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Score whether a niche is worth entering. Triggers: should I enter, go/no-go, niche score, entry barrier, saturated market. Use for entry decisions, not broad overview, market share, or raw demand validation alone.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | ecommerce.niche-evaluator |
| version | 3.1.0 |
| description | Score whether a niche is worth entering. Triggers: should I enter, go/no-go, niche score, entry barrier, saturated market. Use for entry decisions, not broad overview, market share, or raw demand validation alone. |
| allowed-tools | ["Bash","Read","Write"] |
IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always
cdinto this directory before running any command. Do NOT use relative paths or shell shortcuts like~in paths, as they may not be resolved by the execution environment.
Before running this skill, if the user provides a broad product category, niche, keyword, market idea, or trend topic, first identify:
Use this market understanding to choose keywords, filters, regions, comparison scope, and analysis dimensions before executing the script.
Is this niche worth entering?
Quantitatively evaluate whether a niche is worth entering using multi-platform data.
— Is this niche worth entering?
| Source | Endpoint | Data |
|---|---|---|
| Amazon Search | /api/v1/tools/research/amazon/search | Products, prices, reviews, BSR |
| Jungle Scout | /api/v1/tools/jungle-scout/keywords/by-keyword | Search volume, competition metrics |
| Keepa | /api/v1/tools/research/keepa/productSeries | Historical BSR, price trends |
| Google Trends | /api/v1/tools/research/googleTrend/getTrendByKeys | Trend momentum validation |
| ABA (Amazon Brand Analytics) | /api/v1/tools/research/aba/intelligentQuery | Search Frequency Rank |
| eBay | /api/v1/tools/research/ebay/search | Cross-platform demand validation |
| TikTok Echotik | /api/v1/tools/research/echotik/listProduct | Social commerce trend signals |
| Score | Grade | Action |
|---|---|---|
| 75+ | A 🔥 | Highly Recommended |
| 65-74 | B ✅ | Recommended |
| 55-64 | C+ ⚠️ | Consider with differentiation |
| 45-54 | C 🟡 | Proceed with caution |
| <45 | D ❌ | Not recommended |
Final Score = Base Score (0-100) + Modifiers (±32)
| Component | Points | Metrics |
|---|---|---|
| 📈 Demand | 25 | Search volume, trend direction |
| ⚔️ Competition | 25 | Review barriers, brand concentration |
| 💰 Profit | 25 | Price points, margins |
| 🎯 Opportunity | 25 | Gaps, differentiation potential |
| Factor | Range | Source | Auto |
|---|---|---|---|
| Rating Quality | -2 ~ +4 | JS | ✅ |
| Amazon Seller | -6 ~ 0 | JS | ✅ |
| Brand Moat | -4 ~ 0 | JS | ✅ |
| New Entrants | 0 ~ +4 | JS | ✅ |
| Price Stability | -2 ~ +2 | Keepa | ✅ |
| Seasonality | -4 ~ +2 | JS | ✅ |
| Trend Momentum | -4 ~ +4 | ✅ | |
| Review Velocity | -2 ~ +2 | Keepa | ✅ |
| Listing Quality | -2 ~ +2 | Scrape | ✅ |
| Return Rate | -4 ~ 0 | JS | ✅ |
| Complexity Tag | -4 ~ 0 | Manual | ❌ |
| Moat Tag | 0 ~ +4 | Manual | ❌ |
--chart with an output directory unless the user asks for a quick text-only result or chart data is unavailable.ecommerce_chart_helpers.py which reads from chart_style.json (derived from references/display-rules.md). Do NOT hardcode colors in scripts.# Evaluate a niche
python3 scripts/niche_evaluator.py '{"keyword": "yoga mat"}'
# With specific tags
python3 scripts/niche_evaluator.py '{"keyword": "yoga mat", "tags": ["complexity:high"]}'
# Compare multiple niches
python3 scripts/niche_evaluator.py '{"keywords": ["yoga mat", "pilates mat"]}'
# With chart output
python3 scripts/niche_evaluator.py '{"keyword": "kombucha"}' --chart /tmp/output
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword | string | required | Niche keyword to evaluate |
keywords | array | - | Multiple niches to compare |
market | string | Target marketplace | |
tags | array | - | Manual modifier tags |
The output will be a structured markdown report, following this format:
Niche Market Evaluation Report: [Keyword]
1. Executive Summary
2. Evaluation Score Details
| Component | Score |
|---|---|
| 📈 Demand | [score.components.demand] |
| ⚔️ Competition | [score.components.competition] |
| 💰 Profit | [score.components.profit] |
| 🎯 Opportunity | [score.components.opportunity] |
3. Modifier Factors Analysis
| Factor Name | Value/Description | Reason/Insight |
|---|---|---|
| [modifiers_applied[0].name] | [modifiers_applied[0].value] | [modifiers_applied[0].reason] |
| ... | ... | ... |
| (Listing all applied modifier factors) |
4. Overall Recommendations
insights includes a recommendations list, list them here)5. Attached Visualizations
| Chart | Description | File |
|---|---|---|
| 4-Dimension Radar | Demand/Competition/Profit/Opportunity | radar_chart.png |
| Modifier Waterfall | Score buildup visualization | waterfall_chart.png |
| Price Segment | Price distribution | price_segment.png |
| Comparison Matrix | Multi-niche comparison | comparison.png |
📈 Discovery Phase
├── trend-discovery → Find trending categories
├── market-overview → Understand the market
└── niche-evaluator → Evaluate niche potential ← YOU ARE HERE
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_API_KEY | Yes | NexScope proxy API key |
NEXSCOPE_PROXY_BASE | Yes | NexScope proxy base URL |
references/scoring-methodology.md — Detailed scoring logicreferences/display-rules.md — Chart styling guidelinesCompare Amazon competitor business metrics: price, reviews, BSR, sales, seller count, traffic. Triggers: competitor metrics, who performs best, price/BSR/review comparison. Use for business performance, not listing copy; use competitor-listing-analyzer for content structure.
Analyze Amazon listing content and structure: title, bullets, images, A+ content, and listing quality. Triggers: listing breakdown, reverse-engineer listings, title/bullet/image analysis. Use for content audits, not business metrics; use competitor-analyzer for price/BSR/sales.
Validate whether demand is real by comparing search volume with sales and buying intent. Triggers: is demand real, fake demand, inflated volume, are people buying, conversion gap. Use for demand proof, not broad market overview or niche go/no-go scoring.
Check visual/design patent similarity from product images. Triggers: design infringement, look-alike patent, visual similarity, design clearance. Use for appearance/design risk, not utility claims or legal-status checks.
Suggest product differentiation and USP using competitor/review evidence. Triggers: how to stand out, USP, competitive advantage, product improvement. Use for positioning and feature strategy, not raw competitor metrics or review monitoring.
Find visually similar Amazon products from an image. Triggers: reverse image search, find lookalikes, who else sells this, source by image. Use for marketplace lookalikes, not patent similarity or design infringement checks.