
product-description-generator
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.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill product-description-generator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads product-description-generator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
FAQ
What does the product-description-generator skill do?
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.
How do I install product-description-generator?
Run npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill product-description-generator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/product-description-generator/ (personal) or .claude/skills/product-description-generator/ (project).
Which AI agents can use product-description-generator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is product-description-generator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains product-description-generator?
It is published by nexscope-ai in nexscope-ai/ecommerce-skills. It has 1,531 recorded installs.
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