madguyevans-creator

madguyevans-creator / resale-agent-skill-hub

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AI-powered multi-platform C2C resale toolkit — 8 Claude Code skills + MCP server for automating second-hand selling

ai-agent c2c claude-code depop ebay
11
1
80% credibility
Found May 17, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SkillHub is an AI-powered assistant that helps everyday people sell their pre-owned belongings on multiple platforms at once. You start by taking a photo of an item you want to sell — maybe those old sneakers in your closet. The AI identifies exactly what it is, researches what similar items actually sold for across different resale platforms, and helps you set a minimum price you'll accept. You review a preview of how your listing will look, confirm it, and your item goes live on all platforms simultaneously. The system then monitors the market and automatically adjusts prices over time (while never going below your safety floor). When your item finally sells, it's automatically removed from all other platforms. Everything the AI does is recorded in a transparent log so you can always see and understand every decision made on your behalf.

How It Works

1
📸 You take a photo of something you want to sell

Snap a picture of your old sneakers, bag, or any item you no longer need. Upload it to your AI assistant.

2
🤖 AI instantly identifies your item

The AI looks at your photo and tells you exactly what it is — brand, model, condition, and any flaws. No guessing needed.

3
🔍 You see what similar items actually sold for

The system searches multiple resale platforms and shows you real prices from items that actually sold, not just asking prices.

4
🛡️ You set your safety floor price

Decide the lowest price you'd accept. The AI will never suggest going below this — your protection against selling too cheap.

5
You review and confirm your listing
🐟
Xianyu (Chinese platform)

Casual, friendly tone in Chinese

🌍
eBay or Depop

Professional, keyword-rich listings

🔄
Zhuanzhuan

Semi-formal inspection-style format

6
🚀 Your listings go live automatically

With one confirmation, your item appears on all your chosen platforms at once. No copy-pasting or retyping.

7
⏰ Prices adjust automatically over time

Your AI keeps watching the market. If prices rise, it can adjust your listing up. If they drop, it holds your floor. You stay competitive without constant checking.

🎉 When it sells, everything cleans up automatically

The moment your item sells on any platform, it's immediately removed from all the others. No awkward 'sorry, already sold' messages.

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AI-Generated Review

What is resale-agent-skill-hub?

This is an AI-powered toolkit that automates the tedious work of reselling second-hand goods across multiple platforms. Upload a photo of an item, and the system identifies the product, researches market prices, sets a safety floor price, publishes listings, and automatically adjusts prices over time. When something sells on one platform, it delists from all the others. Built in Python, it runs as an MCP server that plugs into Claude Desktop, Cursor, or the Claude Code CLI. The system uses your own logged-in session cookies rather than scraping, and ships with a full mock mode so you can test everything without real accounts.

Why is it gaining traction?

The hook is the complete pipeline: most tools handle one piece of this, but this chains together photo recognition, price research, floor protection, publishing, and auto-repricing in one workflow. The price shield is genuinely useful -- it acts as a hard floor that the AI can never go below, which is a real concern with automated pricing. The transparency log gives you an immutable record of every decision the agent makes, which builds trust. It speaks MCP natively, so it slots into existing AI coding workflows without friction.

Who should use this?

Resellers juggling listings across Xianyu, eBay, Depop, and similar platforms who are tired of manual price research and cross-platform updates. Developers building resale-focused applications can use the MCP server as a backend component. Hobbyist sellers who want to experiment with AI-assisted workflows without committing real money upfront -- the mock mode handles that.

Verdict

This is a thoughtfully designed system with a clear vision, but it is very early stage -- 11 stars and a credibility score of 0.80% mean you are adopting bleeding-edge software. Documentation is solid and there are 41 tests, which helps. Worth trying if the workflow fits your needs, but budget time for setup and expect to encounter rough edges.

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