$npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-trending-productsTrending products and rising categories discovery for Amazon sellers. Analyzes Best Seller Rank patterns, seasonal trends, new release momentum, and emerging niches. Identifies product opportunities before they peak. Use when the user asks about what's trending on Amazon, hot pro
| 1 | # Amazon Trending Products 📈 |
| 2 | |
| 3 | Discover trending products and rising categories on Amazon. Spot opportunities before they peak. |
| 4 | |
| 5 | ## Installation |
| 6 | |
| 7 | ```bash |
| 8 | npx skills add nexscope-ai/Amazon-Skills --skill amazon-trending-products -g |
| 9 | ``` |
| 10 | |
| 11 | ## Capabilities |
| 12 | |
| 13 | - **BSR trend analysis**: Monitor Best Seller Rank momentum and acceleration patterns |
| 14 | - **Seasonal trend identification**: Detect seasonal spikes and timing opportunities |
| 15 | - **New release tracking**: Find products gaining traction in their first 90 days |
| 16 | - **Category growth analysis**: Identify expanding subcategories with room for new entrants |
| 17 | - **Demand forecasting**: Predict trend continuation vs. fad burnout |
| 18 | - **Competition assessment**: Evaluate market saturation per trending niche |
| 19 | - **Multi-marketplace support**: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR |
| 20 | |
| 21 | ## Usage Examples |
| 22 | |
| 23 | Users can ask naturally. Examples: |
| 24 | |
| 25 | ``` |
| 26 | What products are trending on Amazon US right now? |
| 27 | ``` |
| 28 | |
| 29 | ``` |
| 30 | Find trending kitchen products under $50 for Q4 2024 |
| 31 | ``` |
| 32 | |
| 33 | ``` |
| 34 | Show me emerging niches in fitness equipment on Amazon |
| 35 | ``` |
| 36 | |
| 37 | ``` |
| 38 | What seasonal products should I prepare for spring 2025? |
| 39 | ``` |
| 40 | |
| 41 | ``` |
| 42 | Analyze trending beauty products on Amazon UK |
| 43 | ``` |
| 44 | |
| 45 | ``` |
| 46 | Find viral TikTok products that are selling well on Amazon |
| 47 | ``` |
| 48 | |
| 49 | ## Workflow |
| 50 | |
| 51 | ### Step 1: Identify Trending Categories |
| 52 | |
| 53 | Use `web_search` to gather trending signals: |
| 54 | |
| 55 | 1. Search `"Amazon best sellers 2024 trending products"` — identify current hot categories |
| 56 | 2. Search `"Amazon movers and shakers [category]"` — find products with BSR momentum |
| 57 | 3. Search `"viral products Amazon TikTok trending"` — capture social media driven trends |
| 58 | 4. Search `"Amazon new releases [category] best sellers"` — spot emerging winners |
| 59 | |
| 60 | **What to extract:** |
| 61 | - Category names with growth indicators |
| 62 | - Specific products showing rapid BSR improvement |
| 63 | - Price ranges of trending items |
| 64 | - Common features/benefits trending upward |
| 65 | |
| 66 | ### Step 2: Analyze BSR Patterns |
| 67 | |
| 68 | For each trending product/category identified: |
| 69 | |
| 70 | 1. **Search for BSR data**: `"[product] Amazon BSR rank Best Seller"` |
| 71 | 2. **Look for momentum indicators**: |
| 72 | - "moved up X positions" |
| 73 | - "climbed from rank X to Y" |
| 74 | - "new to best sellers" |
| 75 | - "rapid rise in popularity" |
| 76 | |
| 77 | **BSR Momentum Scoring (1-10):** |
| 78 | - 9-10: New product jumping 1000+ BSR positions in 30 days |
| 79 | - 7-8: Established product climbing 500+ positions |
| 80 | - 5-6: Steady upward trend over 60+ days |
| 81 | - 3-4: Moderate growth or seasonal recovery |
| 82 | - 1-2: Declining or stagnant BSR |
| 83 | |
| 84 | ### Step 3: Seasonal Trend Analysis |
| 85 | |
| 86 | Use `web_fetch` on Google Trends for timing validation: |
| 87 | |
| 88 | ``` |
| 89 | https://trends.google.com/trends/explore?q=[trending product]&geo=US |
| 90 | ``` |
| 91 | |
| 92 | **Seasonal Pattern Classification:** |
| 93 | - **Evergreen trends**: Consistent growth over 12+ months |
| 94 | - **Seasonal spikes**: Clear annual peaks (holiday, summer, back-to-school) |
| 95 | - **Viral cycles**: Sharp rise then plateau (TikTok trends, fads) |
| 96 | - **New category emergence**: First-time search volume growth |
| 97 | |
| 98 | **Timing Recommendations:** |
| 99 | - If seasonal: "Launch 2-3 months before historical peak" |
| 100 | - If viral: "Move fast - trend may peak in 60-90 days" |
| 101 | - If evergreen: "Sustainable opportunity with growing baseline demand" |
| 102 | |
| 103 | ### Step 4: Competition & Opportunity Assessment |
| 104 | |
| 105 | For each trending area, evaluate market saturation: |
| 106 | |
| 107 | 1. **Search competition density**: `"[trending product]" site:amazon.com` |
| 108 | 2. **Analyze top sellers**: Price range, review counts, dominant brands |
| 109 | 3. **Identify gaps**: Underserved price points, missing features, poor reviews |
| 110 | |
| 111 | **Market Opportunity Matrix:** |
| 112 | ``` |
| 113 | High Demand + Low Competition = 🟢 Golden Opportunity |
| 114 | High Demand + High Competition = 🟡 Requires Differentiation |
| 115 | Medium Demand + Low Competition = 🟡 Niche Play |
| 116 | Low Demand + High Competition = 🔴 Avoid |
| 117 | ``` |
| 118 | |
| 119 | ### Step 5: Trend Sustainability Analysis |
| 120 | |
| 121 | Distinguish between lasting trends and temporary fads: |
| 122 | |
| 123 | **Sustainable Trend Indicators:** |
| 124 | - Solving genuine long-term problems |
| 125 | - Multiple use cases and demographics |
| 126 | - Industry/technology shift driving adoption |
| 127 | - Growing ecosystem of related products |
| 128 | |
| 129 | **Fad Warning Signs:** |
| 130 | - Single viral moment driving demand |
| 131 | - Narrow demographic appeal |
| 132 | - No clear functional advantage |
| 133 | - Copycat products flooding market |
| 134 | |
| 135 | ## Output Format |
| 136 | |
| 137 | ### Trending Products Discovery Report |
| 138 | |
| 139 | **🔥 Top 5 Trending Opportunities** |
| 140 | |
| 141 | For each trending area, provide: |
| 142 | |
| 143 | **1. [Category/Produ |