Product descriptions for any platform β Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop.
Send this command to your AI agent:
npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator --skill product-description-generator---
name: product-description-generator
description: "E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create β generate listing from product specs with optional competitor analysis, (B) Optimize β improve existing listing with keyword gap analysis. Supports Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, Shopee. No API key required. Use when: (1) writing a new product listing, (2) analyzing what makes competitors rank, (3) improving an underperforming listing."
metadata: {"nexscope":{"emoji":"π","category":"ecommerce"}}
---
Generate platform-optimized product copy β titles, bullet points, descriptions, and backend keywords β for any major e-commerce platform. No API key required.
npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -g
> For Amazon listings, use our dedicated skill with Cosmo algorithm optimization:
>
> npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g
>
> See: amazon-listing-optimization
| Mode | When to Use | Input |
|------|-------------|-------|
| A β Create | Writing a new listing | Product specs + optional competitor URLs |
| B β Optimize | Improving existing listing | Current listing or URL + optional competitor URLs |
Both modes support competitor analysis β just include competitor URLs to enable it.
| Platform | Output Components |
|----------|-------------------|
| Amazon | Title (β€200) + 5 Bullets (β€500 each) + Description (β€2000) + Backend (β€250 bytes) |
| eBay | Title (β€80) + HTML Description |
| Walmart | Title (β€75) + Short Desc (β€150) + 10 Features + Long Desc |
| Shopify/DTC | SEO Title (β€60) + Meta Desc (β€160) + Product Description |
| Etsy | Title (β€140) + Description + 13 Tags (β€20 each) |
| TikTok Shop | Title (β€255) + Description (β€1000) |
| Lazada/Shopee | Title (β€120) + 5 Highlights + Description |
Create a listing for my yoga mat on eBay UK.
Competitors: https://www.ebay.co.uk/itm/123456789, https://www.ebay.co.uk/itm/987654321
My product: 6mm TPE, non-slip, carrying strap included. Brand: ZenMat. Tone: Friendly.
Platform: Etsy. Product: hand-poured soy candle, lavender scent, 8oz glass jar, 40-hour burn time.
Target audience: gift buyers. Tone: Luxury.
Optimize this Shopify listing: https://mystore.com/products/portable-blender
Beat these competitors: https://amazon.com/dp/B09V3KXJPB, https://walmart.com/ip/123456
Find keyword gaps and rewrite this Etsy listing:
[paste current title, description, and tags]
---
If user doesn't provide enough info, ask upfront:
To generate your listing, I need:Required:
- Platform (eBay / Walmart / Shopify / Etsy / TikTok Shop / Lazada / Shopee)
- Product name and key features
- Brand name
Recommended (better results):
- 1-3 competitor URLs to analyze
- Target audience
- Tone preference (Professional / Friendly / Urgent / Luxury)
Which mode?
- A β Create: I'm writing a new listing from scratch
- B β Optimize: I have an existing listing to improve
π‘ For Amazon listings, I recommend using amazon-listing-optimization β it's optimized for Amazon's Cosmo algorithm.
---
| Field | Required | Example |
|-------|----------|---------|
| product_name | β
| Portable blender |
| platform | β
| Etsy |
| brand | β
| BlendJet |
| key_features | β
| USB-C, 6 blades, BPA-free |
| specs | β
| 380ml, 175W motor |
| target_audience | π | Gym-goers, travelers |
| use_cases | π | Smoothies, protein shakes |
| competitor_urls | π | 1-3 URLs to analyze |
| tone | Optional | Professional (default) / Friendly / Luxury / Urgent |
If competitor URLs provided:
Use web_fetch on each competitor URL.
Extract: title, bullets/features, description, price, review count, brand name.
web_fetch fails or returns incomplete data:
Fallback: web_search for "[product title from URL]" site:[platform].com
Extract data from search snippets.
- Product-type terms: What it IS (yoga mat, exercise mat)
- Feature terms: What it DOES (non-slip, eco-friendly)
- Use-case terms: WHERE/WHEN used (home gym, yoga studio)
- Audience terms: WHO buys (beginners, athletes)
- Attribute terms: Specs (6mm, TPE material)
web_search: "[product type]" best seller features what buyers want
web_search: "[product type]" review complaints common issues
web_search: site:[platform].com "[product type]"
If no competitor URLs provided:
web_search: "[product name]" best seller [platform] features
web_search: "[product name]" review what customers love
web_search: "[product name]" vs alternatives comparison
web_search: site:[platform].com "[product name]"
β οΈ Critical: Remove all competitor brand names β never include them in output.
