Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .claude/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .agents/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .cursor/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .gemini/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .github/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "product-description-generator" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/product-description-generator into .opencode/skills/product-description-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-description-generator", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
product-description-generator
GitHub stars
1.1k
Token cost
~3.3k tokens
SKILL.md length
897 words
Files
1
Skills in repo
114
Repo updated
First seen
Licence
MIT
At a glance
E-commerce product description generator for any platform. An agent skill from nexscope-ai/eCommerce-Skills.
Works in 8 steps: Collect Product Info → Gather Keywords → Score and Prioritize Keywords → …
Writing a new product listing
SKILL.md covers Installation, Two Modes, Supported Platforms and Usage Examples, plus 7 more sections
Calls npx; reaches github.com and ebay.co.uk
What it does
Product Description Generator is an agent skill from nexscope-ai/eCommerce-Skills. 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…
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Copywriting, E-commerce operations and Competitor analysis. It works with Shopify and TikTok. The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.
When your agent uses it
Writing a new product listing
Analyzing what makes competitors rank
Improving an underperforming listing
Example prompts
“/product-description-generator”
Requirements
Node.js
Workflow steps
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
ebay.co.uk
etsy.com
amazon.com
walmart.com
Also links to:
nexscope.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Product Description Generator loads about 3.3k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 897 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~155
When it runs· the whole SKILL.md, loaded when a task matches
~3.3k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/product-description-generator/SKILL.md (or your agent's skills folder).
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.
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.
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.
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_fetch fails 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
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_fetch each 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%+
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"
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.
Product Description Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Product Description Generator compared with similar skills
Skill
Stars
Used in
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Repo updated
Product Description Generator this skillnexscope-ai/eCommerce-Skills
A skill your agent uses when the user needs PAID ad copy for Meta, Google, or TikTok — six variants across TOFU, MOFU, and BOFU using AIDA, PAS, and BAB, respecting each platform character limit and…
Turns product details, packaging, target platform and audience into an executable e-commerce image plan with copy, storyboards, image prompts and a compliance review.
A skill your agent uses when the user says 'product description', 'product listing', 'product copy', 'Amazon listing', 'Shopify listing', 'e-commerce copy', or needs conversion-optimized product…
E-commerce product description generator for any platform. An agent skill from nexscope-ai/eCommerce-Skills. Product Description Generator is an agent skill from nexscope-ai/eCommerce-Skills. E-commerce product description generator for any platform.
When should I use Product Description Generator?
Product Description Generator fits situations like: writing a new product listing; analyzing what makes competitors rank; improving an underperforming listing.
How do I install Product Description Generator in Claude Code?
Run `npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a claude-code`. Or copy the skill folder (product-description-generator in nexscope-ai/eCommerce-Skills) into .claude/skills/product-description-generator in your project. Claude Code loads it when a task matches its description.
How do I install Product Description Generator in Codex?
Run `npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a codex`. Or copy the skill folder (product-description-generator in nexscope-ai/eCommerce-Skills) into .agents/skills/product-description-generator in your project. Codex loads it when a task matches its description.
Can I use Product Description Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/eCommerce-Skills --skill product-description-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-description-generator, .gemini/skills/product-description-generator, .github/skills/product-description-generator and .opencode/skills/product-description-generator in your project.
What does Product Description Generator need to run?
Going by SKILL.md and its folder, Product Description Generator needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Product Description Generator access the network?
SKILL.md names 6 domains. In commands or code: github.com, ebay.co.uk, etsy.com, amazon.com and walmart.com; the agent is likely to contact these when it follows the instructions. As links in the text: nexscope.ai. This is read from the text; nothing was executed.
Is Product Description Generator safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Product Description Generator use?
Product Description Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Product Description Generator use?
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Product Description Generator?
Skills that share tags, products or a category with Product Description Generator: 05 Ad Copy Global (minhnv0807/ai-business-skills, 610 stars), E-commerce Visual Copywriting (feichanggege/ecommerce-visual-copywriting-skill, 858 stars), Memstack Content Product Description (cwinvestments/memstack, 423 stars) and Ecommerce Content Marketing (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Description Generator?
nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,104 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.
Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
