amazon-keyword-research

Name: amazon-keyword-research
Author: nexscope-ai

866installs70forks

How to install amazon-keyword-research?

nexscope-ai/amazon-skills/amazon-keyword-research

$npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research

Installs into the current project.

Summary

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 req

Files · 1

View on GitHub

SKILL.md

1	# Amazon Keyword Research 🔍
2
3	Free keyword research for Amazon sellers. No API key — works out of the box.
4
5	## Installation
6
7	```bash
8	npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
9	```
10
11	## Capabilities
12
13	- Long-tail keyword mining: Extract 100-200 real search terms from Amazon's autocomplete engine
14	- Competitor landscape analysis: Product count, price range, average rating, review distribution, top brands
15	- Seasonal trend detection: 12-month Google Trends data to identify peak seasons and demand shifts
16	- Market opportunity scoring: 1-10 score combining competition density, price room, and demand signals
17	- Multi-marketplace support: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
18	- Keyword comparison: Side-by-side analysis of multiple keywords
19
20	## Usage Examples
21
22	Users can ask naturally. Examples:
23
24	```
25	Research the keyword "portable blender" on Amazon US
26	```
27
28	```
29	Find long-tail keywords for "yoga mat" on Amazon
30	```
31
32	```
33	I want to sell resistance bands. What does the Amazon keyword landscape look like?
34	```
35
36	```
37	Compare "laptop stand" vs "monitor stand" on Amazon US — which has more opportunity?
38	```
39
40	```
41	Analyze "Küchenmesser" on Amazon Germany
42	```
43
44	```
45	Research "water bottle" across Amazon US, UK, and DE
46	```
47
48	## Workflow
49
50	### Step 1: Gather Autocomplete Data
51
52	Run the bundled script to collect Amazon autocomplete suggestions:
53
54	```bash
55	<skill>/scripts/research.sh "<keyword>" [marketplace]
56	```
57
58	Parameters:
59	- `keyword` (required): The seed keyword to research
60	- `marketplace` (optional): `us` (default), `uk`, `de`, `fr`, `it`, `es`, `jp`, `ca`, `au`, `in`, `mx`, `br`
61
62	What the script does:
63	- Queries Amazon's autocomplete API with the seed keyword
64	- Expands with prefixes: "best [keyword]", "cheap [keyword]", "top [keyword]"
65	- Expands with a-z suffixes: "[keyword] a", "[keyword] b", ... "[keyword] z"
66	- Returns deduplicated, sorted list of real search suggestions — one per line
67
68	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.
69
70	Example:
71	```bash
72	<skill>/scripts/research.sh "portable blender" us
73	# Returns 100-200 long-tail keywords
74	```
75
76	For multi-marketplace research, run the script once per marketplace.
77
78	### Step 2: Analyze Competition
79
80	Use `web_search` to gather competitor intelligence:
81
82	1. Search `"<keyword>" site:amazon.com` — note approximate result count for competition density
83	2. Search `"<keyword>" amazon best sellers price review` — extract price patterns, rating averages, dominant brands
84	3. Summarize: total competitors, price range (min/avg/max), average star rating, top 5 brands by visibility
85
86	Why this matters: Raw keyword volume means nothing without competition context. A keyword with 10,000 searches but dominated by 3 entrenched brands with 10,000+ reviews each is a very different opportunity than one with the same volume but fragmented sellers. The price range reveals margin potential — if everything is under $10, margins will be razor-thin after FBA fees.
87
88	### Step 3: Check Seasonality
89
90	Use `web_fetch` on Google Trends:
91
92	```
93	https://trends.google.com/trends/explore?q=<keyword>&geo=US
94	```
95
96	If Google Trends returns a 429 error, fall back to `web_search` for seasonal data:
97	```
98	"<keyword>" seasonal trends demand peak months
99	```
100
101	Identify: trend direction (rising/declining/stable), seasonal peaks (which months), year-over-year change.
102
103	Why this matters: Seasonality determines cash flow risk. A product that sells 80% of its volume in Q4 means you need capital for inventory months in advance and may sit on dead stock the rest of the year. Rising trends mean growing demand and more room for new entrants; declining trends mean yo

