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Zero-Downtime SQL Database Migration Expert

database-migrations-sql-migrations

sickn33/antigravity-awesome-skills

Specializes in generating production-grade SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Provides comprehensive plans covering data integrity, detailed rollback procedures, performance optimization, and validation checks for critical schema changes.

Database Optimization Tactics

database-optimization

rohitg00/awesome-claude-code-toolkit

Actionable guidance for analyzing plans, indexing, connection pooling, partitioning, and detecting N+1 queries to keep PostgreSQL and MySQL workloads fast and reliable.

Database Performance Optimizer and Analyst

database-optimizer

Jeffallan/claude-skills

A specialized skill for optimizing database performance and scalability across PostgreSQL and MySQL. It guides users through analyzing slow queries, interpreting execution plans (EXPLAIN ANALYZE), designing optimal indexing strategies, tuning configuration parameters, and resolving bottlenecks like lock contention. Essential for DevOps engineers, database administrators, and backend developers.

Database Schema Designer

database-schema-designer

jeremylongshore/claude-code-plugins-plus-skills

Automates database schema design guidance for backend projects, activating whenever you ask about schema patterns, best practices, or implementation in node.js, Python, Go, microservices, caching, or messaging contexts.

Database Test Helper

database-test-helper

jeremylongshore/claude-code-plugins-plus-skills

Automates database-focused test work by offering best-practice guidance, fixtures, and configurations for unit, integration, and mocking scenarios in test automation workflows.

Databricks Error Troubleshooting Guide

databricks-common-errors

jeremylongshore/claude-code-plugins-plus-skills

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.

Databricks ML Workflow: Training and Serving

databricks-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

This guide outlines the complete MLOps workflow on Databricks. It covers feature engineering using Feature Store, tracking experiments with MLflow, managing model versions in the Model Registry, and deploying real-time inference endpoints via Mosaic AI Model Serving. Ideal for building robust, production-grade ML pipelines.

Optimize Databricks Costs and Usage

databricks-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides a comprehensive framework for minimizing cloud expenditure on Databricks. It covers identifying cost drivers via system billing tables, implementing cluster policies, utilizing spot instances for batch processing, right-sizing SQL warehouses, and automating the shutdown of idle development clusters. Use it when managing cloud spending or optimizing data platform usage.

Databricks Debug & Diagnostic Bundle

databricks-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive diagnostic bundle collects critical evidence from the Databricks environment, including environment setup, cluster state, job run history, and Delta table diagnostics. It generates a redacted, safe tar.gz file specifically designed for submitting detailed support tickets and efficiently troubleshooting complex data pipeline issues.

Databricks Deployment Automation Bundles

databricks-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Use Declarative Automation Bundles (DABs) to manage and deploy Databricks assets, including jobs, DLT pipelines, and ML models, using an Infrastructure-as-Code approach. This skill allows defining resources and deployment targets (dev, staging, prod) in a single YAML file, enabling robust CI/CD practices and controlled promotion of changes across environments.

Databricks Incident Response Runbook

databricks-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive runbook designed for on-call engineers to manage Databricks incidents, outages, and major job failures. It provides structured procedures for immediate triage, decision tree guidance (covering cluster failures, code errors, and data quality issues), and steps for evidence collection and postmortem documentation, ensuring rapid and systematic incident resolution.

Local Databricks Development Workflow

databricks-local-dev-loop

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to setting up a fast, isolated local development loop for data engineering projects using Databricks Connect v2, Asset Bundles, and standard IDEs (like VS Code). This workflow allows developers to run PySpark code locally for debugging and unit testing, while managing resource deployment and ensuring consistency across development, staging, and production environments.

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