Sentiment Feedback Loop

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by gtmagents · vlatest · Repository

This skill continuously analyzes user interactions & adjusts responses based on detected sentiment, refining communication for optimal engagement and satisfaction.

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 sentiment-feedback-loop npx -- -y @trustedskills/sentiment-feedback-loop
2

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

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

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

About This Skill

What it does

The sentiment-feedback-loop skill enables AI agents to analyze user feedback and adjust their responses accordingly. It can identify shifts in user sentiment (positive, negative, neutral) during a conversation and adapt its tone or approach to improve engagement. This creates a dynamic interaction where the agent learns from real-time user reactions.

When to use it

  • Customer service bots: To dynamically adjust language based on customer frustration levels.
  • Interactive storytelling: To modify plot points or character interactions based on audience emotional responses.
  • Educational tutors: To adapt teaching style and content difficulty based on student engagement and understanding.
  • Virtual assistants: To personalize the interaction by recognizing user sentiment and responding appropriately.

Key capabilities

  • Sentiment analysis of user input
  • Dynamic adjustment of agent response tone
  • Real-time feedback integration
  • Adaptive learning from user reactions

Example prompts

  • "Analyze the following conversation excerpt for sentiment: [conversation text]"
  • "If the user expresses frustration, respond with empathy and offer assistance."
  • "Adjust your tone to be more encouraging based on the user's current feedback."

Tips & gotchas

The effectiveness of this skill relies on clear and expressive user input. Ensure the agent has access to sufficient conversational context for accurate sentiment analysis.

Tags

🛡️

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Details

Version
vlatest
License
Author
gtmagents
Installs
10

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Passed automated security scans.