Keyword Research v1.0.0IMPORTANT — 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.
Category / Market Understanding Step
Before running this skill, if the user provides a broad product category, niche, keyword, market idea, or trend topic, first identify:
- category or niche
- target marketplace, country, or platform
- user's analysis goal
- relevant seed keywords or subcategories
- whether the request is about demand, competition, trend, opportunity, or prioritization
Use this market understanding to choose keywords, filters, regions, comparison scope, and analysis dimensions before executing the script.
What other keywords can I target?
Discover and expand keyword opportunities from a seed keyword.
Core Question
— What other keywords should I target?
When to Use
- Expanding keyword list from initial seed
- Finding related keyword opportunities
- Discovering trending keywords
- Identifying hidden gem keywords with low competition
Differs From / Not Applicable
- Use keyword-opportunity-finder to score low-competition/high-volume gaps.
- Use keyword-reverse-lookup for competitor ASIN keywords.
- Use keyword-priority-ranker to rank an existing keyword list.
- Use this skill for broad expansion and long-tail discovery.
Data Source
| Source | Endpoint | Data |
|---|---|---|
| Jungle Scout | /api/v1/tools/jungle-scout/keywords/by-keyword |
Related keywords, volume, trends, difficulty |
Analysis Dimensions
| Dimension | Description |
|---|---|
| Related Keywords | Semantically related search terms |
| Search Volume | Monthly exact/broad match volume |
| Trend Direction | Growing or declining keywords |
| Competition Level | Ease of ranking + product count |
| PPC Cost | Advertising cost indicators |
| Opportunity Score | Volume × Ease / Competition |
Key Metrics
| Metric | Description | Good Value |
|---|---|---|
| Search Volume | Monthly exact searches | > 1,000 |
| Ease of Ranking | JS score 0-100 | > 70 |
| Monthly Trend | % change month-over-month | > 0% |
| Relevancy Score | How related to seed | > 70 |
| Organic Products | Competition count | < 500 |
Keyword Categories
| Category | Characteristics | Strategy |
|---|---|---|
| 🔥 HOT_OPPORTUNITY | High volume + Easy + Trending up | Priority target |
| 💎 HIDDEN_GEM | Medium volume + Very easy + Low competition | Quick wins |
| 📈 RISING_STAR | Strong positive trend (>15%) | Future investment |
| ⚠️ COMPETITIVE | High volume + Hard to rank | Requires resources |
| 📉 DECLINING | Negative trend (<-15%) | Avoid or monitor |
| 📊 STANDARD | Normal opportunity | Evaluate case by case |
Opportunity Score Formula
Score = (Volume × Ease × Trend_Boost) / Competition_Factor
Where:
- Trend_Boost = 1 + max(0, trend% / 100)
- Competition_Factor = max(1, organic_products / 100)
⚠️ MANDATORY: Charts & Display Rules
- Generate charts by default for full analytical reports — use
--chartwith an output directory unless the user asks for a quick text-only result or chart data is unavailable. - Send generated charts to the user — when charts are created, share all chart PNGs immediately.
- All chart styling is driven by
ecommerce_chart_helpers.pywhich reads fromchart_style.json(derived fromreferences/display-rules.md). Do NOT hardcode colors in scripts.
