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review-analyzer-skill

Generates VOC insights and executive dashboards from e-commerce review CSV or URL inputs.

109|9|Updated Mar 4, 2026
Search Tags:#ecommerce#tagging#review analysis#voc#competitive insights#dashboard generation#persona clustering
One-click install
npx skills add https://github.com/buluslan/review-analyzer-skill --skill review-analyzer-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-analyzer-skill
Source: https://github.com/buluslan/review-analyzer-skill/tree/main
Command: npx skills add https://github.com/buluslan/review-analyzer-skill --skill review-analyzer-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, jinja2, google-generativeai, apify-client, requests, beautifulsoup4, python-dotenv, tqdm, openpyxl, openpyxl, and includes references (resource) and assets (resource) components.

What problem does it solve?

Converts messy e-commerce review CSVs into structured 22-dimension labels, persona-based VOC insights, and board-ready visual dashboards so teams can act on customer voice instead of reading reviews one by one.

Core Features & Use Cases

  • 22-Dimension Smart Tagging: Extracts user demographics, scenarios, satisfaction drivers, quality/service/experience signals, market comparison, and sentiment.
  • Persona (VOC) Discovery: Builds user personas and selects representative “golden samples” to ground insights in original quotes.
  • Multi-Format Output: Produces CSV (structured data), Markdown (strategic insights), and HTML (black-gold executive dashboard).
  • Dual AI Execution Modes: Uses Claude CLI for local tagging/rationale and optionally Gemini for higher-quality report or HTML generation.

Quick Start

Ask the skill to analyze your review file, for example: Analyze the reviews in reviews.csv for 100 entries and generate the VOC insights and dashboard with the default AI Assistant signature.

Frequently Asked Questions about review-analyzer-skill

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

FAQPage Schema
How do I generate VOC insights from e-commerce review CSV files?▼

To generate VOC insights from e-commerce review CSV files, you need a tool that tags 22 review dimensions, clusters personas, and outputs a Markdown insight report with an HTML dashboard. This process automates product optimization and competitive analysis.

Can I analyze Amazon or AliExpress review URLs directly for customer feedback?▼

Yes, you can analyze Amazon or AliExpress review URLs directly. The tool accepts URL inputs alongside CSV exports to scrape e-commerce reviews and synthesize strategic recommendations for market research and product optimization.

How do I tag customer review data for sentiment and satisfaction drivers?▼

To tag customer review data for sentiment and satisfaction drivers, the tool applies 22-dimension smart tagging to extract user demographics, scenarios, and quality signals. This produces structured CSV labels for competitive insights.

Does this review analysis workflow support dual AI execution modes for report generation?▼

Yes, the review analysis workflow supports dual AI execution modes by using Claude CLI for local tagging and rationale, while optionally integrating Gemini for higher-quality Markdown report and HTML dashboard generation.

What is the best way to create executive-ready dashboards from messy review exports?▼

The best way to create executive-ready dashboards from messy review exports is using a tool that synthesizes persona-based VOC insights into a black-gold HTML visualization. This transforms raw e-commerce feedback into board-ready strategic outputs.

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