Comment Analyzer
This tool analyzes comments to identify sentiment and key themes, providing valuable insights for understanding audience reactions and improving communication.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add paulkinlan-comment-analyzer npx -- -y @trustedskills/paulkinlan-comment-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"paulkinlan-comment-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/paulkinlan-comment-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The paulkinlan-comment-analyzer skill analyzes text comments to determine their sentiment and extract key topics. It can identify whether a comment is positive, negative, or neutral, and provide a summary of the main subjects discussed within the comment. This allows for quick understanding of large volumes of user feedback or discussion threads.
When to use it
- Analyzing customer reviews: Quickly gauge overall sentiment towards a product or service from online reviews.
- Monitoring social media discussions: Understand public opinion and identify trending topics related to a brand or event.
- Summarizing forum posts: Efficiently process lengthy discussion threads by extracting key themes and sentiments.
- Filtering feedback: Automatically categorize comments based on sentiment for prioritization or routing.
Key capabilities
- Sentiment analysis (positive, negative, neutral)
- Topic extraction
- Comment summarization
Example prompts
- "Analyze the sentiment of this comment: 'This product is amazing! I love how easy it is to use.'"
- "What are the main topics discussed in this customer review?"
- "Summarize these comments about our new feature."
Tips & gotchas
The accuracy of topic extraction may vary depending on the complexity and clarity of the input comment. Providing clear, well-written comments will yield better results.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.