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Last commit on August 26, 2026·Created on March 10, 2026

nexscope-ai/Amazon-Skills

“A comprehensive toolkit for optimizing product visibility and conversion on the Amazon marketplace.”
Combined rank
#447
across all skills
In Marketing
#34
category rank
Stars
729
+2.5% in last 7d
Forks
126
+5.0% in last 7d
Watchers
11
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
Open on GitHub
TL;DR

This collection provides structured guidance for Amazon sellers to refine their store performance. It focuses on the technical and creative requirements of listing optimization, from backend search term strategies to the deployment of A+ Content.

By streamlining the process of brand registry enrollment and campaign management, the skill set helps sellers navigate the complexities of Sponsored Products and brand protection tools to improve search visibility.

WHO IT'S FOR
Amazon sellers
optimizing product listings and search visibility
E-commerce marketing specialists
managing Amazon PPC and advertising campaigns
Amazon brand managers
developing product storytelling and brand protection
AI agent power users
automating Amazon store management tasks
Repository contents

52 skill files

Categories
MarketingPrimary
SalesData
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
ClaudeCodexCursorOpenClawWindsurf

Use this skill collection

Follow the documented setup, then try a first task.

Setup

All 53 Amazon skills globally

Installs: Complete nexscope-ai/Amazon-Skills bundle containing all 53 skills; skillPaths is a bounded selection of positively supported paths, not the complete inventory. · OpenClaw, Claude Code, Cursor, Windsurf, Codex

Before you start
  • Amazon Brand Registry access is required when using the included amazon-brand-analytics skill.
  • Node.js with npx available for the documented installation command.
  • Python 3 is required to run the included calculator scripts.

  1. In a terminal, install the complete bundle globally.

    npx skills add nexscope-ai/Amazon-Skills -g
amazon-trending-products/SKILL.md ↗ · Checked Oct 2, 2026amazon-brand-analytics/SKILL.md ↗ · Checked Oct 2, 2026amazon-review-analyzer/SKILL.md ↗ · Checked Oct 2, 2026amazon-competitor-monitoring/SKILL.md ↗ · Checked Oct 2, 2026amazon-competitor-analysis/SKILL.md ↗ · Checked Oct 2, 2026amazon-keyword-research/SKILL.md ↗ · Checked Oct 2, 2026tariff-calculator-amazon/SKILL.md ↗ · Checked Oct 2, 2026README.md ↗ · Checked Oct 2, 2026amazon-fba-calculator/SKILL.md ↗ · Checked Oct 2, 2026

Give it something to do.

Suggested first task

Research one Amazon keyword

Uses amazon-keyword-research

  • A keyword phrase; replace "portable blender" with the product keyword to investigate if desired.
  • An Amazon marketplace; replace Amazon US with another supported marketplace if needed.

Check the repository for this skill’s setup.

Using the amazon-keyword-research skill, research the keyword "portable blender" on Amazon US.
amazon-keyword-research/SKILL.md ↗ · Checked Oct 2, 2026
Suggested first task

Find recurring competitor complaints

Uses amazon-review-analyzer

  • A competitor product or category; replace "competitor yoga mats" with the target.
  • Access to a visible sample of Amazon reviews or supplied review text.

Check the repository for this skill’s setup.

Using the amazon-review-analyzer skill, analyze reviews for competitor yoga mats and identify what customers are complaining about.
amazon-review-analyzer/SKILL.md ↗ · Checked Oct 2, 2026
Suggested first task

Find opportunities in Search Frequency Rank data

Uses amazon-brand-analytics

  • Amazon Brand Registry access.
  • A Search Frequency Rank data export.
  • A target keyword; replace "wireless earbuds" with the keyword to analyze.

Check the repository for this skill’s setup.

Using the amazon-brand-analytics skill, analyze my Search Frequency Rank data for "wireless earbuds" and show keyword opportunities and click share gaps.
amazon-brand-analytics/SKILL.md ↗ · Checked Oct 2, 2026
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