Usage
# Basic keyword expansion
python3 scripts/keyword_research.py '{"keyword": "face wash"}'
# With minimum volume filter
python3 scripts/keyword_research.py '{"keyword": "yoga mat", "min_volume": 1000}'
# Different market
python3 scripts/keyword_research.py '{"keyword": "face wash", "market": "UK"}'
# With chart output
python3 scripts/keyword_research.py '{"keyword": "face wash"}' --chart /tmp/output
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword |
string | required | Seed keyword to expand |
market |
string | Marketplace (US/UK/DE/FR/CA/JP) | |
min_volume |
int | 100 | Minimum search volume filter |
Output Structure
The output will be a structured markdown report, following this format:
Keyword Research Report: [Seed Keyword]
1. Executive Summary
- Seed Keyword: [seed_keyword]
- Analysis Market: [market]
- Analysis Date: [analysis_date]
- Data Source: [data_source]
- Total Keywords Found: [analysis.total]
- Core Insight: [insights.summary]
2. Keyword Analysis Overview
- Keyword Relationship Distribution:
| Relationship Type | Count |
|---|---|
| SEED | [analysis.by_relationship.SEED] |
| EXPANSION | [analysis.by_relationship.EXPANSION] |
| RELATED | [analysis.by_relationship.RELATED] |
| ADJACENT | [analysis.by_relationship.ADJACENT] |
- Keyword Category Distribution:
| Category | Count |
|---|---|
| 💎 Hidden Gem | [analysis.by_category.💎 Hidden Gem] |
| 📊 Standard | [analysis.by_category.📊 Standard] |
| 📈 Rising Star | [analysis.by_category.📈 Rising Star] |
| ⚠️ Competitive | [analysis.by_category.⚠️ Competitive] |
- Trend Distribution:
| Trend | Count |
|---|---|
| Growing (GROWING) | [analysis.by_trend.GROWING] |
| Flat (FLAT) | [analysis.by_trend.FLAT] |
| Declining (DECLINING) | [analysis.by_trend.DECLINING] |
- Search Volume Statistics:
- Total Monthly Search Volume: [analysis.volume_stats.total]
- Average Monthly Search Volume: [analysis.volume_stats.avg]
- Maximum Monthly Search Volume: [analysis.volume_stats.max]
3. Top Keyword Opportunities
- Keywords Ranked by Opportunity Score (Showing Top 10):
| Keyword | Monthly Volume | Trend | Relationship | Category | Opportunity Score |
|---|---|---|---|---|---|
| [analysis.top_keywords[0].keyword] | [analysis.top_keywords[0].monthly_volume] | [analysis.top_keywords[0].trend] | [analysis.top_keywords[0].relationship] | [analysis.top_keywords[0].category] | [analysis.top_keywords[0].opportunity_score] |
| ... | ... | ... | ... | ... | ... |
4. Actionable Recommendations
- [First recommendation from
insights.insights] - [Second recommendation from
insights.insights] - ... (Listing all key recommendations)
5. Attached Visualizations
- Opportunity Matrix Chart (1_opportunity_matrix.png)
- Category Distribution Chart (2_category_distribution.png)
- Volume Distribution Chart (3_volume_distribution.png)
- Top Opportunities Chart (4_top_opportunities.png)
Charts Generated
| Chart | Description | File |
|---|---|---|
| Opportunity Matrix | Volume vs Ease scatter | 1_opportunity_matrix.png |
| Category Distribution | Keyword categories bar | 2_category_distribution.png |
| Volume Distribution | High/Medium/Low bar | 3_volume_distribution.png |
| Top Opportunities | Ranked by score | 4_top_opportunities.png |
Insights Generated
| Insight | Trigger |
|---|---|
| Excellent Market | >= 5 hot opportunities |
| Good Potential | >= 5 hidden gems |
| Growing Market | >= 5 rising stars |
| Easy Market | Avg ease score >= 80 |
| Competitive Market | Avg ease score < 50 |
| Top Opportunity | Highest scoring keyword |
| Fastest Growing | Highest trend % keyword |
| Declining Warning | > 3 declining keywords |
Recommendations
| Situation | Recommendation |
|---|---|
| Hot opportunities exist | Target immediately |
| Many hidden gems | Capture for easy rankings |
| Rising stars found | Invest early |
| High PPC market | Focus on organic ranking |
| Many declining | Consider different niche |
Workflow Integration
1️⃣ keyword-reverse-lookup → What competitors rank for
2️⃣ keyword-research → Expand with related keywords ← YOU ARE HERE
3️⃣ keyword-priority-ranker → Prioritize targeting order
Limitations
- API returns max ~50 keywords per query
- Requires NexScope Proxy API access (Jungle Scout via proxy)
- Trend data may have 1-2 week lag
Environment Variables
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_PROXY_BASE |
Yes | NexScope proxy base URL |
NEXSCOPE_API_KEY |
Yes | NexScope proxy API key |
References
references/display-rules.md— Chart styling guidelines
Multi-Batch Usage
When analyzing more items than you want to run in a single invocation, keep charts and reports aligned by saving each batch as raw JSON and then generating one merged result.
Step 1: run each batch with --output to save intermediate JSON.
python3 scripts/keyword_research.py '{"keyword": "example"}' --output /tmp/batch1.json
python3 scripts/keyword_research.py '{"keyword": "example 2"}' --output /tmp/batch2.json
Step 2: merge every batch JSON and generate the final unified chart.
python3 scripts/keyword_research.py --merge /tmp/batch1.json /tmp/batch2.json --sort score --chart /tmp/final-charts
Use the merged JSON output and /tmp/final-charts/merged_ranking.png for the final report. Do not present per-batch charts as final charts when the text report has been globally re-ranked.