Summary
This handles the grunt work of monitoring competitor prices across major ecommerce platforms like Amazon, Walmart, and Shopify stores. You tell it which products to track, and it sets up workflows to catch price drops, promotional patterns, and MAP violations. The workflow is conversational: it pulls details from your message, asks one follow-up with multiple choice options, then delivers structured recommendations with specific data points. Honest take: it's more about setting up the monitoring framework and analysis methodology than live scraping, so you'll need to connect it to actual price data sources. Useful if you're building competitive intelligence into your operations and want Claude to handle the strategic layer.
Install to Claude Code
npx -y skills add nexscope-ai/ecommerce-skills --skill competitor-price-tracker --agent claude-codeInstalls into .claude/skills of the current project.
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Files
SKILL.mdView on GitHub
Competitor Price Tracker 📊
Set up competitor price tracking and monitoring workflows. Track price changes, detect promotions, analyze pricing patterns, and get alerts for competitive price movements.
Supported platforms: Amazon, Shopify, WooCommerce, Walmart, TikTok Shop, Etsy, eBay, BigCommerce.
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Install
npx skills add nexscope-ai/eCommerce-Skills --skill competitor-price-tracker -g
Usage
Help me track pricing for 10 competitor products on Amazon. I want to know when they change prices or run promotions so I can respond quickly.
Capabilities
- Competitor price monitoring setup methodology
- Price change detection and alert framework
- Promotional pricing pattern analysis (frequency, depth, timing)
- Price war detection and response strategy
- MAP violation monitoring setup
- Historical price trend analysis methodology
How This Skill Works
Step 1: Collect information from the user's message — product, platform, current situation, and goals.
Step 2: Ask one follow-up with all remaining questions using multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Research and analyze using the frameworks and methodology below.
Step 4: Deliver structured, actionable output with specific recommendations, not vague advice.
Output Format
- Start with a summary of findings
- Include specific data points and benchmarks where available
- Provide prioritized action items
- Mark estimates with ⚠️ when based on incomplete data
- End with concrete next steps
Other Skills
More e-commerce skills: nexscope-ai/eCommerce-Skills
Amazon-specific skills: nexscope-ai/Amazon-Skills
Built by Nexscope — your AI assistant for smarter e-commerce decisions.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