Score each keyword (1-9 points):
| Dimension | Scoring |
|-----------|---------|
| Frequency | In 3+ competitor titles = 3 pts / In 1-2 = 2 pts / Bullets only = 1 pt |
| Relevance | Core descriptor = 3 pts / Feature = 2 pts / Peripheral = 1 pt |
| Opportunity | Few competitors use = 3 pts / Most use = 2 pts / All use = 1 pt |
Assign to tiers:
π΄ Primary (7-9 pts) β Title
π‘ Secondary (4-6 pts) β Bullets / Features
π’ Tertiary (2-3 pts) β Description
βͺ Backend (1 pt) β Tags / Search Terms
Proceed to Generate Copy section.
---
User may provide:
https://www.etsy.com/listing/123456)Use web_fetch on the provided URL.
Extract: current title, bullets/features, description, tags (if visible), price.
If web_fetch fails:
Fallback: web_search for the product title or identifier.
Ask user to paste the listing content manually if data is incomplete.
Once listing content is obtained, parse and extract:
If competitor URLs provided:
Follow the same competitor analysis process as Mode A Step 2:
web_fetch each competitor URLIf no competitor URLs provided:
Discover ideal keywords for the product type:
web_search: "[product type]" top keywords [platform] 2024 2025
web_search: "[product type]" best seller features
web_search: site:[platform].com "[product type]" top listings
Compare current keywords vs. target keywords:
Keyword Gap Analysis
β
Keywords You Already Have
| Keyword | Title | Bullets | Description |
|---------|-------|---------|-------------|
| yoga mat | β
| β
| β
|
| exercise mat | β | β
| β |
β Keywords You're Missing
| Keyword | Priority | Recommendation |
|---------|----------|----------------|
| non-slip | π΄ High | Add to title |
| eco-friendly | π‘ Medium | Add to bullet 2 |
| extra thick | π‘ Medium | Add to bullet 3 |
Current Coverage: 12/20 keywords (60%)
Target Coverage: 90%+
Generate optimized copy incorporating missing keywords.
Show Before β After for each component.
Proceed to Generate Copy section.
---
Final step for all modes after keyword priority table is built.
Apply to every bullet:
F β Feature: What the product HAS or DOES
A β Advantage: Why this is BETTER than alternatives
B β Benefit: What this MEANS for the customer
E β Evidence: Spec, number, or proof that backs the claim
Lead with the Benefit β customers buy outcomes, not features.
Example:
β "Made with BPA-free Tritan plastic"
β
"SAFE FOR YOUR FAMILY β BPA-free Tritan plastic means no harmful chemicals leaching into your smoothies, even after 1000+ uses"
#### Amazon (Cosmo Algorithm)
#### eBay (Cassini Algorithm)
#### Walmart
#### Shopify/DTC (Google SEO)
,
, for on-page SEO#### Etsy (Tag Matching)
#### TikTok Shop (Social Commerce)
#### Lazada/Shopee
| Tone | Style | Best For |
|------|-------|----------|
| Professional | Authoritative, spec-focused, trust-building | Electronics, tools, B2B |
| Friendly | Conversational, benefit-focused, relatable | Kitchen, lifestyle, gifts |
| Urgent | Scarcity-driven, action words, problem-solving | Health, safety, seasonal |
| Luxury | Premium, sensory language, exclusivity | Beauty, fashion, premium goods |
Default: Professional if not specified.
---
β
Your Listing β Ready to Copy
Platform: [Platform] | Marketplace: [XX] | Tone: [Tone]
Title
[title β copy directly into platform]
Bullets / Features
[CAPS HEADER] β [text]
[CAPS HEADER] β [text]
[CAPS HEADER] β [text]
[CAPS HEADER] β [text]
[CAPS HEADER] β [text] Description
[description β copy directly into platform]
Tags / Keywords
[keywords formatted per platform rules]
---
π Diagnostic Report
Mode: [A/B] | Competitors analyzed: [N] | Keywords scored: [N]
Keyword Priority Table
| # | Keyword | Score | Tier | Placed In |
|---|---------|-------|------|-----------|
| 1 | [keyword] | 8 | π΄ | Title |
| 2 | [keyword] | 6 | π‘ | Bullet 1 |
Keyword Coverage Map
| Keyword | Title | Bullets | Desc | Tags | Status |
|---------|-------|---------|------|------|--------|
| [kw] | β
| β
| β
| β | π’ |
| [kw] | β
| β | β
| β
| π‘ |
Coverage: X/Y keywords (Z%)
π’ 90%+ Excellent Β· π‘ 70-89% Good Β· π΄ <70% Needs work
β οΈ Excluded Competitor Brands
[brands found in competitor copy β excluded from all output]
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Looking for more e-commerce tools? Check out our other skill collections:
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This skill uses publicly available data via web search and page fetching. For real-time market data, exact search volumes, and advanced analytics, check out Nexscope.
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Part of Nexscope AI β AI tools for e-commerce sellers.