Analytics

A comprehensive reference guide for ClickHouse database development. Provides SQL patterns for table design (MergeTree engines), query optimization techniques, data insertion patterns, materialized views, and common analytics queries including time series analysis, funnel analysis, and cohort analysis.

A comprehensive business analytics skill that teaches data storytelling techniques, KPI dashboard design patterns, and business analysis methodologies. It provides frameworks, templates, and example code for creating compelling data narratives and effective dashboards, but contains no executable scripts - all content is educational reference material.

Comprehensive analytics implementation guide that helps set up tracking for GA4, Google Tag Manager, and marketing pixels. Provides event naming conventions, tracking plan templates, and implementation examples for marketing sites, SaaS products, and e-commerce platforms.

Guides users through planning and documenting A/B tests with statistical rigor. Includes hypothesis frameworks, sample size reference tables, test design templates, and analysis checklists to ensure valid experimentation results.

This skill provides comprehensive PostHog analytics integration patterns for web and backend applications. It covers installation for Next.js, React, Python, and Node.js, along with best practices for user identification, event tracking conventions, feature flags, A/B testing, and creating project-specific dashboards for SaaS, e-commerce, and content applications.

Mviz is a data visualization skill that generates clean, professional charts and dashboards from compact JSON specifications or markdown files. It supports 17+ chart types (bar, line, scatter, heatmap, sankey, etc.) and 8 UI components, using a 16-column grid layout system with light/dark theme support.

Prompt Coach analyzes your Claude Code session logs stored locally on your machine to help you become a better AI-native engineer. It provides insights on token usage and costs, prompt quality scoring with real examples, tool usage patterns, productivity time analysis, and actionable recommendations for improvement.