product-description-generator
nexscope-ai/ecommerce-skills
Generate platform-optimized product listings with competitor analysis and keyword scoring—no API key required.
What is product-description-generator?
E-commerce product description generator that creates or optimizes listings for Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, and Shopee. It uses competitor research, keyword scoring, and FABE copywriting to produce titles, bullet points, descriptions, and backend keywords. Use it when writing new listings, analyzing competitor rankings, or improving underperforming listings.
- Generate platform-specific titles, bullets, descriptions, and backend keywords optimized for search ranking
- Analyze competitor listings to extract high-value keywords and identify ranking patterns
- Score keywords by frequency, relevance, and opportunity to prioritize copy placement
- Perform keyword gap analysis on existing listings to find missing high-impact terms
- Support two modes: Create (new listing from specs) and Optimize (improve existing listing)
- Generate copy in FABE structure (Feature, Advantage, Benefit, Evidence) tailored to target audience and tone
How to install product-description-generator
npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill product-description-generatorHow to use product-description-generator
- 1.Install the skill using the provided npm command
- 2.Choose Mode A (Create new listing) or Mode B (Optimize existing listing)
- 3.Provide required information: platform, product name, brand, key features, and specs
- 4.Optionally supply 1–3 competitor URLs to enable competitor analysis and keyword extraction
- 5.Specify target audience and tone preference (Professional, Friendly, Luxury, Urgent) for better results
- 6.Review the generated copy including title, bullets, description, and backend keywords formatted for your platform
Use cases
- Write a new product listing from scratch with optional competitor analysis to maximize visibility
- Improve an underperforming existing listing by identifying keyword gaps and rewriting copy
- Analyze what makes competitor listings rank to inform your own product positioning
- Generate listings for multiple platforms (Amazon, Etsy, Shopify, etc.) with platform-specific formatting
- Research best-seller keywords and buyer language for a product category before listing
- E-commerce sellers and marketplace vendors (Amazon, eBay, Etsy, Shopify)
- Product managers and content teams managing multi-platform inventory
- Marketing professionals optimizing product discoverability and conversion
- Small business owners launching products without copywriting expertise
product-description-generator FAQ
No. The skill requires no API key. It uses web search and fetch to gather competitor data and keyword research.
The skill will discover keywords via web search for your product type and category. Competitor URLs improve results but are optional.
Yes, but the skill recommends using the dedicated amazon-listing-optimization skill instead, which is optimized for Amazon's Cosmo algorithm.
Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, and Shopee. Each platform receives output formatted to its character limits and structure requirements.
Keywords are scored 1–9 points based on frequency (how often they appear in competitor titles), relevance (how core to the product), and opportunity (how few competitors use them). Scores determine placement: primary keywords go in titles, secondary in bullets, tertiary in descriptions, and low-scoring terms in backend tags.
Full instructions (SKILL.md)
Source of truth, from nexscope-ai/ecommerce-skills.
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 — generate listing from product specs with optional competitor analysis, (B) Optimize — 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":"📝","category":"ecommerce"}}
Product Description Generator 📝
Generate platform-optimized product copy — titles, bullet points, descriptions, and backend keywords — for any major e-commerce platform. No API key required.
Installation
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
Two Modes
| Mode | When to Use | Input |
|---|---|---|
| A — Create | Writing a new listing | Product specs + optional competitor URLs |
| B — Optimize | Improving existing listing | Current listing or URL + optional competitor URLs |
Both modes support competitor analysis — just include competitor URLs to enable it.
Supported Platforms
| Platform | Output Components |
|---|---|
| Amazon | Title (≤200) + 5 Bullets (≤500 each) + Description (≤2000) + Backend (≤250 bytes) |
| eBay | Title (≤80) + HTML Description |
| Walmart | Title (≤75) + Short Desc (≤150) + 10 Features + Long Desc |
| Shopify/DTC | SEO Title (≤60) + Meta Desc (≤160) + Product Description |
| Etsy | Title (≤140) + Description + 13 Tags (≤20 each) |
| TikTok Shop | Title (≤255) + Description (≤1000) |
| Lazada/Shopee | Title (≤120) + 5 Highlights + Description |
Usage Examples
Mode A — Create
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.
