Agent skill · Backend & API

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.

nexscope-aigithub.com/nexscope-aiGitHub ↗
claude-codeMIT
Install
npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Path: product-description-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 580
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ```bash npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -g ``` > **For Amazon listings**, use our dedicated skill with Cosmo algorithm optimization: > ```bash > npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g > ``` > See: [amazon-listing-optimization](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-listing-optimization) ## 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 | | **Wal

What's inside
Steps it walks through
  1. Installation
  2. Two Modes
  3. Supported Platforms
  4. Usage Examples
  5. Mode A — Create
  6. Mode B — Optimize
  7. Handling Incomplete Input
  8. Mode A Workflow — Create New Listing
  9. Step 1: Collect Product Info
  10. Step 2: Gather Keywords
  11. Step 3: Score and Prioritize Keywords
  12. Step 4: Generate Copy
  13. Mode B Workflow — Optimize Existing Listing
  14. Step 1: Analyze Current Listing
Commands it runs
npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -g
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g
More from eCommerce-Skills
All skills →
About this skill
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 it?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From nexscope-ai/eCommerce-Skills, a repository with 580 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going