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mcp/skillhub

Agent Skill

Amazon Deal Finder skill

amazon-deal-findernexscope-ai/Amazon-Skillsamazon-deal-finder/SKILL.md

Amazon deal planning and promotional strategy optimization. Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts analysis and ROI calculation. Deal eligibility assessment, timing optimization, and promotional campaign planning. Use when the user asks about Amazon deals, Lightning Deals, promotional planning, deal strategy, or Amazon promotions.

786MIT

always on

64 tokname + description

once used

3,664 tokSKILL.md body

bundled files

0

repo stars

786GitHub

Install the Amazon Deal Finder skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/nexscope-ai/Amazon-Skills --skill amazon-deal-finder

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/nexscope-ai/Amazon-Skills.git /tmp/Amazon-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Amazon-Skills/amazon-deal-finder ~/.claude/skills/amazon-deal-finder

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description64 tok
When the agent uses itThe SKILL.md instructions3,664 tok
Only if openedNo bundled files—

Until it is used, amazon-deal-finder costs about 21× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 52 skills from nexscope-ai/Amazon-Skills would load 3,081 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Amazon Deal Finder ⚡
  • Installation
  • Usage Examples
  • Core Capabilities
  • 1. Deal Type Analysis & Strategy Selection
  • 2. Product Selection & Optimization
  • 3. Performance Tracking & Campaign Management
  • How It Works
  • Step 1: Deal Analysis & Strategic Planning
  • Step 2: Campaign Development & Optimization
  • Step 3: Execution & Performance Monitoring
  • Output Format
  • Integration with Nexscope
  • Best Practices

More skills from nexscope-ai/Amazon-Skills

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    Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.

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  2. amazon-a-plus-contentnexscope-ai/Amazon-Skills

    Amazon A+ Content strategy and creation. Module layouts, persuasive copy, comparison charts, image briefs, and conversion optimization. Use when the user asks about A+ Content, Enhanced Brand Content, product storytelling, or Amazon listing enhancement.

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  3. amazon-advertising-strategynexscope-ai/Amazon-Skills

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  4. amazon-backend-keywordsnexscope-ai/Amazon-Skills

    Amazon backend search term optimization and strategy. 250-byte limit management, keyword deduplication, prioritization frameworks, and search visibility optimization. Use when the user asks about backend keywords, search terms, Amazon SEO, or keyword optimization.

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  5. amazon-brand-analyticsnexscope-ai/Amazon-Skills

    Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.

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  6. amazon-brand-registrynexscope-ai/Amazon-Skills

    Brand Registry enrollment guide — eligibility, application, benefits, A+ Content access, brand protection tools

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  7. amazon-brand-tailored-promotionsnexscope-ai/Amazon-Skills

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  8. amazon-buy-boxnexscope-ai/Amazon-Skills

    Amazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics. Use when the user asks about Amazon Buy Box, winning Buy Box, Buy Box eligibility, or Buy Box optimization.

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