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🛒 E-commerce & Retail skill suite derived from borghei/Claude-Skills.

22
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69% credibility
Found May 03, 2026 at 22 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A collection of specialized AI commands and multi-step workflows tailored for e-commerce and retail tasks like product optimization, pricing strategies, and customer retention, designed for use in Claude AI sessions.

How It Works

1
🛒 Discover the Skills Suite

You hear about a handy pack of AI tools made just for online store owners to boost sales and customer happiness.

2
📥 Add to Your AI Helper

You simply copy the skills pack into a special folder where your AI assistant can find and use them.

3
💬 Start a Chat Session

Open your AI chat and tell it to read the new skills so they're ready to help.

4
✨ Try a Quick Command

Type something like '/product-copy' with your product details and watch your AI create catchy titles, descriptions, and tips to sell better.

5
📊 See Clear Results

Your AI shows a progress panel, score tables sorted by importance, and checklists of easy wins to fix your store right away.

6
🚀 Run a Full Workflow

Start a bigger process like 'product-launch' and your AI handles copy, images, ads, and more step by step with updates.

🎉 Boost Your Store

Now your products convert better, prices are smart, and campaigns run smoothly, helping more customers buy and love your shop.

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AI-Generated Review

What is r14-borghei-claude-skills-ecommerce?

This GitHub repo delivers a suite of 10 commands and 5 multi-step workflows tailored for Claude AI, handling e-commerce tasks like product copy optimization, dynamic pricing strategies, cart abandonment emails, and inventory forecasts. Derived from borghei/Claude-Skills, it targets retail pain points—conversion rate tweaks, customer segmentation, returns analysis—via structured outputs with progress panels, findings tables, and action checklists. Users get a consistent UI in Claude Code sessions, invoked via slashes like `/product-copy` or `/workflows:product-launch`, turning vague specs into prioritized plans.

Why is it gaining traction?

Unlike generic e-commerce GitHub projects in Flutter, HTML/CSS/JS, Laravel, Next.js, or PHP, this stands out with domain-specific Claude skills for retailers, including CRO audits and marketplace expansions, plus visual progress tracking and severity-sorted recommendations. The hook is its end-to-end workflows—like full product launches or seasonal campaigns—that chain commands seamlessly, saving hours on repetitive retail analytics. With 19 stars, it's pulling indie devs seeking quick e-commerce retailer tools without building from scratch.

Who should use this?

E-commerce operators auditing Amazon listings or forecasting inventory. Indie hackers launching products who need copy, bundles, and SEO briefs fast. Retail marketers running retention flows or A/B sprints, especially those already in Claude for AI-assisted workflows.

Verdict

Worth a quick clone for Claude users tackling e-commerce retailer tasks—solid docs and MIT license make it low-risk, despite 19 stars and 0.7% credibility signaling early maturity. Test one workflow; if structured outputs click, it'll boost your retail ops, but expect tweaks for production scale.

(198 words)

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