nexscope-ai

Free AI agent skills for Amazon sellers— keyword research, competitor analysis, listing audit & more. Works with OpenClaw, Claude Code, Cursor, Windsurf, Codex and any agent that supports the Skills format.

60
0
69% credibility
Found Mar 23, 2026 at 60 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of free skills for AI agents that help Amazon sellers with keyword research, listing optimization, FBA fee calculations, PPC campaigns, sales estimation, and tariff computations using public data across multiple marketplaces.

How It Works

1
🌟 Discover Amazon Helper Tools

You find a set of free tools that make your AI assistant a pro at Amazon selling tasks like finding keywords and calculating profits.

2
📦 Add Skills to Your AI

You easily add these handy skills to your AI companion so it can help with Amazon work right away.

3
💬 Chat Naturally with AI

You simply tell your AI things like 'Research portable blender keywords on Amazon US' and it knows exactly what to do.

4
🔍 Get Keyword Ideas

Your AI pulls smart keyword suggestions, competition details, and market tips to boost your product visibility.

5
💰 Crunch Numbers and Optimize

Ask about fees, sales estimates, listings, or tariffs, and your AI delivers clear breakdowns and smart advice.

🚀 Grow Your Amazon Business

With these insights, you make better decisions, cut costs, and watch your sales climb effortlessly.

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Star Growth

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AI-Generated Review

What is Amazon-Skills?

This Python repo delivers free AI agent skills for Amazon sellers, tackling keyword research from autocomplete, competitor listing audits, FBA fee breakdowns, PPC campaign builders, sales estimators, and tariff calcs across 12 marketplaces like US, UK, DE. Install via npx skills add nexscope-ai/Amazon-Skills, then query naturally in OpenClaw, Claude Code, Cursor, Windsurf, or any Skills format tool—no API keys or subscriptions needed. It turns public Amazon data into instant insights for listings and profits.

Why is it gaining traction?

Zero setup friction stands out: drop-in skills for existing AI agents, pulling real-time autocomplete and page data without paid tools. Multi-marketplace support and natural language usage hook devs tired of manual scraping or pricey APIs. At 60 stars, it's niche but practical for ecom automation.

Who should use this?

Amazon FBA sellers optimizing listings or estimating fees daily. Ecom ops teams auditing competitors across EU or JP markets. AI workflow builders extending Cursor/Claude for seller tasks like PPC bids or tariff routes from China to US.

Verdict

Worth adding for quick Amazon skills wins if you're already in agent ecosystems—MIT licensed with clear README examples. 0.7% credibility score and 60 stars mean it's early; validate outputs as public scraping can shift.

(198 words)

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