Agent skill · marketing growth · nexscope-ai
amazon-keyword-research
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
Why this skill is useful
Adds a script for extracting Amazon autocomplete suggestions and analyzing competition that the AI wouldn't reliably generate on its own.
What it needs
Requires npx installed locally. About 5k tokens when loaded. Last updated 2026-07-23. 504 stars on the source repository.
What this skill does
Amazon Keyword Research 🔍 Free keyword research for Amazon sellers. No API key — works out of the box. Installation Capabilities Long-tail keyword mining: Extract 100-200 real search terms from Amazon's autocomplete engine Competitor landscape analysis: Product count, price range, average rating, review distribution, top brands Seasonal trend detection: 12-month Google Trends data to identify peak seasons and demand shifts Market opportunity scoring: 1-10 score combining competition density, price room, and demand signals Multi-marketplace support: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR Keyword comparison: Side-by-side analysis of multiple keywords Usage Examples Users can ask naturally. Examples: Workflow Step 1: Gather Autocomplete Data Run the bundled script to collect Amazon autocomplete suggestions: Parameters: keyword (required): The seed keyword to research marketplace (optional): us (default), uk, de, fr, it, es, jp, ca, au, in, mx, br What the script does: Queries Amazon's autocomplete API with the seed keyword Expands with prefixes: "best [keyword]", "cheap [keyword]", "top [keyword]" Expands with a-z suffixes: "[keyword] a", "[keyword] b", ... "[keyword] z" Returns deduplicated, sorted list of real search suggestions — one per line Why this matters: Amazon autocomplete reflects what real shoppers are actually typing. These aren't guesses — they're demand signals directly from Amazon's search engine. The prefix and alphabet expansion catches long-tail terms that basic autocomplete misses, which are often lower competition and higher intent. Example: For multi-marketplace research, run the script once per marketplace. Step 2: Analyze Competition Use websearch to gather competitor intelligence: 1. Search "<keyword>" site:amazon.com — note approximate result count for competition density 2. Search "<keyword>" amazon best sellers price review — extract price patterns, rating averages, dominant brands 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nexscope-ai/amazon-keyword-research