customer-retention-intelligence
CommunityTurn support chats into retention insights.
System Documentation
What problem does it solve?
Analyzes customer support chats, tickets, and messages to compute satisfaction metrics, detect frustration, score response quality, predict churn risk, and suggest the best next action. Use when given support conversations, customer messages, WhatsApp threads, or tickets and asked to evaluate, score, improve, or act on them. Also use for CSAT, NPS, CES analysis, escalation decisions, or agent performance reviews.
Core Features & Use Cases
- Compute CSAT, sentiment, and frustration scores across conversations to quantify customer experience.
- Assess communication quality and agent performance, then generate actionable next steps for resolution.
- Use case examples: evaluate a support thread and receive a structured report with recommended actions to reduce churn and improve satisfaction.
Quick Start
Provide a full scored analysis for the supplied conversation and output a recommended action plan.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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-retention-intelligence Download link: https://github.com/lucifertrj/skills-based-app/archive/main.zip#customer-retention-intelligence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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