review-analyst-agent

Analyze product reviews from multiple sources into sentiment and prioritized action plans.

24|2|Updated Dec 30, 2025

Search Tags:#prioritization #VOC #sentiment #issue-identification #actionable-insights #review-analysis

Ready to run

npx skills add https://github.com/michaelboeding/skills --skill review-analyst-agent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review-analyst-agent
Source: https://github.com/michaelboeding/skills/tree/main/skills/review-analyst-agent
Command: npx skills add https://github.com/michaelboeding/skills --skill review-analyst-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Use this skill to analyze product reviews, identify common issues, and prioritize improvements.

Core Features & Use Cases

Sentiment overview: summarize overall sentiment and emotional patterns across sources.
Issue identification: categorize complaints by theme, track frequency and severity, surface root causes.
Actionable recommendations: generate prioritized improvements and a concrete action plan.
Use Case: Analyze reviews from Amazon, App Store, Google Play, G2, Capterra, Reddit, and Trustpilot to guide roadmap decisions.

Quick Start

Provide a dataset or connect to your review sources; the skill will return a structured analysis with sentiment, top issues, and an actionable plan.

Frequently Asked Questions about review-analyst-agent

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

FAQPage Schema

How do I analyze product reviews from multiple sources to identify issues?▼

Analyze product reviews by aggregating data from Amazon, App Store, Google Play, G2, Capterra, Reddit, and Trustpilot to extract sentiment patterns, categorize complaints by theme, and surface root causes. The skill processes multiple sources simultaneously and returns structured sentiment overview, top complaints, and top praise in a single report.

What's the best way to prioritize product improvements based on customer feedback?▼

Prioritize improvements using a priority matrix that ranks issues by frequency and severity extracted from review analysis. The skill synthesizes complaints and feature requests across sources, then generates an actionable plan with recommended next steps ranked by impact.

Can I use review analysis to guide my product roadmap decisions?▼

Yes. This approach analyzes sentiment, identifies common issues, tracks feature requests, and produces a concrete action plan suitable for roadmap prioritization. It applies to e-commerce products, SaaS, apps, and services across all major review platforms.

How do I extract actionable insights from customer sentiment and complaints?▼

Extract insights by applying sentiment analysis and issue identification to reviews, categorizing feedback by theme and severity. The skill aggregates patterns across sources and generates prioritized recommendations with specific actions tied to identified problems.

What data do I need to start reviewing product feedback analysis?▼

Provide review data or connect to your sources: Amazon, App Store, Google Play, G2, Capterra, Reddit, or Trustpilot. The skill accepts datasets and returns structured analysis including sentiment overview, categorized issues, feature requests, and a prioritized action plan.

Does review analysis work for SaaS and services, or just e-commerce?▼

Review analysis applies to e-commerce products, SaaS, apps, and services. It aggregates feedback from all major platforms and produces the same sentiment, issue, and recommendation outputs regardless of product type.