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Feedback Analyzer

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eddiebe147·vlatest·other

Analyzes user feedback to identify key themes and sentiment, offering valuable insights for product improvement and customer understanding.

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This skill no longer installs under the name feedback-analyzer. eddiebe147/claude-settings is deleted or private, so it cannot be installed from.

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What we know about this skill

Publisher

eddiebe147

Taken from the source listing. We haven't verified who controls this account.

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Live repository

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Not scanned. repository not found or private Source recorded as eddiebe147/claude-settings.
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About this skill

What it does

The Feedback Analyzer skill processes user input to extract and categorize specific feedback data. It helps AI agents understand sentiment, identify key topics, and summarize actionable insights from raw text.

When to use it

  • Reviewing customer support tickets to detect recurring complaints.
  • Analyzing open-ended survey responses for qualitative trends.
  • Summarizing meeting transcripts to highlight team suggestions or concerns.
  • Evaluating code pull requests for constructive criticism and praise.

Key capabilities

  • Sentiment detection within text blocks.
  • Topic extraction and categorization.
  • Structured summarization of unstructured feedback.
  • Actionable insight generation based on input analysis.

Example prompts

  • "Analyze these 50 customer reviews and summarize the top three positive themes."
  • "Extract all negative feedback regarding the new login feature from this dataset."
  • "Categorize the following survey responses by sentiment and provide a brief summary for each category."

Tips & gotchas

Ensure input text is clean and free of excessive noise, as raw data quality directly impacts analysis accuracy. For best results, specify the desired output format (e.g., JSON, bullet points) in your prompt to match downstream workflow requirements.