Case 04742
VOC AI — Amazon Review Intelligence. Input an ASIN, automatically scrape Amazon reviews and run AI analysis. Outputs a structured bilingual report: sentiment breakdown, top pain points, key selling points, and Listing optimization suggestions. Triggers: voc, amazon review analysis, asin analysis, voice of customer, listing optimization, pain points, selling points, review insights, amazon fba, product researchFrom its SKILL.md
npx -y skills add knownasnaffy/prompthound --skill case_04742Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
4.3 KB, 934 tokens by cl100k_base, as published. Nobody here has run it
VOC AI — Amazon Review Intelligence
Input an ASIN, AI automatically scrapes and deeply analyzes Amazon reviews, outputting a structured bilingual insight report.
Prerequisites
Ensure the browser skill is installed (used for scraping reviews):
npx skills add browserbase/skills@browser
Set your Claude API Key:
export ANTHROPIC_API_KEY="your-api-key"
Quick Start
# Basic analysis (scrapes latest 100 reviews by default)
bash ~/.agents/skills/voc-amazon-reviews/voc.sh B08N5WRWNW
# Specify review count
bash ~/.agents/skills/voc-amazon-reviews/voc.sh B08N5WRWNW --limit 200
# Specify marketplace (default: amazon.com)
bash ~/.agents/skills/voc-amazon-reviews/voc.sh B08N5WRWNW --market amazon.co.uk
# Save report to file
bash ~/.agents/skills/voc-amazon-reviews/voc.sh B08N5WRWNW --output report.md
Sample Output
╔══════════════════════════════════════════════════════╗
║ VOC AI Analysis Report ║
║ ASIN: B08N5WRWNW | Reviews Analyzed: 100 ║
║ Market: amazon.com | Generated: 2026-03-08 ║
╚══════════════════════════════════════════════════════╝
📊 Sentiment Distribution
Positive ████████████░░░░ 74% (74 reviews)
Neutral ███░░░░░░░░░░░░░ 16% (16 reviews)
Negative ██░░░░░░░░░░░░░░ 10% (10 reviews)
🔴 Top 5 Pain Points
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Short battery life (28 mentions)
"Battery drained in 2 days, very disappointed"
2. Unstable Bluetooth connection (19 mentions)
"Bluetooth keeps disconnecting randomly"
🟢 Top 5 Selling Points
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. Excellent sound quality (52 mentions)
"Amazing bass and crystal clear highs for the price"
💡 Listing Optimization Suggestions
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. [Title] Add battery capacity (e.g. 800mAh) and playtime hours
to reduce negative reviews from mismatched expectations.
2. [Images] Add a scene image showing Bluetooth range and include
pairing instructions in A+ Content.
3. [Bullets] Lead first bullet with sound quality, use authentic
customer language like "crystal clear" and "deep bass".
How It Works
① Input ASIN
↓
② browser CLI opens Amazon review pages (with pagination)
↓
③ Parse review data (rating, body, date, Verified badge)
↓
④ Claude AI deep semantic analysis
↓
⑤ Output structured bilingual report
Scripts
| File | Description |
|---|---|
voc.sh | Main entry point |
scraper.sh | Amazon review scraper (based on browser CLI) |
analyze.sh | Claude API analysis script |
Notes
- Amazon has strong anti-bot measures — configure
BROWSERBASE_API_KEYfor reliable remote browser access - Each analysis uses approximately 2,000–5,000 Claude API tokens (~$0.01–$0.03)
- Review scraping takes ~5–10 seconds per page; 100 reviews ≈ 1–2 minutes
- Please use responsibly — avoid frequent bulk scraping of the same product
Resources
What ships with it: 4 files
24.3 KB alongside SKILL.md, 3 of them executable
- analyze.shruns8.1 KB
- README.md6.5 KB
- scraper.shruns5.6 KB
- voc.shruns4.0 KB