Memstack Content Product Description logo

Memstack Content Product Description

Community
cwinvestments
memstack-content-product-description

Use this skill when the user says 'product description', 'product listing', 'product copy', 'Amazon listing', 'Shopify listing', 'e-commerce copy', or needs conversion-optimized product descriptions with benefit-driven headlines and platform-specific SEO. Do NOT use for pricing strategy or sales funnels.

Overview

Publishercwinvestments
Repositorymemstack
Skill namememstack-content-product-description
Stars
425
Forks
45
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cwinvestments on GitHub. Read the source before you install it.

Installation

Install the Memstack Content Product Description AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cwinvestments/memstack/tree/master/skills/content/product-description
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cwinvestments/memstack.git /tmp/memstack
mkdir -p .claude/skills
cp -r /tmp/memstack/skills/content/product-description .claude/skills/memstack-content-product-description
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memstack Content Product Description in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Memstack Content Product Description on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Memstack Content Product Description is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Description: Writing product copy...

Creates conversion-optimized product descriptions with feature-to-benefit conversion, sensory language, SEO keywords, A/B variants, and platform-specific formats for Amazon, Shopify, and Etsy.

Activation

When this skill activates, output:

Product Description: Writing product copy...

Then execute the protocol below.

Context Guard

ContextStatus
User says "product description", "product listing", "product copy"ACTIVE
User says "Amazon listing", "Shopify listing", "e-commerce copy"ACTIVE
User wants to write or improve copy for a product listingACTIVE
User wants to set pricingDORMANT: use Pricing Strategy
User wants a full sales funnelDORMANT: use Sales Funnel

Common Mistakes

MistakeWhy It's Wrong
"List features, not benefits""500mAh battery" means nothing. "Lasts 12 hours so you never run out mid-day" sells.
"Generic descriptions""High quality product" could describe anything. Be specific about WHAT makes it quality.
"Ignore the platform"Amazon, Shopify, and Etsy have different algorithms, formats, and buyer expectations.
"No keywords"E-commerce search is keyword-driven. No keywords = invisible in search results.
"One version only"A/B testing descriptions is easy and can improve conversion 10-30%. Write variants.

Protocol

Step 1: Gather Product Details

If the user hasn't provided details, ask:

  1. Product: what is it? (name, category, physical/digital)
  2. Features: what are its key specs and features? (list 5-10)
  3. Audience: who buys this? (demographics, use case, pain point)
  4. Platform: where is it listed? (Amazon, Shopify, Etsy, other)
  5. Price point: what does it cost? (affects copy tone and positioning)
  6. Competitors: what are the top 3 alternatives? (for differentiation)

Step 2: Feature-to-Benefit Conversion

Transform every feature into a customer benefit:

Feature (What It Is)Benefit (Why They Care)Emotional Trigger
[Technical spec][Practical outcome][Feeling it creates]

Examples:

Feature→ Benefit→ Emotional
"Made from organic cotton""Gentle on sensitive skin""Safe for your baby"
"5000mAh battery""Lasts 2 full days on one charge""Never stress about dying battery"
"Adjustable height: 28-36 inches""Fits any desk setup, standing or sitting""Work comfortably, your way"
"Ships in recyclable packaging""Zero waste delivery to your door""Feel good about your purchase"

Conversion formula:

[Feature] → so you can → [Benefit] → which means → [Emotional outcome]

Step 3: Write the Product Description

Universal structure:

markdown
## [Product Title: Keyword-Rich, Benefit-Driven]

### Opening Hook (1-2 sentences)
[Address the pain point or desire. Create an "I need that" reaction.]

### Key Benefits (bullet points)
• [Benefit 1], [supporting detail]
• [Benefit 2], [supporting detail]
• [Benefit 3], [supporting detail]
• [Benefit 4], [supporting detail]
• [Benefit 5]: [supporting detail]

### Body Description (2-3 short paragraphs)
[Paint a picture of using the product. Use sensory language.
Address the top objection. Include social proof if available.]

### Specifications
[Technical details for comparison shoppers]

### Call to Action
[Urgency or reassurance: "Order now" + guarantee or shipping info]

Sensory language guide:

SenseWordsUse For
TouchSilky, rugged, lightweight, cushioned, velvetyClothing, furniture, tools
SightVibrant, sleek, crystal-clear, polished, matteElectronics, decor, fashion
SoundWhisper-quiet, crisp, deep bass, silentElectronics, appliances
TasteRich, smooth, zesty, creamy, boldFood, beverages
SmellFresh, earthy, aromatic, clean, invigoratingCandles, skincare, food

Step 4: Platform-Specific Formatting

Amazon listing format:

markdown
## Product Title (200 characters max)
[Brand] [Product Name] ([Key Benefit] [Key Feature] [Size/Variant]) [Use Case]
Example: "EcoBottle Premium Insulated Water Bottle, Keeps Drinks Cold 24 Hours, BPA-Free Stainless Steel, 32oz: Perfect for Hiking & Gym"

## Bullet Points (5 bullets, 200 chars each)
• [BENEFIT IN CAPS]: [Explanation]. [Spec detail].
• [BENEFIT IN CAPS]: [Explanation]. [Spec detail].
• [BENEFIT IN CAPS]: [Explanation]. [Spec detail].
• [BENEFIT IN CAPS]: [Explanation]. [Spec detail].
• [BENEFIT IN CAPS]: [Explanation]. [Spec detail].

