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Product Description Skill

bynexscope-ai311GitHub starsGitHub

AI product description generator for e-commerce sellers. Create SEO-optimized listings with competitor research, keyword scoring, and FABE copywriting. Supports 8 platforms. Start free in seconds.

ecommerce
Result preview

Full Demo

Explore a real e-commerce product listing powered by this Skill.

Get started

Run Your First Task

  1. Screenshot of an AI chat interface showing the installation of the product-description-generator skill. At the top, a blue user message contains the command 'npx skills add' followed by a GitHub URL for the product-description-generator repository. Below, a large light-gray assistant response explains the installation process, including checking the SKILL.md format, attempting installation with Hermes, retrying with the npx skills add command, and confirming that the skill was installed in the ~/.agents/skills/ directory with a symlink under ~/.hermes/skills/. The summary states that product-description-generator was installed successfully and describes two operating modes: Mode A — Create, for writing new product listings for Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, or Shopee; and Mode B — Optimize, for improving existing listings through keyword gap analysis. The response also mentions competitor research, keyword scoring, FABE copywriting, web search, and page fetching. Clean white interface with rounded message panels, dark blue command bubble, black sans-serif text, and inline code styling.
    01

    Install

    Add the Product Description Generator Skill to your AI agent.

  2. Screenshot of an AI chat interface showing a detailed prompt for generating a high-converting e-commerce product listing strategy. The large dark blue user message instructs the AI to act as an award-winning E-commerce Copy Director and analyze product features, customer needs, target audience, use cases, brand positioning, competitor listings, marketplace requirements, and relevant search keywords. It requests an optimized product title, benefit-driven selling points, persuasive product description, search terms, platform-specific tags, and FABE-based copywriting for marketplaces including Amazon, eBay, Shopify, Etsy, Walmart, TikTok Shop, Lazada, and Shopee. The prompt also asks the AI to critique the initial listing, improve keyword coverage, message clarity, differentiation, structure, and conversion potential, then export the final result as a polished six-page PDF. The six-page structure includes Product Overview and Listing Strategy, Target Audience and Customer Needs, Competitor and Keyword Analysis, Optimized Title and Selling Points, Product Description, Tags and Search Terms, and Final Listing and Optimization Recommendations. Below, a light gray assistant response says it will load the product description generator and PDF generator skills, review reference files, and asks, 'what product are we listing?' because product-specific information is required before creating the listing or PDF. Clean white interface, rounded message panels, dark blue prompt block, black sans-serif text, and professional AI workflow presentation.
    02

    Describe Task

    Describe your product, target audience, brand positioning, and competitors to generate optimized titles, selling points, descriptions, and keywords.

  3. Cover page of an Amazon US e-commerce launch playbook for JOON AME botanical facial serum. The design uses a deep forest-green background with a narrow vertical gold line along the left edge. At the top, a rounded coral label reads 'AMAZON US LAUNCH PLAYBOOK.' The main editorial headline is set in large serif type: 'RADIANCE,' in white and 'REPOSITIONED.' in warm gold. Below, the subtitle reads, 'A conversion-led listing strategy for JOON AME botanical facial serum.' Near the bottom, a bold line states 'SEARCH / STORY / PROOF / PERFORMANCE,' followed by 'Six-page commerce copy direction | Prepared 16 July 2026.' Along the right edge, a cropped product image shows botanical flowers, green foliage, and part of a serum package labeled 'Botanical Hyaluronic Essence' with a circular '99.9' niacinamide badge. Premium magazine-style composition with elegant typography, strong color contrast, and a luxury botanical skincare aesthetic.
    03

    Generate Outcome

    Get actionable recommendations to strengthen keyword coverage, product differentiation, message clarity, and marketplace performance.

Install command

$ npx skills add https://github.com/nexscope-ai/eCommerce-Skills/blob/main/product-description-generator

About

Product description writing is a time‑consuming bottleneck for e-commerce sellers. This skill solves that by generating high‑converting, platform‑optimized listings in seconds. It helps Amazon, eBay, Etsy, Shopify, Walmart, TikTok Shop, Lazada, and Shopee merchants create titles, bullet points, descriptions, and backend keywords that rank higher and convert better—all without manual keyword research or copywriting expertise.

Unlike generic AI writers, this generator uses real competitor data to score and prioritize keywords, then applies the industry‑proven FABE framework (Feature‑Advantage‑Benefit‑Evidence) to every bullet. Dual modes let you create a new listing from scratch or analyze an existing one and fill keyword gaps. Each platform output respects exact character limits and algorithmic preferences, from Amazon's Cosmo model to Etsy's tag‑matching system.

