Feedback Analyzer
Analyzes user feedback to identify key themes and sentiment, streamlining insights for product improvement and customer understanding.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add jmsktm-feedback-analyzer npx -- -y @trustedskills/jmsktm-feedback-analyzer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"jmsktm-feedback-analyzer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/jmsktm-feedback-analyzer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Feedback Analyzer skill provides a way to analyze feedback text and extract key insights. It can identify sentiment, categorize topics within the feedback, and summarize overall themes. This allows users to quickly understand customer opinions or evaluate responses from AI agents.
When to use it
- Analyzing customer reviews for product improvement.
- Evaluating the quality of responses generated by an AI chatbot.
- Summarizing survey results to identify common concerns.
- Gauging public reaction to a new marketing campaign.
Key capabilities
- Sentiment analysis (positive, negative, neutral)
- Topic categorization
- Feedback summarization
Example prompts
- "Analyze this customer review: 'The product was great but the shipping took too long.'"
- "Summarize these survey responses about our new feature."
- "What is the overall sentiment expressed in this collection of feedback?"
Tips & gotchas
This skill requires a clear and concise input text for accurate analysis. Very short or ambiguous feedback may yield less reliable results.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.