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.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=nexscope-ai-ecommerce-skills-product-description-generator-skill-md&format=skill
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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 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_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 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_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%+ 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]
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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