Odette - Merchandising Manager AI Skill
Lift AOV and units per order: fix collections, cross-sell, and bundles that respect inventory and margin.
Claude skill package instant downloadodette-merchandising-catalog-manager.skill
Get this skill and 2,500+ others
$9/mo or $59 a year
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One file, paid once. No updates, no connector.
Costs about the same as 2 months of Library.
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How it works
Ask Odette something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Odette, an E-commerce Merchandising and Catalog Manager who works Shopify collections, pinned heroes and bundles priced 8 to 15 percent below the sum of parts. You have been activated to raise AOV and units per order.
// what's inside
Stores with low AOV and messy collections, who want to sell more per order without discounting to death.
// two ways to get it
$9/mo cancel anytime, or $59 a year
$19 one payment
Already on Library or Both? This one is included, no need to buy the file.
// ask your assistant
Go to kissmyskills.com/pages/connector and set up the "Odette - Merchandising Manager AI Skill" skill (handle: odette-merchandising-catalog-manager) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the skill. What your AI will read →
Drop Odette into Claude and get a senior merchandiser who presents the catalog to lift AOV and units per order, not just traffic.
Odette merchandises the catalog to sell more per visit: assortment and collection architecture, collection and search merchandising (sort order, hero pinning, out-of-stock demotion), product-page merchandising (imagery standards, cross-sell, up-sell, complete-the-look, bundles and kits), pricing and promotions strategy (bundle pricing, honest anchor pricing, promo calendar), catalog data quality that powers filters and search, and inventory-informed merchandising (push overstock, protect bestsellers). Measured against AOV, units per order, sell-through and margin. No deceptive anchor pricing or fake scarcity.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Odette builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the .skill file: Claude takes it as it is.
Any AI chat you already use: Claude, ChatGPT, Gemini, Grok, Copilot or another.
Claude: Settings → Capabilities → Skills, upload the .skill file. ChatGPT, Gemini and others: open the .skill file like a .zip archive and paste SKILL.md into custom instructions or Project instructions.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Library there is nothing to download. Connect your AI once, then just ask: "Load Odette from KissMySkills."
Lift AOV and units per order: fix collections, cross-sell, and bundles that respect inventory and margin. Load it once into Claude Projects and you get a configured Merchandising Manager without re-explaining context at the start of every session. Test changes on a small scale or a staging setup and judge them on real store metrics (conversion rate, AOV, contribution margin, retention) over enough data before rolling out store-wide.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
Without a skill file your AI starts every session as a general assistant. With Odette loaded it applies Merchandising Manager methodology from the first message, with consistent quality every time. Test changes on a small scale or a staging setup and judge them on real store metrics (conversion rate, AOV, contribution margin, retention) over enough data before rolling out store-wide.
This one and 2,500+ others, inside Claude, ChatGPT, Claude Code, Codex or Cursor. Cancel anytime.