Social Media Analyzer
Analyzes social media content to identify trends, sentiment, and engagement metrics, boosting marketing insights & strategy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add nicepkg-social-media-analyzer npx -- -y @trustedskills/nicepkg-social-media-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"nicepkg-social-media-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/nicepkg-social-media-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The nicepkg-social-media-analyzer skill analyzes social media data to provide insights. It can identify trends, sentiment, and key topics being discussed within a specified dataset. This allows users to understand public perception and track brand reputation across various platforms.
When to use it
- Brand Monitoring: Track mentions of your company or product on social media to gauge public opinion.
- Campaign Analysis: Evaluate the performance of marketing campaigns by analyzing engagement and sentiment related to specific hashtags or keywords.
- Competitive Research: Understand what competitors are doing well (or poorly) based on their social media presence and audience interaction.
- Trend Identification: Discover emerging topics and conversations relevant to your industry or target audience.
Key capabilities
- Sentiment analysis of social media posts
- Topic identification from text data
- Trend detection within a dataset
- Analysis across various social media platforms (specific platforms not listed)
Example prompts
- "Analyze sentiment around the keyword 'AI' on Twitter over the last week."
- "Identify trending topics related to electric vehicles in Facebook posts this month."
- "What are people saying about our new product launch on Instagram?"
Tips & gotchas
The quality of analysis depends heavily on the data provided. Ensure you supply a relevant and sufficiently large dataset for accurate results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.