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social-media-monitor

social-media-monitor

github.com/nexscope-aiMarketing & growth1.3k1.1k installsUpdated 9w ago
Repository

About social-media-monitor

A social media monitoring skill for e-commerce brands. It helps plan listening across platforms and track sentiment, competitor activity, influencer mentions, and user-generated content.

Key features

  1. 01Set up keyword and hashtag listening
  2. 02Plan platform-specific monitoring
  3. 03Track sentiment and competitors
  4. 04Find influencer mentions and UGC
  5. 05Develop a crisis response framework

Use cases

  1. 01Monitoring brand mentions across TikTok and other platforms
  2. 02Tracking competitors' social activity
  3. 03Finding user-generated content for marketing
  4. 04Preparing a social media crisis response

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/nexscope-ai/ecommerce-skills --skill social-media-monitor

After installing, type/social-media-monitorin Claude Code to confirm it loaded.

Details

From the project README

Social Media Monitor 📱

Monitor social media mentions, trends, and competitor activity for e-commerce brands. Set up listening workflows across Reddit, TikTok, Instagram, Twitter/X, and YouTube.

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 social-media-monitor -g

Usage

Set up social media monitoring for my skincare brand. I want to track mentions on TikTok, Instagram, and Reddit. Also monitor 3 competitors.

Capabilities

  • Social listening keyword and hashtag setup
  • Platform-specific monitoring strategy (Reddit, TikTok, Instagram, Twitter, YouTube)
  • Sentiment tracking methodology
  • Competitor social media activity tracking
  • Influencer mention detection
  • Crisis detection and response framework
  • UGC (user-generated content) discovery for marketing

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.

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