Skill UI

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Guides ClickHouse database architects through schema designs, query optimization, ingestion strategies, and monitoring techniques tailored for high-performance analytical workloads.

Tracks and analyzes Cursor usage metrics for Business or Enterprise teams, covering dashboards, custom reports, and API access to surface trends, anomalies, and productivity insights so you can optimize ROI and team performance.

Automates Google Search Console workflows via Rube MCP so you can list verified sites, query search analytics, inspect URLs, and manage sitemaps while keeping an eye on performance metrics in one integrated toolkit.

Automates Google Ads analytics via Rube MCP to list linked accounts, validate GA4 dimensions and metrics, and run tailored performance reports for campaigns while always fetching the latest tool schemas first.

Guide for optimizing Retell AI voice agents by tuning LLM prompts, agent settings, WebSocket pooling, and caching/analytics so API integrations stay responsive under load.

A comprehensive guide for implementing client-side and server-side tracking using a Customer Data Platform (CDP). It covers integrating Analytics.js for browser events (track, identify, page, group), utilizing high-performance Node.js for backend event logging and webhooks, and designing robust event schemas and tracking plans. Essential for accurate user behavior analysis and data synchronization.

This comprehensive tool uses Apify Actors to track and analyze content performance metrics across major social platforms like Instagram, Facebook, YouTube, and TikTok. It helps users measure engagement, calculate campaign ROI, and identify which content types or hashtags are performing best, providing structured data exports (CSV/JSON) and key insights for content optimization.

Assistant for PostgreSQL developers that highlights native features, advanced data types, performance tuning patterns, and extension usage to optimize queries, indexes, and analytics in PostgreSQL projects.

Guides a Power BI DAX expert through performance, readability, best-practice, and maintainability reviews; recommends variable reuse, context tuning, and error handling; then outputs an optimized formula plus justification for analytics models.