Comment Analyzer

🌐Community
by anton-abyzov · vlatest · Repository

Analyzes comments for sentiment, keywords, and themes to understand audience reactions and extract valuable insights quickly.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add comment-analyzer npx -- -y @trustedskills/comment-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "comment-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/comment-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The Comment Analyzer skill provides analysis of text comments. It can identify sentiment, extract key themes or topics, and categorize comments based on predefined criteria. This allows for efficient processing and understanding of large volumes of textual feedback.

When to use it

  • Analyzing customer reviews to understand product satisfaction.
  • Categorizing social media comments to track brand perception.
  • Summarizing feedback from online forums or discussion boards.
  • Identifying potential issues raised in user support tickets.

Key capabilities

  • Sentiment analysis (positive, negative, neutral)
  • Topic extraction
  • Comment categorization

Example prompts

  • "Analyze the sentiment of this comment: 'The product was amazing!'"
  • "Extract the key topics from these comments about our new feature."
  • "Categorize this comment as either a bug report or a feature request: 'I'm having trouble with X.'"

Tips & gotchas

The accuracy of analysis depends on the clarity and context of the input comments. Providing sufficient context can improve results.

Tags

🛡️

TrustedSkills Verification

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Security Audits

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Details

Version
vlatest
License
Author
anton-abyzov
Installs
10

🌐 Community

Passed automated security scans.