## Product Description (2000 chars max)
[Rich HTML-formatted description with headers, paragraphs, and bold text]

## Backend Keywords (250 bytes)
[Hidden keywords separated by spaces: no commas, no repeats, no brand names]

Shopify product page:

markdown
## Product Title
[Concise, descriptive, SEO-friendly: 60-70 characters]

## Price + Compare-at Price (if on sale)

## Short Description (visible above the fold)
[2-3 sentences: hook + primary benefit + social proof snippet]

## Full Description (tabbed or expandable)
### Why You'll Love It
[3-5 benefit bullets]

### How It Works
[Use case description or instructions]

### What's Included
[List of everything in the box/package]

### Specifications
[Technical details table]

## SEO
- Meta title: [Product]: [Benefit] | [Brand] (60 chars)
- Meta description: [Compelling summary with CTA] (155 chars)
- URL handle: /products/[keyword-slug]

Etsy listing:

markdown
## Title (140 characters)
[Keywords first: "Handmade [Product] for [Occasion]: [Key Feature] [Material] [Size]"]

## Description (first 160 chars appear in search)
[Hook sentence first: this shows in search preview]
[Full description with story element: why you made this, materials used, care instructions]
[Size guide / dimensions]
[Shipping information]
[Care instructions]
[Customization options]

## Tags (13 tags, 20 chars each)
[Long-tail keywords that match buyer search behavior]
[Focus on: material, use case, recipient, occasion, style]

## Attributes
[Fill ALL available attributes: material, color, occasion, style]

Step 5: SEO Keyword Integration

Keyword research for product listings:

Keyword TypeWhere to UseExample
Primary keywordTitle, first sentence of description"insulated water bottle"
Secondary keywordsBullet points, body description"BPA-free", "stainless steel", "cold 24 hours"
Long-tail keywordsBackend/tags, lower in description"best water bottle for hiking 2026"
Competitor keywordsBackend/tags"hydroflask alternative", "yeti competitor"

Keyword placement rules:

  • Primary keyword appears in: title, first bullet/sentence, one subheading
  • Don't keyword-stuff, read it aloud; if it sounds robotic, rewrite
  • Backend keywords (Amazon) or tags (Etsy) are invisible, use them for synonyms and misspellings
  • Use natural language, "water bottle that keeps drinks cold" beats "cold water bottle insulated"

Step 6: Write A/B Variants

Write 2 description variants to test:

markdown
## Variant A: Benefit-Led
[Opens with the primary benefit and emotional outcome]
"Never worry about your drink going warm again. The [Product] keeps
beverages ice-cold for 24 hours..."

## Variant B: Problem-Led
[Opens with the pain point the product solves]
"Tired of lukewarm water halfway through your hike? [Product] uses
double-wall vacuum insulation to keep your drinks cold all day..."

What to A/B test:

  • Headline approach (benefit-led vs. problem-led)
  • Bullet point order (most popular benefit first vs. most unique)
  • Description length (short punchy vs. detailed comprehensive)
  • CTA text ("Add to Cart" vs. "Get Yours Now" vs. "Buy Now: Free Shipping")

Step 7: Pre-Publish Checklist

  • Primary keyword in title and first sentence
  • All features converted to benefits (no naked specs)
  • Sensory language used where appropriate
  • Platform-specific format followed (Amazon bullets, Shopify tabs, Etsy story)
  • Backend keywords / tags filled in
  • Images referenced match description claims
  • Price and shipping info are accurate
  • Social proof included if available (reviews, awards, "bestseller")
  • Scannability: bullets, bold, short paragraphs
  • Read aloud, does it sound natural and persuasive?
  • Mobile preview checked (most shopping is mobile)

Output Format

markdown
# Product Description: [Product Name]

## Platform: [Amazon / Shopify / Etsy]
## Primary Keyword: [Keyword]

### Title
[Platform-optimized title]

### Description
[Full description following platform format from Step 4]

### SEO
[Keywords, meta tags, backend keywords]

### A/B Variant
[Second version for testing]

Completion

Product Description: Complete!

Product: [Name]
Platform: [Platform]
Primary keyword: [Keyword]
Benefits highlighted: [Count]
A/B variants: 2
SEO elements: Title, description, backend keywords

Next steps:
1. Upload to your platform using the formatted copy
2. Add high-quality images that match the description claims
3. Set up A/B test between Variant A and Variant B
4. Monitor conversion rate for 2 weeks before picking a winner
5. Update quarterly based on new reviews and competitor changes

Level History

  • Lv.1: Base: Feature-to-benefit conversion formula, sensory language guide (5 senses), universal product description structure, platform-specific formats (Amazon, Shopify, Etsy), SEO keyword integration with placement rules, A/B testing variants (benefit-led vs. problem-led), pre-publish checklist. (Origin: MemStack Pro v3.2, Mar 2026)

Frequently asked questions

What does the Memstack Content Product Description AI skill do?

Use this skill when the user says 'product description', 'product listing', 'product copy', 'Amazon listing', 'Shopify listing', 'e-commerce copy', or needs conversion-optimized product descriptions with benefit-driven headlines and platform-specific SEO. Do NOT use for pricing strategy or sales funnels.

Why use Memstack Content Product Description on TypingMind?

Because you install it once and use it with any model. Memstack Content Product Description is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Memstack Content Product Description in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cwinvestments/memstack/tree/master/skills/content/product-description. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memstack Content Product Description?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Memstack Content Product Description?

As many as you like. As long as a model supports skills, you can use Memstack Content Product Description with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Memstack Content Product Description AI skill free?

Yes. It is published on GitHub by cwinvestments under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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