Social Media Analyzer
Analyzes social media content to identify trends, sentiment, and audience engagement, 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 social-media-analyzer npx -- -y @trustedskills/social-media-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"social-media-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/social-media-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The social-media-analyzer skill enables AI agents to process and analyze data from various social media platforms. It can extract insights such as audience engagement, sentiment analysis, trending topics, and content performance metrics.
When to use it
- To evaluate the effectiveness of a recent marketing campaign on Instagram or Twitter.
- For identifying emerging trends in user-generated content across multiple platforms.
- When preparing reports for stakeholders that require data-driven social media insights.
- To monitor brand sentiment during a product launch or public relations event.
Key capabilities
- Real-time sentiment analysis from social media posts.
- Extraction of engagement metrics (likes, shares, comments).
- Identification of trending topics and hashtags.
- Cross-platform content performance comparison.
Example prompts
- "Analyze the sentiment of tweets about our new product launch."
- "Compare engagement rates between Instagram and TikTok posts from last month."
- "Identify the top 5 trending hashtags related to our industry this week."
Tips & gotchas
- Ensure that social media data is accessed with proper permissions and in compliance with platform policies.
- The accuracy of sentiment analysis may vary depending on the language and context of the content analyzed.
Tags
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