Mode B — Optimize
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]
Handling Incomplete Input
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 — Create**: I'm writing a new listing from scratch
- **B — Optimize**: I have an existing listing to improve
💡 For Amazon listings, I recommend using [amazon-listing-optimization](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-listing-optimization) — it's optimized for Amazon's Cosmo algorithm.
Mode A Workflow — Create New Listing
Step 1: Collect Product Info
| Field | Required | Example |
|---|---|---|
product_name | ✅ | Portable blender |
platform | ✅ | Etsy |
brand | ✅ | BlendJet |
key_features | ✅ | USB-C, 6 blades, BPA-free |
specs | ✅ | 380ml, 175W motor |
target_audience | 👍 | Gym-goers, travelers |
use_cases | 👍 | Smoothies, protein shakes |
competitor_urls | 👍 | 1-3 URLs to analyze |
tone | Optional | Professional (default) / Friendly / Luxury / Urgent |
Step 2: Gather Keywords
If competitor URLs provided:
-
Fetch each competitor page:
Use web_fetch on each competitor URL. Extract: title, bullets/features, description, price, review count, brand name. -
If
web_fetchfails or returns incomplete data:Fallback: web_search for "[product title from URL]" site:[platform].com Extract data from search snippets. -
Parse competitor content and extract keywords in these categories:
- 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)
-
Expand beyond competitors:
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:
-
Discover keywords via web search:
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]" -
Extract keywords from top 5 results following the same categories above.
⚠️ Critical: Remove all competitor brand names — never include them in output.
Step 3: Score and Prioritize Keywords
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:
🔴 Primary (7-9 pts) → Title
🟡 Secondary (4-6 pts) → Bullets / Features
🟢 Tertiary (2-3 pts) → Description
⚪ Backend (1 pt) → Tags / Search Terms
Step 4: Generate Copy
Proceed to Generate Copy section.
Mode B Workflow — Optimize Existing Listing
Step 1: Analyze Current Listing
User may provide:
- Full listing copy (title, bullets, description pasted directly)
- Product URL (e.g.,
https://www.etsy.com/listing/123456) - Platform + product identifier (e.g., "Etsy listing 123456")
If user provides URL or identifier only:
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:
- All keywords currently present
- Structure and format used
- Obvious gaps (missing features, weak benefits, no FABE structure)
Step 2: Gather Target Keywords
If competitor URLs provided:
Follow the same competitor analysis process as Mode A Step 2:
web_fetcheach competitor URL- Extract their keywords
- Expand via web search
If 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
Step 3: Gap Analysis
Compare current keywords vs. target keywords:
## Keyword Gap Analysis
### ✅ Keywords You Already Have
| Keyword | Title | Bullets | Description |
|---------|-------|---------|-------------|
| yoga mat | ✅ | ✅ | ✅ |
| exercise mat | ❌ | ✅ | ❌ |
### ❌ Keywords You're Missing
| Keyword | Priority | Recommendation |
|---------|----------|----------------|
| non-slip | 🔴 High | Add to title |
| eco-friendly | 🟡 Medium | Add to bullet 2 |
| extra thick | 🟡 Medium | Add to bullet 3 |
Current Coverage: 12/20 keywords (60%)
Target Coverage: 90%+
Step 4: Rewrite
Generate optimized copy incorporating missing keywords.
Show Before → After for each component.
Proceed to Generate Copy section.
Generate Copy
Final step for all modes after keyword priority table is built.
Writing Framework: FABE
Apply to every bullet:
F — Feature: What the product HAS or DOES
A — Advantage: Why this is BETTER than alternatives
B — Benefit: What this MEANS for the customer
E — Evidence: Spec, number, or proof that backs the claim
Lead with the Benefit — customers buy outcomes, not features.
