Agent skill

Product Differentiation Amazon

by nexscope-ai in nexscope-ai/eCommerce-Skills

Amazon product differentiation strategy tool. An agent skill from nexscope-ai/eCommerce-Skills.

MITAuto-check passedMarketing & SEO

Install Product Differentiation Amazon

skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-amazon -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nexscope-ai/eCommerce-Skills product-differentiation-amazon --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/product-differentiation/product-differentiation-amazon .claude/skills/product-differentiation-amazon && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-differentiation-amazon
GitHub stars
1.1k
Token cost
~1.1k tokens
SKILL.md length
158 words
Files
2 (incl. scripts)
Skills in repo
114
Repo updated
First seen
Licence
MIT

At a glance

Amazon product differentiation strategy tool. An agent skill from nexscope-ai/eCommerce-Skills.

  • Marketing & SEO work in your project
  • SKILL.md covers Installation, Features, Progressive Analysis Levels and Analysis Dimensions, plus 4 more sections
  • Runs Python scripts from its folder; calls python3 and npx

What it does

Product Differentiation Amazon is an agent skill from nexscope-ai/eCommerce-Skills. Amazon product differentiation strategy tool. Analyze competitor weaknesses, extract pain points from negative reviews, identify unique selling points from positive reviews, and generate actionable differentiation strategies. Progressive L1-L4 analysis depth. No API key required.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/analyzer.py`).

It sits in Marketing & SEO. The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “/product-differentiation-amazon”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • nexscope.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Differentiation Amazon loads about 1.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 158 words, ~1,104 tokens.

Download SKILL.mdSave it as .claude/skills/product-differentiation-amazon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
product-differentiation-amazon
description
Amazon product differentiation strategy tool. Analyze competitor weaknesses, extract pain points from negative reviews, identify unique selling points from positive reviews, and generate actionable differentiation strategies. Progressive L1-L4 analysis depth. No API key required.
version
1.0.0
author
Nexscope AI

Product Differentiation — Amazon 🎯

Develop winning product differentiation strategies by analyzing competitor reviews and market positioning.

Installation

bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-amazon -g

Features

  • Competitor Matrix — Side-by-side product comparison
  • Pain Point Mining — Extract issues from negative reviews
  • USP Extraction — Identify selling points from positive reviews
  • Differentiation Opportunities — Find gaps in the market
  • Positioning Strategy — Market positioning recommendations
  • Action Plan — Prioritized improvement roadmap

Progressive Analysis Levels

LevelRequired DataUnlocked Analysis
L1 BasicProduct infoBasic comparison matrix
L2 Pain Points+ Competitor negative reviewsPain point analysis
L3 USP+ Your positive reviewsSelling point extraction
L4 Complete+ Market dataFull strategy & action plan

Analysis Dimensions

DimensionMethodOutput
Feature GapCompetitor comparisonMissing features list
Pain PointsNegative review NLPTop complaints ranked
Selling PointsPositive review NLPKey USPs identified
Price PositionPrice-value mappingPositioning quadrant
Quality SignalsReview sentimentQuality perception score

Usage

Interactive Mode
bash
python3 scripts/analyzer.py
With Parameters
bash
python3 scripts/analyzer.py '{
  "your_asin": "B08XXXXXX1",
  "competitor_asins": ["B08XXXXXX2", "B08XXXXXX3"],
  "category": "Electronics"
}'
Demo Mode
bash
python3 scripts/analyzer.py --demo

Input Example

json
{
  "your_product": {
    "asin": "B08XXXXXX1",
    "title": "Wireless Earbuds Pro",
    "price": 49.99,
    "rating": 4.2,
    "features": ["Bluetooth 5.0", "30h battery", "IPX5"]
  },
  "competitors": [
    {
      "asin": "B08XXXXXX2",
      "title": "Competitor Earbuds A",
      "price": 39.99,
      "rating": 4.0
    }
  ],
  "negative_reviews": [...],
  "positive_reviews": [...]
}

