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review-audit

Extract and classify customer reviews into thematic verbatim libraries.

2|4|Updated Apr 4, 2026
Search Tags:#customer insights#brand strategy#review analysis#verbatim library#copywriting assistance
One-click install
npx skills add https://github.com/ScaleAcademy/creative-strategist-skills --skill review-audit-scaleacademy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-audit
Source: https://github.com/ScaleAcademy/creative-strategist-skills/tree/main/02-research/review-audit
Command: npx skills add https://github.com/ScaleAcademy/creative-strategist-skills --skill review-audit-scaleacademy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill delves into customer reviews to extract valuable information and actionable insights, enabling you to craft more effective copy and marketing strategies.

Core Features & Use Cases

  • Review Collection: Gather reviews from various platforms like Amazon, Trustpilot, or paste raw verbatims directly.
  • Review Scoring: Analyze and score reviews based on emotional and content criteria.
  • Bucket Classification: Organize extracted verbatims into themes such as 'Pain Before', 'Purchase Triggers', and 'Transformations'.
  • Pattern Identification: Identify patterns and recurring themes for deeper understanding.
  • Output Format: Deliver a structured verbatim library with highlighted ad-ready phrases and detailed pattern summaries.
  • Use Case: Leverage insights from customer reviews to refine personas, create targeted messages, and enhance hook development.

Quick Start

Analyze customer reviews for insights by using the 'review-audit' skill.

Frequently Asked Questions about review-audit

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

FAQPage Schema
How do I extract customer insights from product reviews for copywriting?▼

You can gather review analysis data by importing reviews directly from platforms like Amazon and Trustpilot, or by pasting raw verbatims. The system extracts and structures the text into a comprehensive verbatim library.

What is review scoring and how does it work for sentiment analysis?▼

Review scoring evaluates customer verbatims against emotional and content criteria using natural language processing. This classifies text into themes like Purchase Triggers and Transformations to reveal recurring patterns.

Can I analyze Amazon and Trustpilot reviews to identify recurring patterns?▼

Yes, you can analyze reviews from Amazon and Trustpilot alongside pasted raw verbatims. The system categorizes these reviews into thematic buckets to identify recurring patterns and deliver detailed summaries.

How do I organize raw customer verbatims into thematic buckets for marketing strategy?▼

Organize verbatims into thematic buckets by processing raw text through sentiment analysis and classification. This groups reviews into themes such as Pain Before and Transformations, outputting a structured library for brand strategy.

Does review analysis require natural language processing capabilities for bucket classification?▼

Yes, extracting and structuring customer reviews into thematic buckets requires sentiment analysis and natural language processing capabilities. This enables the system to accurately score and classify verbatims for marketing use.

What is the best way to build a verbatim library from customer reviews for ad copy?▼

Build a verbatim library by collecting, scoring, and classifying customer reviews into themes. This outputs a structured library with highlighted ad-ready phrases and pattern summaries to refine personas and enhance hook development.

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