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customer-review-aggregator

Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, and more.

245|39|Updated Oct 22, 2025
Search Tags:#marketing#reviews#sentiment#customer-feedback#competitive-intelligence
One-click install
npx skills add https://github.com/OneWave-AI/claude-skills --skill customer-review-aggregator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-review-aggregator
Source: https://github.com/OneWave-AI/claude-skills/tree/main/customer-review-aggregator
Command: npx skills add https://github.com/OneWave-AI/claude-skills --skill customer-review-aggregator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill aggregates and analyzes customer reviews from multiple platforms, performs sentiment analysis, identifies pain points, extracts marketing claims, and provides competitive comparisons to inform product and marketing strategy.

Core Features & Use Cases

  • Review Aggregation: Pull reviews from G2, Capterra, Trustpilot, App Store, Google Play, Reddit, and more.
  • Sentiment & Feature Analysis: Break down sentiment by feature and category.
  • Pain Point Identification: Rank top issues and impact.
  • Marketing Claims Library: Build evidence-backed claims with supporting quotes.
  • Competitive Comparison: Side-by-side competitor insights.

Quick Start

Request: "Aggregate 6 months of G2 and Trustpilot reviews for our product and surface top 3 pain points with suggested marketing claims."

Frequently Asked Questions about customer-review-aggregator

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

FAQPage Schema
How do I aggregate customer reviews from multiple platforms like G2, Trustpilot, and App Store?▼

Review aggregation pulls feedback from G2, Capterra, Trustpilot, App Store, Google Play, ProductHunt, Reddit, and Twitter/X into a unified dataset. This consolidates scattered customer sentiment across channels so you can analyze patterns and trends in one place without manual collection.

Can I analyze sentiment by specific product features from aggregated reviews?▼

Feature-level sentiment analysis breaks down customer feedback by individual product capabilities and categories. This reveals which features drive satisfaction or frustration, enabling product and marketing teams to prioritize improvements and messaging based on actual user perception.

What's the best way to identify pain points and top issues from customer reviews?▼

Pain point extraction ranks recurring customer issues by frequency and impact across all review sources. This surfaces actionable problems your users face, helping product teams prioritize fixes and customer success teams address common support needs proactively.

How can I build marketing claims backed by customer review data?▼

Marketing claims extraction identifies and validates product positioning statements using supporting quotes and sentiment data from reviews. This generates evidence-backed messaging that resonates with customer priorities rather than relying on unsupported assertions.

Can I compare my product against competitors using review data?▼

Competitive comparison analyzes reviews across your product and competitors side-by-side, surfacing relative strengths, weaknesses, and market positioning. This reveals competitive gaps and opportunities informed by what customers actually say about alternatives.

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