Ecommerce.Amazon Niche Info logo

Ecommerce.Amazon Niche Info

Organization
nexscope-ai
ecommerce.amazon-niche-info

Query and analyze Nexscope data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration, new product launch success rate, out-of-stock rate, price trends, review insights, market demand score, niche market insights, market metrics, competition analysis, price trends, growth trends, Nexscope data, market intelligence, out-of-stock rate. Even if the user does not explicitly mention "Nexscope" or "niche market", if their need involves querying market-level intelligence for a specific Amazon niche market by market ID, this skill should also be triggered.

Overview

Publishernexscope-ai
Repositorynexscope-ecommerce-skills
Skill nameecommerce.amazon-niche-info
Stars
104
Forks
14
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nexscope-ai on GitHub. Read the source before you install it.

Installation

Install the Ecommerce.Amazon Niche Info AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nexscope-ai/nexscope-ecommerce-skills/tree/main/ecommerce-amazon-niche-info
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexscope-ai/nexscope-ecommerce-skills.git /tmp/nexscope-ecommerce-skills
mkdir -p .claude/skills
cp -r /tmp/nexscope-ecommerce-skills/ecommerce-amazon-niche-info .claude/skills/ecommerce.amazon-niche-info
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecommerce.Amazon Niche Info in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecommerce.Amazon Niche Info on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecommerce.Amazon Niche Info is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Nexscope Niche Market Info

This skill guides you on how to query and analyze Amazon niche market data via the Nexscope data service, helping Amazon sellers gain deep insights into specific niche markets including competition, pricing, reviews, and growth trends.

How to Invoke

  • API Endpoint: POST /jiimore/getNicheInfo (complete params/response/error codes in references/api.md)
  • Python Script: python scripts/amazon_niche_info.py '<JSON params>' [--inline]
  • Cost constraint: This tool consumes credits; the same session and parameter combination is called only once by default, with a 24h local cache in the script. On failure or empty results, do not automatically retry with different keywords, pagination, or postal codes; inform the user about additional consumption before continuing to search.

Output strategy (script default behavior):

  • Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/nexscope-jiimore-get-niche-info-<timestamp>.json (<cwd> is the working directory at script execution time, i.e. the current project directory in Claude Code; <session> is taken from the SESSION_ID env var, auto-grouped by user task; do not write to /tmp, error if current directory is not writable)
  • Response body <= 8 KB: print full JSON to stdout after saving
  • Response body > 8 KB: print only summary to stdout after saving (top-level fields, common counts like total/costToken, length of largest list field + first 3 samples)
  • Add --inline to force full output to stdout (still saves to disk)

Data reading tip: Check the summary first to decide if it's enough; when specific fields are needed, prefer using jq or ConvertFrom-Json to extract from the saved json file on demand, avoiding loading the entire JSON into context.

Core Concepts

A niche market in Nexscope represents a fine-grained product segment on Amazon. Each niche is identified by a unique nicheId. This tool retrieves comprehensive market intelligence for a single niche at a time, covering:

  • Market overview: niche title, demand score, product count, brand count, selling partner count
  • Pricing: average price, minimum price, maximum price
  • Search & conversion: weekly/quarterly search volume, search volume growth, search conversion rate, click-to-sale conversion rate, units sold
  • Competition concentration: top 5 / top 20 product and brand click share (current, 90-day, 360-day snapshots)
  • Product launches: new products launched, successful launches across 90-day / 180-day / 360-day windows
  • Inventory health: average out-of-stock rate over time
  • Seller maturity: average brand age, average selling partner age
  • Review insights: average review rating, average review count, positive and negative customer review insights
  • Advertising: ACOS (advertising cost of sales), sponsored products percentage
  • Profitability: profit margin > 50% SKU ratio, break-even ratio, return rate

Supported marketplaces: US (United States), JP (Japan), DE (Germany). Default is US.

Parameter Guide

ParameterTypeRequiredDescription
nicheIdstringYesThe niche market ID to query. Maximum 1000 characters. Only one ID per request.
countryCodestringNoMarketplace code. Allowed values: US, JP, DE. Defaults to US.

How to Use Parameters

  1. nicheId is mandatory: The user must provide or you must identify the niche market ID. This is a string identifier for a specific Amazon niche segment.
  2. countryCode defaults to US: Only specify a different value when the user explicitly mentions Japan (JP) or Germany (DE).
  3. Single ID per call: This tool only supports one niche ID per request. If the user wants to compare multiple niches, make separate calls.

