zach22-1999

zach22-1999 / amazon-skills

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Amazon product research skill powered by Sorftime MCP + Claude Code. 基于 Sorftime MCP 的亚马逊选品分析 Skill。

17
3
100% credibility
Found Mar 18, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

An open-source collection of AI workflows that help Amazon sellers analyze product markets using external data services to generate detailed research reports, dashboards, and spreadsheets.

How It Works

1
🛒 Discover the product scout

You find this AI helper designed for Amazon sellers to quickly scan markets and spot winning products.

2
📋 Get market data access

Sign up for a service like Sorftime that provides real Amazon sales and competitor info, grabbing your access pass.

3
💻 Prepare your AI workspace

Open an AI chat tool like Claude Code, make a new folder for your selling projects, and add a simple helper program.

4
📂 Drop in the skill files

Copy the ready-made analysis instructions into your workspace so the AI can follow your exact scouting steps.

5
🔍 Ask for product research

Chat with the AI using a simple phrase like 'research bluetooth speakers in the US' and it starts hunting for opportunities.

6
⚙️ AI does the heavy lifting

The tool pulls fresh market data, compares competitors, finds gaps, and scores ideas automatically.

📊 Get your decision toolkit

Celebrate with polished reports, interactive charts, Excel data, and clear go/no-go advice to pick your next bestseller.

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AI-Generated Review

What is amazon-skills?

This amazon github repo delivers an AI-powered skill for Amazon product research, pulling live market data via Sorftime MCP into Claude Code or Cursor. Feed it a keyword like "bluetooth speaker" and a site like US, and it scans categories, analyzes Top100 products, competitor reviews, price history, and opportunity gaps, spitting out Markdown reports, HTML dashboards, Excel sheets, and JSON payloads. It's an amazon skills toolkit that automates selection from scan to Go/No-Go, solving manual data drudgery for sellers eyeing amazon product api alternatives.

Why is it gaining traction?

Unlike basic amazon product advertising api scrapers, it leverages MCP for real-time Sorftime data—no copy-pasting Top100 lists—delivering cross-analysis, VOC pain points, and barrier scores in polished, shareable formats. The hook: slash hours on amazon product opportunity explorer workflows with natural language prompts like "/zach-product-research yoga mat GB", plus Python rendering for custom Excel and interactive viz. Devs dig the SOP-to-AI bridge, making it a smart amazon github mcp play over clunky amazon github apps.

Who should use this?

Amazon sellers validating niches, e-com ops teams hunting low-review high-sales gaps, or product testers dodging amazon product safety team email fakes by spotting real reviewer trends. Ideal for跨境电商 pros on Claude/Cursor grinding daily keyword details, category reports, or 1688 sourcing matches—skip if you're not in amazon skills aktivieren mode.

Verdict

Grab it if you're deep in Amazon product research—docs are thorough, setup's straightforward with free Sorftime trials, and outputs impress despite 17 stars and 1.0% credibility signaling early maturity. Test on a niche first; it's raw but scales your edge over manual amazon github clones.

(198 words)

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