customer-review-aggregator

Aggregates and analyzes customer reviews from G2, Capterra, Trustpilot, and other platforms.

1|Updated Aug 8, 2026
One-click install
npx skills add https://github.com/th-efool/SKILLS --skill customer-review-aggregator-th-efool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-review-aggregator
Source: https://github.com/th-efool/SKILLS/tree/main/customer-review-aggregator
Command: npx skills add https://github.com/th-efool/SKILLS --skill customer-review-aggregator-th-efool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Customer feedback is scattered across review platforms like G2, Capterra, Trustpilot, and app stores, making it hard to spot sentiment trends, pain points, and competitive gaps without hours of manual reading. ## Core Features & Use Cases - Sentiment Analysis: Scores overall and feature-level sentiment across platforms with positive/negative mention counts and 0-10 scores. - Pain Point & Feature Request Detection: Clusters negative feedback by theme, ranks feature requests by mentions, urgency, and competitor coverage. - Marketing Claims & Competitor Comparison: Derives evidence-backed marketing claims with supporting quotes and builds side-by-side competitor comparison tables. - Use Case: A product marketer pastes 500 G2 and Capterra reviews for their product and two competitors, then receives a full report with sentiment breakdown, top pain points, exploitable competitor weaknesses, and a marketing claims library. ## Quick Start Analyze our G2 and Capterra reviews from the last 90 days and compare them against Competitor A to identify pain points and 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 analyze customer reviews from G2 and Capterra?▼

Provide the product name, platforms, competitors, analysis focus, and time period, then supply review data by pasting text, uploading CSV exports, or sharing URLs for WebFetch. The workflow scores sentiment, clusters pain points, and assembles a structured analysis report.

What review platforms are supported for sentiment analysis?▼

Supported platforms include G2, Capterra, Trustpilot, App Store, Google Play, ProductHunt, Reddit, and Twitter/X. Each source covers a different review type, from B2B software reviews to social sentiment.

Can I compare my product reviews against competitors?▼

Yes, provide competitor names during scoping and the analysis builds a side-by-side comparison table covering ratings, review volume, support, ease of use, and value. It also surfaces competitor weaknesses mentioned in their reviews for positioning.

How are marketing claims extracted from customer reviews?▼

Positive reviews are mined for recurring benefit statements, each claim is tied to supporting quotes with mention counts, and assigned a confidence level plus a recommended use case such as homepage copy or battle cards.

What are the limitations of URL-based review collection?▼

URL collection relies on WebFetch accessing public review pages, so platforms requiring login or blocking scrapers may not return data. In those cases, manual copy-paste or CSV export is the fallback collection method.