Whether you're a solo Shopify store owner launching a new product, an agency handling multiple client catalogs, or an established brand refreshing underperforming SKUs, the workflow adapts. Simply provide product specs and optional competitor URLs; the skill does the rest—delivering a ready‑to‑copy listing and a diagnostic report that explains every keyword decision.

Key features

What makes it powerful

  • Eight-Platform Support

    Generate platform-specific copy for Amazon, eBay, Walmart, Shopify, Etsy, TikTok Shop, Lazada, and Shopee, each with exact character limits and formatting rules.

  • Dual Mode Workflow

    Choose Create mode to build a new listing from specs or Optimize mode to improve an existing one with keyword gap analysis, both backed by competitor research.

  • Competitor Keyword Intelligence

    Automatically analyzes competitor listings via web scraping to extract and score high-value keywords by frequency, relevance, and opportunity.

  • FABE Copywriting Framework

    Every bullet point follows Feature-Advantage-Benefit-Evidence structure, leading with customer outcomes to maximize conversion.

  • Diagnostic Reports

    Get a detailed keyword coverage map, priority table, and before/after comparison, so you know exactly why each word was chosen.

Use cases

When to reach for it

  • Launch a new Amazon product

    E-commerce sellers provide product specs and optional competitor URLs to instantly generate a full listing—title, bullets, description, and backend keywords—optimized for Amazon's Cosmo algorithm.

  • Revive an underperforming Etsy listing

    Shop owners paste an existing Etsy URL or copy; the skill finds missing keywords, rewrites tags and descriptions, and shows a coverage improvement report.

  • Craft SEO‑ready Shopify product pages

    DTC brands get Google‑optimized SEO titles, meta descriptions, and storytelling product descriptions with structured HTML for better search visibility.

  • Analyze competitor keyword strategy

    Marketing teams input competitor URLs to see which keywords drive rankings, where gaps exist, and how to outrank them with higher‑scoring terms.

SKILL.md


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

See: amazon-listing-optimization

Two Modes

ModeWhen to UseInput
A — CreateWriting a new listingProduct specs + optional competitor URLs
B — OptimizeImproving existing listingCurrent listing or URL + optional competitor URLs

Both modes support competitor analysis — just include competitor URLs to enable it.

Supported Platforms

PlatformOutput Components
AmazonTitle (≤200) + 5 Bullets (≤500 each) + Description (≤2000) + Backend (≤250 bytes)
eBayTitle (≤80) + HTML Description
WalmartTitle (≤75) + Short Desc (≤150) + 10 Features + Long Desc
Shopify/DTCSEO Title (≤60) + Meta Desc (≤160) + Product Description
EtsyTitle (≤140) + Description + 13 Tags (≤20 each)
TikTok ShopTitle (≤255) + Description (≤1000)
Lazada/ShopeeTitle (≤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

FieldRequiredExample
product_namePortable blender
platformEtsy
brandBlendJet
key_featuresUSB-C, 6 blades, BPA-free
specs380ml, 175W motor
target_audience👍Gym-goers, travelers
use_cases👍Smoothies, protein shakes
competitor_urls👍1-3 URLs to analyze
toneOptionalProfessional (default) / Friendly / Luxury / Urgent

Step 2: Gather Keywords

If competitor URLs provided:

  1. Fetch each competitor page:

    Use web_fetch on each competitor URL.
    Extract: title, bullets/features, description, price, review count, brand name.
    
  2. If web_fetch fails or returns incomplete data:

    Fallback: web_search for "[product title from URL]" site:[platform].com
    Extract data from search snippets.
    
  3. 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)
  4. 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:

  1. 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]"
    
  2. 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):

DimensionScoring
FrequencyIn 3+ competitor titles = 3 pts / In 1-2 = 2 pts / Bullets only = 1 pt
RelevanceCore descriptor = 3 pts / Feature = 2 pts / Peripheral = 1 pt
OpportunityFew 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:

  1. web_fetch each competitor URL
  2. Extract their keywords
  3. 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

ToneStyleBest For
ProfessionalAuthoritative, spec-focused, trust-buildingElectronics, tools, B2B
FriendlyConversational, benefit-focused, relatableKitchen, lifestyle, gifts
UrgentScarcity-driven, action words, problem-solvingHealth, safety, seasonal
LuxuryPremium, sensory language, exclusivityBeauty, 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