Usage Examples

1. Basic niche market lookup (US) Query niche market data for a given niche ID in the US marketplace:

nicheId: "12345678"
countryCode: "US"

2. Query a niche in the Japan marketplace

nicheId: "87654321"
countryCode: "JP"

3. Query a niche in the Germany marketplace

nicheId: "11223344"
countryCode: "DE"

Analysis Guidance

When presenting results, organize the rich data into logical sections for the user:

Market Overview

  • Niche title (English and Chinese translation if available)
  • Demand score, product count, brand count, selling partner count
  • Reference ASIN image (if available)

Pricing & Profitability

  • Average price, min price, max price
  • Profit margin > 50% SKU ratio, break-even ratio, return rate
  • ACOS

Search & Demand Trends

  • Weekly and quarterly search volume and growth rates
  • Search conversion rate, click conversion rate
  • Units sold (weekly/quarterly)

Competition Landscape

  • Top 5 and top 20 product/brand click share (current vs. 90-day vs. 360-day)
  • Brand count trends, selling partner count trends
  • Sponsored products percentage over time

Product Launch Activity

  • New products launched and successful launches across time windows
  • Launch success rate (semiannual)

Review & Customer Insights

  • Average review rating and count trends
  • Positive and negative customer review insights
  • Product star rating impact

Inventory & Operations

  • Average out-of-stock rate trends

Display Rules

  1. Present data clearly: Show query results in well-structured tables or grouped sections without subjective business advice unless specifically requested.
  2. Trend comparison: When the response includes current, 90-day-ago, and 360-day-ago data points, present them side-by-side so users can easily spot trends.
  3. Percentage formatting: Display share and rate values as percentages (e.g., 0.35 as 35.0%).
  4. Review insights: If positive/negative customer review insights are present, list them as bullet points.
  5. Image display: If referenceAsinImageUrl is present, display or link to the niche reference image.
  6. Error handling: When a query fails, explain the reason based on the response and suggest checking the niche ID or country code.

Important Limitations

  • Single ID only: Only one niche ID can be queried per request. Batch queries are not supported.
  • Three marketplaces: Only US, JP, and DE are supported.
  • Niche ID required: The user must supply the niche ID; this tool cannot search for niches by keyword or category.

User Expression & Scenario Quick Reference

Applicable -- Queries about a specific Amazon niche market:

User SaysScenario
"Look up this niche market", "niche ID info"Basic niche lookup
"How competitive is this niche", "brand concentration"Competition analysis
"What's the average price in this niche"Pricing intelligence
"Search volume for this niche", "demand trends"Search & demand analysis
"How many new products launched", "launch success rate"Product launch tracking
"Review rating in this niche", "buyer feedback insights"Review analysis
"Out-of-stock rate", "inventory health"Inventory analysis
"Is this niche worth entering", "niche opportunity"Comprehensive niche evaluation

Not applicable -- Needs beyond niche market lookup:

  • Searching for niches by keyword or category (this tool requires a known niche ID)
  • Individual ASIN-level product analysis
  • ABA search term data (use the ABA Data Explorer instead)
  • Advertising campaign management or PPC optimization
  • Listing copywriting or review management

Authentication

Set the NEXSCOPE_API_KEY environment variable. If credentials are missing or expire, visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to top up credits.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ecommerce.Amazon Niche Info AI skill do?

Query and analyze Nexscope data for Amazon niche market insights, including market metrics, buyer reviews, competitive landscape, price trends, and growth trends. Trigger when the user mentions niche market analysis, market insights, niche market data, market competition analysis, brand concentration, new product launch success rate, out-of-stock rate, price trends, review insights, market demand score, niche market insights, market metrics, competition analysis, price trends, growth trends, Nexscope data, market intelligence, out-of-stock rate. Even if the user does not explicitly mention...

Why use Ecommerce.Amazon Niche Info on TypingMind?

Because you install it once and use it with any model. Ecommerce.Amazon Niche Info is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecommerce.Amazon Niche Info in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexscope-ai/nexscope-ecommerce-skills/tree/main/ecommerce-amazon-niche-info. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ecommerce.Amazon Niche Info?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecommerce.Amazon Niche Info?

As many as you like. As long as a model supports skills, you can use Ecommerce.Amazon Niche Info with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecommerce.Amazon Niche Info AI skill free?

It is published on GitHub by nexscope-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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