Analyzing User Feedback
Analyzes user feedback to identify key themes and sentiment, helping you understand customer needs and improve your product or service.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add analyzing-user-feedback npx -- -y @trustedskills/analyzing-user-feedback
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"analyzing-user-feedback": {
"command": "npx",
"args": [
"-y",
"@trustedskills/analyzing-user-feedback"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The analyzing-user-feedback skill enables AI agents to process and interpret user feedback effectively. It identifies common themes, sentiments, and actionable insights from text-based input such as reviews, surveys, or comments.
When to use it
- To extract customer sentiment from product reviews for quality improvement.
- To analyze survey responses and identify areas needing attention in a service or product.
- To monitor social media feedback and gauge public perception of a brand or campaign.
Key capabilities
- Sentiment analysis of text data
- Identification of recurring themes or patterns in feedback
- Extraction of actionable insights for improvement
Example prompts
- "Analyze this customer review and identify the main sentiment and key issues mentioned."
- "Summarize the common complaints from these survey responses."
- "Extract insights from user comments about our new feature launch."
Tips & gotchas
- Ensure feedback data is clean and relevant for accurate analysis.
- Be aware that nuanced or sarcasm-heavy text may require additional context for proper interpretation.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.