Example:
❌ "Made with BPA-free Tritan plastic"
✅ "SAFE FOR YOUR FAMILY — BPA-free Tritan plastic means no harmful chemicals leaching into your smoothies, even after 1000+ uses"
Platform-Specific Writing Rules
Amazon (Cosmo Algorithm)
- Title: Brand + Primary Keyword + Attribute + Attribute + Secondary Keyword, ≤200 chars
- Bullets: [CAPS HEADER] — Benefit-led sentence with 1-2 keywords embedded
- Description: Hook → Features → Use cases → What's in box → CTA
- Backend: Space-separated keywords, no duplicates, ≤250 bytes
- ⚠️ Cosmo tip: Use situational language (when/where/why), cover multiple use cases
- 💡 For advanced Amazon optimization, consider amazon-listing-optimization
eBay (Cassini Algorithm)
- Title: Front-load exact-match keywords, 80 chars max
- Description: Repeat top 3 keywords naturally throughout, include specs table in HTML
Walmart
- Title: Brand + product name + primary attribute, ≤75 chars
- Short Desc: One-sentence value prop with primary keyword
- Features: 10 attribute-focused bullets, one fact per bullet
Shopify/DTC (Google SEO)
- SEO Title: Primary keyword + brand, written for Google (not just product name)
- Meta Desc: Keyword + benefit + CTA, drives CTR from search results
- Description: Storytelling structure with
<h2>,<ul>,<strong>for on-page SEO
Etsy (Tag Matching)
- Title: Long-tail keyword phrase first, then style/material/occasion
- Description: Conversational, first 160 chars = meta description
- Tags: 13 tags (≤20 chars each), match phrases used in title exactly
TikTok Shop (Social Commerce)
- Title: Lead with problem or desire ("Tired of X?") → product → top feature
- Description: Hook → pain point → solution → 3 bullets → CTA. Conversational, emoji-friendly.
Lazada/Shopee
- Title: Brand + product + model + material + key attribute (completeness over cleverness)
- Highlights: 5 short bullets, one feature per line, spec-focused
- Description: Feature table + expanded use cases
Tone Guide
| 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.
Output Format
# ✅ Your Listing — Ready to Copy
Platform: [Platform] | Marketplace: [XX] | Tone: [Tone]
## Title
[title — copy directly into platform]
## Bullets / Features
1. [CAPS HEADER] — [text]
2. [CAPS HEADER] — [text]
3. [CAPS HEADER] — [text]
4. [CAPS HEADER] — [text]
5. [CAPS HEADER] — [text]
## Description
[description — copy directly into platform]
## Tags / Keywords
[keywords formatted per platform rules]
---
# 📊 Diagnostic Report
**Mode:** [A/B] | **Competitors analyzed:** [N] | **Keywords scored:** [N]
## Keyword Priority Table
| # | Keyword | Score | Tier | Placed In |
|---|---------|-------|------|-----------|
| 1 | [keyword] | 8 | 🔴 | Title |
| 2 | [keyword] | 6 | 🟡 | Bullet 1 |
## Keyword Coverage Map
| Keyword | Title | Bullets | Desc | Tags | Status |
|---------|-------|---------|------|------|--------|
| [kw] | ✅ | ✅ | ✅ | — | 🟢 |
| [kw] | ✅ | ❌ | ✅ | ✅ | 🟡 |
Coverage: X/Y keywords (Z%)
🟢 90%+ Excellent · 🟡 70-89% Good · 🔴 <70% Needs work
## ⚠️ Excluded Competitor Brands
[brands found in competitor copy — excluded from all output]
Integration with Other Skills
Looking for more e-commerce tools? Check out our other skill collections:
- Amazon Skills — Specialized tools for Amazon sellers: keyword research, listing optimization, PPC campaigns, sales estimation
- eCommerce Skills — Cross-platform tools for all e-commerce businesses
Limitations
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.
Part of Nexscope AI — AI tools for e-commerce sellers.
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