chatbot-analytics
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
npx skills add majiayu000/claude-skill-registry --skill chatbot-analytics-curiositech-windags-skills --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Chatbot Analytics This skill helps you implement analytics for the AI coaching chat feature while maintaining HIPAA compliance. ## Core Metrics to Track Based on [industry best practices](https://hiverhq.com/blog/chatbot-analytics), track these 13 key metrics: | Metric | Description | HIPAA Safe? | |--------|-------------|-------------| | Total Sessions | Number of chat sessions | Yes | | Avg Messages/Session | Messages per conversation | Yes | | Avg Session Duration | Time spent in chat | Yes | | Engagement Rate | % users who use chat | Yes | | Completion Rate | Sessions ended naturally | Yes | | Abandonment Rate | Sessions ended early | Yes | | Response Time | AI response latency | Yes | | Token Usage | Total/avg tokens consumed | Yes | | Error Rate | Failed responses | Yes | | Fallback Rate | "I don't understand" responses | Yes | | Topic Categories | What users discuss | Metadata only | | Sentiment Trend | Emotional direction | Derived only | | Crisis Triggers | Emergency detection | Metadata only | ## HIPAA-Compliant Analytics ### What to Track ```typescript // Conversation metadata (SAFE) interface ConversationAnalytics { id: string; conversationId: string; userId: strin
- Core Metrics to Track
- HIPAA-Compliant Analytics
- What to Track
- What NOT to Track
- Implementation Pattern
- Tracking Conversation Start
- Tracking Message Exchange
- Tracking Conversation End
- Category Detection (Metadata-Based)
- Dashboard Aggregations
- Session Metrics
- Token Usage for Cost Tracking
- Category Breakdown
- Alert Configuration
What does the chatbot-analytics skill do?
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill chatbot-analytics-curiositech-windags-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.