Output Example

🎯 Product Differentiation Report

Product: Wireless Earbuds Pro
Category: Electronics
Competitors Analyzed: 3

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 COMPETITOR COMPARISON MATRIX

Feature         | You  | Comp A | Comp B | Comp C
─────────────────────────────────────────────────
Bluetooth       | 5.0  | 5.0    | 4.2    | 5.0
Battery Life    | 30h  | 24h    | 20h    | 28h
Water Resist    | IPX5 | IPX4   | None   | IPX5
Noise Cancel    | ❌   | ❌     | ❌     | ✅
Price           | $50  | $40    | $30    | $70

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

😤 TOP PAIN POINTS (from competitor reviews)

1. 🔴 Battery dies quickly (mentioned 45x)
2. 🔴 Poor Bluetooth connection (mentioned 32x)
3. 🟡 Uncomfortable fit (mentioned 28x)
4. 🟡 Case quality issues (mentioned 15x)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

✨ YOUR UNIQUE SELLING POINTS

1. ⭐ Superior battery life (30h vs avg 24h)
2. ⭐ Better water resistance (IPX5)
3. ⭐ Stable connection (highlighted in reviews)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🎯 DIFFERENTIATION OPPORTUNITIES

1. Add noise cancellation (gap in mid-range)
2. Improve comfort messaging
3. Highlight battery advantage in listing

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📋 ACTION PLAN

Priority | Action                    | Impact
─────────────────────────────────────────────
HIGH     | Update listing bullets    | +15% CVR
HIGH     | Add battery comparison    | +10% CVR
MEDIUM   | Request comfort reviews   | +5% rating
LOW      | Consider ANC version      | New SKU

Strategy Framework

Competitor Analysis
      ↓
Pain Point Mining
      ↓
USP Identification
      ↓
Gap Analysis
      ↓
Positioning Strategy
      ↓
Action Plan

Part of Nexscope AI — AI tools for e-commerce sellers.

© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in product-differentiation/product-differentiation-amazon of nexscope-ai/eCommerce-Skills.

  • SKILL.md
  • scripts/analyzer.py

Open the folder on GitHubat commit ee0fb29

Compare with similar skills

Product Differentiation Amazon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Differentiation Amazon compared with similar skills
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Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Product Differentiation Amazon

What does Product Differentiation Amazon do?

Amazon product differentiation strategy tool. An agent skill from nexscope-ai/eCommerce-Skills. Product Differentiation Amazon is an agent skill from nexscope-ai/eCommerce-Skills. Amazon product differentiation strategy tool.

When should I use Product Differentiation Amazon?

Product Differentiation Amazon fits situations like: marketing & SEO work in your project.

How do I install Product Differentiation Amazon in Claude Code?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-amazon -a claude-code`. Or copy the skill folder (product-differentiation/product-differentiation-amazon in nexscope-ai/eCommerce-Skills) into .claude/skills/product-differentiation-amazon in your project. Claude Code loads it when a task matches its description.

How do I install Product Differentiation Amazon in Codex?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-amazon -a codex`. Or copy the skill folder (product-differentiation/product-differentiation-amazon in nexscope-ai/eCommerce-Skills) into .agents/skills/product-differentiation-amazon in your project. Codex loads it when a task matches its description.

Can I use Product Differentiation Amazon in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-amazon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-differentiation-amazon, .gemini/skills/product-differentiation-amazon, .github/skills/product-differentiation-amazon and .opencode/skills/product-differentiation-amazon in your project.

What does Product Differentiation Amazon need to run?

Going by SKILL.md and its folder, Product Differentiation Amazon needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and npx). Our summary lists: Python 3; Node.js.

Does Product Differentiation Amazon access the network?

SKILL.md names 1 domain. As links in the text: nexscope.ai. This is read from the text; nothing was executed.

Is Product Differentiation Amazon safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Product Differentiation Amazon use?

Product Differentiation Amazon is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Differentiation Amazon use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Differentiation Amazon?

Skills that share tags, products or a category with Product Differentiation Amazon: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Differentiation Amazon?

nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,109 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.

Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.