Customer Sentiment Agent
CommunityQuantify customer mood with actionable insights.
AuthorHappyCowboyAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill analyzes customer sentiment across Backstory MCP data to produce a quantified sentiment score with a detailed breakdown for timely action.
Core Features & Use Cases
- Sentiment scoring: Generates a 0-10 overall score plus breakdown across 5 components: Communication Sentiment, Engagement Level, Strategic Value Recognition, Technical Satisfaction, and Risk Assessment.
- Parallel intelligence: Orchestrates data from find_account, get_account_status, get_recent_account_activity, account_company_news, and ask_sales_ai_about_account to produce a cohesive report.
- Actionable recommendations: Delivers practical next steps and reminders for strategic follow-ups.
Quick Start
Input an account name to generate a comprehensive sentiment analysis report with scores, evidence, and recommendations.
Dependency Matrix
Required Modules
None requiredComponents
assets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Customer Sentiment Agent Download link: https://github.com/HappyCowboyAI/LLMSkills/archive/main.zip#customer-sentiment-agent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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