Today's Agent Skill: Customer Review Aggregator and Sentiment Report
What It Does
Customer reviews are the most unfiltered market research available to a small business, but most owners only look at their star rating rather than reading for patterns. A single angry review is noise; the same complaint appearing in 15 reviews is a fixable operational problem. This skill aggregates a batch of reviews from any platform, identifies recurring themes, scores your overall sentiment, and generates a prioritized action plan based on what customers are actually telling you.
How It Works
The agent processes a batch of pasted customer reviews, tags each one with recurring themes (product quality, customer service, speed, price/value, communication, ease of use), and separates positive signals from pain points. It calculates an overall sentiment score, flags any individual reviews that describe specific operational failures requiring follow-up, and produces a three-item action plan ranked by how frequently each issue appears.
How to Deploy It
Paste your reviews directly into Claude Code, Gemini CLI, Cursor, or Windsurf and run this skill. Copy reviews from Google, Yelp, Facebook, or any platform — no special formatting required. For best results, analyze at least 15-20 reviews at a time to identify reliable patterns rather than individual opinions.
SKILL.md — Ready to Deploy
## Description
Aggregates a batch of customer reviews, identifies recurring themes, scores overall sentiment, flags specific operational failures, and produces a prioritized action plan so a small business owner knows exactly what to improve.
## Trigger
Run when the user pastes in a batch of customer reviews and asks "what are customers saying about me?", "what should I fix?", or "summarize my customer feedback." Also trigger on "analyze my reviews" or "what do my reviews say."
## Input
- Customer reviews pasted directly (from Google, Yelp, Facebook, or any platform — plain text is fine)
- Optional: date range, star rating filter, or specific product or service to focus on
## Steps
1. Count total reviews provided and calculate average star rating if ratings are included.
2. Tag each review with one or more themes from: Product Quality, Customer Service, Speed or Delivery, Price and Value, Communication, Cleanliness, Ease of Use, Staff Attitude.
3. Count positive and negative mentions for each theme across all reviews.
4. Identify the top 3 Positive Signals (themes customers praise most often) and the top 3 Pain Points (themes customers complain about most often).
5. Flag any revCopy the full SKILL.md and drop it into your agent's skills directory to activate this skill.