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amazon-keyword-research

866installs70forks

View on GitHub

How to install amazon-keyword-research?

nexscope-ai/amazon-skills/amazon-keyword-research

$npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Amazon Keyword Research 🔍
2
3	Free keyword research for Amazon sellers. No API key — works out of the box.
4
5	## Installation
6
7	```bash
8	npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
9	```
10
11	## Capabilities
12
13	- Long-tail keyword mining: Extract 100-200 real search terms from Amazon's autocomplete engine
14	- Competitor landscape analysis: Product count, price range, average rating, review distribution, top brands
15	- Seasonal trend detection: 12-month Google Trends data to identify peak seasons and demand shifts
16	- Market opportunity scoring: 1-10 score combining competition density, price room, and demand signals
17	- Multi-marketplace support: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
18	- Keyword comparison: Side-by-side analysis of multiple keywords
19
20	## Usage Examples
21
22	Users can ask naturally. Examples:
23
24	```
25	Research the keyword "portable blender" on Amazon US
26	```
27
28	```
29	Find long-tail keywords for "yoga mat" on Amazon
30	```
31
32	```
33	I want to sell resistance bands. What does the Amazon keyword landscape look like?
34	```
35
36	```
37	Compare "laptop stand" vs "monitor stand" on Amazon US — which has more opportunity?
38	```
39
40	```
41	Analyze "Küchenmesser" on Amazon Germany
42	```
43
44	```
45	Research "water bottle" across Amazon US, UK, and DE
46	```
47
48	## Workflow
49
50	### Step 1: Gather Autocomplete Data
51
52	Run the bundled script to collect Amazon autocomplete suggestions:
53
54	```bash
55	<skill>/scripts/research.sh "<keyword>" [marketplace]
56	```
57
58	Parameters:
59	- `keyword` (required): The seed keyword to research
60	- `marketplace` (optional): `us` (default), `uk`, `de`, `fr`, `it`, `es`, `jp`, `ca`, `au`, `in`, `mx`, `br`
61
62	What the script does:
63	- Queries Amazon's autocomplete API with the seed keyword
64	- Expands with prefixes: "best [keyword]", "cheap [keyword]", "top [keyword]"
65	- Expands with a-z suffixes: "[keyword] a", "[keyword] b", ... "[keyword] z"
66	- Returns deduplicated, sorted list of real search suggestions — one per line
67
68	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.
69
70	Example:
71	```bash
72	<skill>/scripts/research.sh "portable blender" us
73	# Returns 100-200 long-tail keywords
74	```
75
76	For multi-marketplace research, run the script once per marketplace.
77
78	### Step 2: Analyze Competition
79
80	Use `web_search` to gather competitor intelligence:
81
82	1. Search `"<keyword>" site:amazon.com` — note approximate result count for competition density
83	2. Search `"<keyword>" amazon best sellers price review` — extract price patterns, rating averages, dominant brands
84	3. Summarize: total competitors, price range (min/avg/max), average star rating, top 5 brands by visibility
85
86	Why this matters: Raw keyword volume means nothing without competition context. A keyword with 10,000 searches but dominated by 3 entrenched brands with 10,000+ reviews each is a very different opportunity than one with the same volume but fragmented sellers. The price range reveals margin potential — if everything is under $10, margins will be razor-thin after FBA fees.
87
88	### Step 3: Check Seasonality
89
90	Use `web_fetch` on Google Trends:
91
92	```
93	https://trends.google.com/trends/explore?q=<keyword>&geo=US
94	```
95
96	If Google Trends returns a 429 error, fall back to `web_search` for seasonal data:
97	```
98	"<keyword>" seasonal trends demand peak months
99	```
100
101	Identify: trend direction (rising/declining/stable), seasonal peaks (which months), year-over-year change.
102
103	Why this matters: Seasonality determines cash flow risk. A product that sells 80% of its volume in Q4 means you need capital for inventory months in advance and may sit on dead stock the rest of the year. Rising trends mean growing demand and more room for new entrants; declining trends mean yo

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6 picks

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