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amazon-review-analyzer

Agent skill fromnexscope-ai/Amazon-Skills

Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies. Use when the user asks about review analysis, customer feedback, product complaints, sentiment analysis, or what customers think about products.

How to install amazon-review-analyzer

install amazon-review-analyzer
# install the Amazon-Skills pack with the skills CLI
npx skills add nexscope-ai/Amazon-Skills

# or add only this skill to Claude Code: copy the folder

amazon-review-analyzer/

# into

~/.claude/skills/amazon-review-analyzer/ (all projects)

.claude/skills/amazon-review-analyzer/ (one project)

amazon-review-analyzer/SKILL.md

MITFull file
1# Amazon Review Analyzer 💬
2
3Transform customer reviews into competitive intelligence and product improvement roadmaps.
4
5## Installation
6
7```bash
8npx skills add nexscope-ai/Amazon-Skills --skill amazon-review-analyzer -g
9```
10
11## Usage Examples
12
13**Competitor review analysis:**
14```
15"Analyze reviews for competitor yoga mats - what are customers complaining about?"
16```
17
18**Product improvement insights:**
19```
20"What do customers love/hate about wireless earbuds under $100?"
21```
22
23**Market opportunity identification:**
24```
25"Find unmet needs in the home security camera category from reviews"
26```
27
28## Core Capabilities
29
30### 1. Sentiment Pattern Analysis
31- Star rating distribution analysis
32- Positive vs negative theme extraction
33- Emotional sentiment scoring
34- Satisfaction trend identification
35
36### 2. Complaint Mining & Prioritization
37- Recurring complaint identification
38- Issue severity ranking by frequency
39- Quality vs usability problem separation
40- Return/refund trigger analysis
41
42### 3. Feature Request Extraction
43- Customer-suggested improvements
44- Unmet need identification
45- Feature demand prioritization
46- Innovation opportunity mapping
47
48### 4. Competitive Review Intelligence
49- Cross-competitor sentiment comparison
50- Alternative product mentions
51- Switching behavior patterns
52- Market gap identification
53
54## How It Works
55
56### Step 1: Review Data Collection
57*Using web search and Amazon review mining*
58
59Gather comprehensive review data:
60- Sample recent reviews across rating levels
61…

Excerpt shown under the repository's MIT license.

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