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Prioritize an existing keyword list by ROI/opportunity. Triggers: which keywords first, keyword priority, target order, rank my keyword list. Use when keywords already exist; use opportunity-finder to discover new gaps.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | ecommerce.keyword-priority-ranker |
| version | 1.0.0 |
| description | Prioritize an existing keyword list by ROI/opportunity. Triggers: which keywords first, keyword priority, target order, rank my keyword list. Use when keywords already exist; use opportunity-finder to discover new gaps. |
| 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.
Which keywords should I target first?
Rank and prioritize keywords by actionable opportunity score.
— Which keywords should I target first?
| Source | Endpoint | Data |
|---|---|---|
| Jungle Scout | /api/v1/tools/jungle-scout/keywords/by-keyword | Keyword expansion, volume, difficulty |
| Jungle Scout | /api/v1/tools/jungle-scout/keywords/by-asin | Current rankings (if ASIN provided) |
| Factor | Weight | Description |
|---|---|---|
| Volume | 25% | Search volume potential (normalized) |
| Ease | 25% | Ease of ranking (0-100 from API) |
| Relevancy | 15% | How relevant to your product |
| Trend | 15% | Growth momentum (centered at 50) |
| PPC Value | 10% | Higher PPC = more organic value |
| Competition | 10% | Fewer competitors = higher score |
Priority Score = Σ (Factor × Weight)
| Tier | Score | Label | Action |
|---|---|---|---|
| P0 | 80-100 | 🥇 NOW | Attack immediately |
| P1 | 60-79 | 🥈 SOON | Target within 2 weeks |
| P2 | 40-59 | 🥉 LATER | Add to backlog |
| P3 | 20-39 | ⏸️ HOLD | Monitor only |
| SKIP | <20 | ❌ SKIP | Don't waste resources |
| Strategy | Characteristics | When to Use |
|---|---|---|
| QUICK_WIN | High ease + Medium volume | Build momentum fast |
| BIG_BET | High volume + Moderate ease | Investment for traffic |
| LONG_TAIL | High relevancy + Low competition | Conversion focus |
| DEFEND | Already ranking well | Protect position |
| BRAND_TERM | Contains brand names | Strategic decision |
| COMPETITIVE | Low ease score | Requires resources |
--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.# From seed keyword
python3 scripts/keyword_priority_ranker.py '{"keyword": "face wash"}'
# From ASIN (includes current rankings)
python3 scripts/keyword_priority_ranker.py '{"asin": "B07RL88DD2"}'
# Combined (seed + current rankings)
python3 scripts/keyword_priority_ranker.py '{"keyword": "face wash", "asin": "B07RL88DD2"}'
# With custom weights
python3 scripts/keyword_priority_ranker.py '{"keyword": "face wash", "volume_weight": 0.4}'
# With minimum volume
python3 scripts/keyword_priority_ranker.py '{"keyword": "face wash", "min_volume": 500}'
# With chart output
python3 scripts/keyword_priority_ranker.py '{"keyword": "face wash"}' --chart /tmp/output
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword | string | - | Seed keyword for expansion |
asin | string | - | ASIN for current rankings |
market | string | Marketplace | |
min_volume | int | 100 | Minimum search volume |
volume_weight | float | 0.25 | Custom weight for volume |
ease_weight | float | 0.25 | Custom weight for ease |
relevancy_weight | float | 0.15 | Custom weight for relevancy |
trend_weight | float | 0.15 | Custom weight for trend |
ppc_value_weight | float | 0.10 | Custom weight for PPC value |
competition_weight | float | 0.10 | Custom weight for competition |
The output will be a structured markdown report, following this format:
Keyword Priority Ranking Report
1. Executive Summary
2. Priority Tier Distribution
| Priority | Label | Count |
|---|---|---|
| P0 (80-100) | 🥇 Act Now (NOW) | [tier_distribution.P0_now] |
| P1 (60-79) | 🥈 Soon (SOON) | [tier_distribution.P1_soon] |
| P2 (40-59) | 🥉 Later (LATER) | [tier_distribution.P2_later] |
| P3 (20-39) | ⏸️ Hold (HOLD) | [tier_distribution.P3_hold] |
| SKIP (<20) | ❌ Skip (SKIP) | [tier_distribution.skip] |
3. Strategy Type Distribution
| Strategy Type | Count |
|---|---|
| Brand Term (BRAND_TERM) | [strategy_distribution.BRAND_TERM] |
| Quick Win (QUICK_WIN) | [strategy_distribution.QUICK_WIN] |
| (Other strategies, if any) |
4. Top Priority Keywords
| Keyword | Priority Score | Priority | Strategy | Exact Search Volume |
|---|---|---|---|---|
| [p0_keywords[0].keyword] | [p0_keywords[0].priority_score] | [p0_keywords[0].tier_label] | [p0_keywords[0].strategy] | [p0_keywords[0].search_volume_exact] |
| ... | ... | ... | ... | ... |
| Keyword | Priority Score | Priority | Strategy | Exact Search Volume |
|---|---|---|---|---|
| [p1_keywords[0].keyword] | [p1_keywords[0].priority_score] | [p1_keywords[0].tier_label] | [p1_keywords[0].strategy] | [p1_keywords[0].search_volume_exact] |
| ... | ... | ... | ... | ... |
5. Action Plan & Recommendations
insights.action_plan]insights.action_plan]insights.warnings]6. Attached Visualizations
| Chart | Description | File |
|---|---|---|
| Tier Distribution | P0/P1/P2/P3/SKIP pie | 1_tier_distribution.png |
| Strategy Mix | Quick Win/Big Bet/etc bar | 2_strategy_mix.png |
| Top Priority | Ranked keywords bar | 3_top_priority.png |
| Priority Matrix | Volume vs Score scatter | 4_priority_matrix.png |
| Insight | Trigger |
|---|---|
| Excellent | >= 10 P0 keywords |
| Good Opportunity | >= 5 P0 keywords |
| Needs Research | 0 P0 keywords |
| Quick Wins Available | > 0 QUICK_WIN strategy |
| Big Bets Found | > 0 BIG_BET strategy |
| Long-tail Focus | > 0 LONG_TAIL strategy |
| Competitive Warning | > 30% competitive keywords |
| Low Quality Keywords | > 20% SKIP tier |
1️⃣ keyword-reverse-lookup → What competitors rank for
2️⃣ keyword-research → Expand with related keywords
3️⃣ keyword-priority-ranker → Prioritize targeting order ← YOU ARE HERE
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_PROXY_BASE | Yes | NexScope proxy base URL |
NEXSCOPE_API_KEY | Yes | NexScope proxy API key |
references/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.