Skill UI

This guide provides comprehensive, code-based solutions for diagnosing and fixing common errors encountered in Databricks environments. It covers critical issues such as cluster state failures, Spark OutOfMemory errors, Delta Lake concurrency conflicts, permission problems, and schema mismatches, offering tailored fixes in Python, SQL, and Bash.

A comprehensive guide to setting up a minimal working example on Databricks. This skill covers creating a development cluster, uploading and executing notebooks (Python SDK), running tasks as jobs, and setting up a Serverless SQL Warehouse. It is ideal for new users or initializing a basic data engineering project.

This skill provides a comprehensive guide to configuring event-driven workflows and robust notification systems for Databricks jobs. It covers setting up various notification destinations (Slack, Teams, Email, PagerDuty) and triggering alerts based on job lifecycle events (success, failure, start). Furthermore, it demonstrates advanced monitoring using system audit tables and creating automated SQL alerts for critical data pipeline monitoring.

Automates guidance for date range analytics, covering SQL, visualization, statistics, and BI, with code generation and validation to support data analytics workflows.

Automated assistant for forecast generator tasks in data analytics, guiding through SQL, visualization, statistics, and BI workflows with best practices, ready-to-run code, and validation.

Automates funnel analysis builder workflows by offering guidance on SQL, visualization, statistics, and BI best practices for data analytics teams needing production-ready insights.

Automates Google BigQuery workflows via Rube MCP and Metabase, letting you run native SQL/MBQL queries, fetch metadata, and explore schemas before querying.

Automates KPI definition tasks for data analytics teams, offering best-practice guidance, code templates, and validation to streamline SQL, visualization, and BI workflows.

Automated assistant for metric calculator work in data analytics, offering guidance, best practices, SQL/query support, visualization tips, and BI-ready validation whenever the user requests metric calculator help.

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This skill provides comprehensive, structured audit logging for OpenRouter API interactions. It automatically captures essential metadata like total cost, token usage, model details, latency, and status, while also performing PII redaction. The resulting audit trail is stored in an append-only SQLite database, making it ideal for building compliance-ready systems, detailed cost monitoring, and deep debugging of production environments.

Automates pivot table creation in data analytics workflows, guiding SQL queries, visualization choices, statistical checks, and BI configurations whenever the user invokes pivot table creator support.