chatbot-analytics

This skill provides expert data engineering for building and optimizing ETL/ELT pipelines, streaming systems (Spark/Kafka), and data warehouses. Use it for data modeling, workflow orchestration (Airflow/dbt), batch/stream processing, and ensuring data quality. It specifically excludes API design, ML training, and dashboard development, which require other specialized skills.

This skill implements AI chatbot analytics and conversation monitoring for tracking usage metrics, user engagement, and chat performance. It helps developers add conversation dashboards, monitor token usage, and categorize conversations while maintaining HIPAA compliance. Use it when building analytics features for AI chatbots or measuring conversation metrics.

This skill provides expert data engineering for building and managing ETL/ELT pipelines, streaming systems, and data warehouses. It handles tools like Spark, Kafka, Airflow, and dbt for data modeling, processing, and quality. Use it for pipeline architecture and implementation, not for API design, ML training, or dashboard creation.

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.