and patterns.
  • Automatic aggregation across all retrieved products in the current conversation, including across paginated results.
  • Use cases: improve title relevance, niche discovery, competitor analysis.

Quick Start

Analyze the titles of products retrieved in this conversation and request a single-dimension keyword analysis.

Frequently Asked Questions about linkfox-product-title-analyze

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

FAQPage Schema
How do I extract scene words and audience words from product titles?

You can extract structured keyword patterns like scene words and materials from product titles by running a tokenization analysis on titles retrieved in your conversation. The tool aggregates these attributes across all paginated product results.

How does product title tokenization help with listing optimization?

Tokenization helps with listing optimization by counting words in product titles and categorizing them into structured attributes like scene words, audience words, and materials. This reveals high-frequency patterns to improve title relevance and discover niche markets.

Can I analyze competitor product titles across multiple pages of search results?

Yes, you can analyze competitor titles across paginated results. The tool automatically aggregates tokenized keywords and attribute patterns across all products retrieved in the current conversation, including paginated search results.

What is the best way to discover niche patterns from e-commerce product titles?

The best way to discover niche patterns is to tokenize and analyze product titles to extract structured attributes. Aggregating scene words, audience words, and materials reveals hidden market patterns for competitor analysis.

Can I extract multiple keyword dimensions like materials and colors from a batch of titles at once?

No, you cannot extract multiple dimensions simultaneously. The analysis supports a single dimension per request, such as extracting only materials or only scene words, and returns the results in defined fields.