How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/nexscope-ai/amazon-skills --skill amazon-competitor-monitoringBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Amazon Competitor Monitoring 🔍
Track competitor strategies, pricing changes, and market opportunities. No API key — works out of the box.
Installation
bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-competitor-monitoring -gCapabilities
- Price monitoring: Track competitor pricing changes, discount patterns, and Buy Box rotation
- Inventory tracking: Monitor stock levels, restock patterns, and out-of-stock opportunities
- Product launches: Detect new competitor products and category expansions
- Review intelligence: Analyze review velocity, rating changes, and sentiment shifts
- Advertising insights: Identify competitor ad strategies and keyword targeting patterns
- Performance benchmarking: Compare your metrics against competitor baselines
- Multi-marketplace support: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
Usage Examples
Users can ask naturally. Examples:
Monitor competitor ASIN B08XYZ123 for pricing changes on Amazon USTrack the top 5 competitors in portable blenders category — alert me for price drops over 10%Analyze competitor pricing strategy for ASIN B09ABC456 over the last 90 daysSet up monitoring for yoga mat category — track new launches and inventory patternsCompare my product B0DEF789 against top 3 competitors: pricing, reviews, and BSR performanceWorkflow
Step 1: Identify Competitors
Use web_search to find competitor products:
- Search
"[product category]" site:amazon.com— identify top products by relevance - Search
"[your main keyword]" amazon best sellers— find category leaders - Extract ASINs, current prices, ratings, and BSR data from search results
Step 2: Baseline Data Collection
For each competitor ASIN, use web_fetch to gather current state:
- Product title and current price
- Best Seller Rank and category position
- Customer rating and review count
- Availability status (in stock/low stock/out of stock)
- Prime eligibility and shipping options
Step 3: Historical Context Research
Use web_search to understand competitor patterns:
- Search
"[ASIN] price history discount"— find pricing pattern information - Search
"[brand] new product launch amazon"— detect launch patterns - Search
"[ASIN] reviews complaints issues"— identify competitor weaknesses
Step 4: Competitive Analysis Report
Synthesize findings into actionable insights following the output format below.
Output Format
Present the final report in this structure:
## Competitor Analysis Report: [Category]
**Marketplace:** Amazon [US/UK/DE/...] | **Analysis Date:** [current date]
**Competitors Analyzed:** [count] | **Monitoring Period:** [timeframe]
### 1. Pricing Intelligence
| ASIN | Product | Current Price | Price Change | Alert Status |
|------|---------|---------------|--------------|--------------|
| B08ABC123 | [Competitor A] | $19.99 | ↓ 20% (30d) | 🔴 Major Drop |
| B09DEF456 | [Competitor B] | $34.99 | → Stable | 🟢 Normal |
| B0GHI789 | [Competitor C] | $27.50 | ↑ 5% (7d) | 🟡 Minor Rise |
**Price Range:** $19.99 - $34.99 | **Average:** $27.49
### 2. Inventory & Availability
| ASIN | Stock Status | Restock Pattern | Opportunity Window |
|------|-------------|-----------------|-------------------|
| B08ABC123 | In Stock | Weekly | Low |
| B09DEF456 | Low Stock (3 left) | Monthly | High - Stock Out Risk |
| B0GHI789 | Out of Stock | Unknown | High - Market Gap |
### 3. Performance Metrics
| ASIN | BSR | Rating | Reviews | Review Velocity |
|------|-----|--------|---------|----------------|
| B08ABC123 | #156 | 4.3★ | 1,247 | 15/week |
| B09DEF456 | #89 | 4.6★ | 2,891 | 8/week |
| B0GHI789 | #2,456 | 4.1★ | 456 | 3/week |
### 4. Market Opportunities
**Immediate Actions:**
- Price gap at $22-25 range (no strong competitor)
- Inventory opportunity during Competitor C stock-out
- Feature gap: competitors lack [specific feature]
**Strategic Insights:**
- Market leader vulnerable on durability complaints
- Premium segment emerging above $35
- Seasonal demand increase detected
**Recommended Monitoring Alerts:**
- Price drops >10% in 7-day period
- Stock-out events for top 3 competitors
- New product launches in category
- Review velocity spikes (>2x normal)Integration with Other Skills
This skill works well when chained with other skills from the Nexscope Amazon-Skills repository.
With amazon-sales-estimator
bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-sales-estimator -gStep 1: "Monitor competitors B08ABC123, B09DEF456"
→ amazon-competitor-monitoring provides pricing and BSR data
Step 2: "Estimate monthly sales for those competitors"
→ amazon-sales-estimator calculates revenue benchmarksWith amazon-keyword-research
bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -gStep 1: "Find competitor keyword strategies for yoga mat"
→ amazon-keyword-research reveals keyword gaps
Step 2: "Monitor top competitors in that keyword space"
→ amazon-competitor-monitoring tracks their performanceLimitations
This skill uses publicly available Amazon data and web search results. It cannot access real-time pricing APIs, historical BSR data, or automated alerts. For live competitor monitoring with automatic notifications and deeper analytics, check out [Nexscope](https://www.nexscope.ai/?co-from=skill) — Your AI Assistant for smarter E-commerce decisions.
Built by [Nexscope](https://www.nexscope.ai/?co-from=skill) — research, validate, and act on e-commerce opportunities with AI.
