Installation

1. 1
   Make sure Claude is on your device and in your terminal.

   Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

   One-time setup

   Copy

   npm i -g @anthropic-ai/claude-code

   Already have it? Skip ahead.

2. 2
   Paste into Claude Code or into your terminal.

   Install

   Sign up to copy

   git clone ht••••••••••••••••••••••••••••••••••••••••••••••••• •••••••••••••••••••••••••••••••••• •• ••••• •• •••••••••••••••••••••••••••••••••••••••••••••••••••• •• •• •• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •••••••••••••••••••••••••••••••••••••••••••••••••••••

   Sign up free to reveal

   This copies the whole skill folder into ~/.claude/skills/brand-protection-amazon-nexscope-ai/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

   Faster alternative (instruction-only skills)

   Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

   Quick install (SKILL.md only)

   Sign up to copy

   mkdir -p ~/.••••••••••••••••••••••••••••••••••••••••••••••••• •• •••• ••••• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •• •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••

   Sign up free to reveal
3. 3
   Restart Claude Code.

   Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

4. 4
   Just ask Claude.

   Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Amazon brand protection toolkit. Detect hijackers, counterfeits, and unauthorized sellers. Includes MAP violation monitoring, trademark abuse detection, complaint templates for Brand Registry, and test buy evidence collection guides. No API key required.

What this skill does

npx skills add nexscope-ai/eCommerce-Skills --skill brand-protection-amazon -g

{
  "brand_name": "YourBrand",
  "trademark_number": "US12345678",
  "brand_registry": true,
  "authorized_sellers": ["A1B2C3D4E5F6G7"],
  "protected_asins": ["B08XXXXXX1"],
  "min_price": 29.99
}

python3 scripts/detector.py

# Brand Registry complaint
python3 scripts/templates.py complaint

# Cease & Desist letter
python3 scripts/templates.py cease-desist

# Test buy guide
python3 scripts/templates.py testbuy

🛡️ Brand Protection Report

Brand: YourBrand
ASINs Monitored: 5
Analysis Date: 2024-01-15

━━━━━━━━━━━━━━━━━━━━━━━━

🔴 HIGH RISK ALERTS

ASIN: B08XXXXXX1
├── 3 unauthorized sellers detected
├── Lowest price: $19.99 (MAP: $29.99)
└── Action: File Brand Registry complaint

━━━━━━━━━━━━━━━━━━━━━━━━

⚠️ COUNTERFEIT SIGNALS

Reviews mentioning "fake": 5
Reviews mentioning "not authentic": 2
Recommendation: Order test buy

Monitor Listings
      ↓
Detect Violation
      ↓
Collect Evidence (Test Buy)
      ↓
Generate Complaint
      ↓
Submit to Amazon / Send C&D
      ↓
Track Resolution