Product Description Generator

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/eCommerce-Skills/product-description-generatorThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its 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)…

---
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

```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 |
| **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:**

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):

| Dimension | Scoring |
|-----------|---------|
| **Frequency** | In 3+ competitor titles = 3 pts / In 1-2 = 2 pts / Bullets only = 1 pt |
| **Relevance** | Core

Excerpt, first 6,006 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -g

git clone https://github.com/nexscope-ai/eCommerce-Skills
git -C eCommerce-Skills checkout 3e6c611584c3

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 3e6c611584c3

Questions about Product Description Generator

• github.com/nexscope-ai/eCommerce-Skills/tree/main/product-descri — the audited source at commit 3e6c611584c3 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology