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Database Schema Design And Optimization

database-designer

alirezarezvani/claude-skills

A comprehensive skill for designing, optimizing, and migrating complex database schemas. It provides expert-level analysis covering normalization (1NF to BCNF), advanced indexing strategies, and zero-downtime migration patterns. Use this skill to model data relationships, choose between SQL and NoSQL, or restructure existing databases for maximum performance and scalability.

Database Schema Migration and Transformation

database-migration

sickn33/antigravity-awesome-skills

Master the advanced process of database schema and data migrations across major ORMs (Sequelize, TypeORM, Prisma). This skill provides best practices for handling complex transformations, including implementing zero-downtime deployments, renaming columns, changing data types, and executing complex data restructuring. It emphasizes robust rollback strategies to ensure data integrity during critical database updates.

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 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 Query Profiler

database-query-profiler

jeremylongshore/claude-code-plugins-plus-skills

Offers automated guidance for database query profiler tasks in performance testing, including best practices, code/config generation, and validation when working with load/stress benchmarking.

Databricks Observability and Monitoring Tools

databricks-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive observability for the Databricks platform. It enables users to monitor job run histories, track cluster utilization and associated costs (DBU), detect slow SQL queries, and audit access logs. Use it for setting up robust monitoring dashboards, ensuring pipeline health, and optimizing resource consumption across the entire data stack.

Databricks Python SDK Best Practices

databricks-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to production-ready patterns for the Databricks Python SDK. This skill covers essential best practices including singleton client initialization, structured error handling with typed exceptions, context-managed cluster lifecycle control (ensuring cleanup), and implementing type-safe job definitions. It is essential for building robust, maintainable, and idiomatic integrations with the Databricks platform.

Systematic Debugging Strategies

debugging-strategies

sickn33/antigravity-awesome-skills

This skill provides a structured methodology for tackling complex bugs, performance bottlenecks, and production incidents. It guides users through reproducing issues, forming hypotheses, performing controlled experiments, and narrowing down the scope using proven strategies and tools. Ideal for deep dive troubleshooting and root cause analysis in complex software systems.

AI-Assisted Debugging and Root Cause Analysis

debugging-toolkit-smart-debug

sickn33/antigravity-awesome-skills

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

Deepgram Debugging and Support Bundle

deepgram-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

Collects comprehensive, sanitized debug evidence for Deepgram support and troubleshooting. This bundle gathers detailed system environment information (Node.js, Python), performs live API connectivity tests, analyzes audio file metadata using ffprobe, and logs request/response data. Essential for preparing detailed support tickets and reproducing bugs related to Deepgram integration.

Deepgram Production Deployment Guide

deepgram-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive instructions for deploying Deepgram transcription services into various production environments. This guide covers building production-ready Docker images, configuring Docker Compose, setting up robust Kubernetes manifests (including HPA and secrets), and implementing serverless handlers for platforms like AWS Lambda. Essential for scaling Deepgram services reliably and securely in the cloud.

Deepgram Observability Stack Setup

deepgram-observability

jeremylongshore/claude-code-plugins-plus-skills

Implements a comprehensive observability stack for Deepgram integrations. It utilizes Prometheus metrics for tracking request rates, latency, and costs, OpenTelemetry for distributed tracing, Pino for structured logging, and AlertManager rules for proactive alerting. Essential for production monitoring, dashboard setup, and performance analysis of Deepgram API usage.

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