Supabase Performance Optimizer

Optimize Supabase database performance with intelligent analysis and automated improvements: $ARGUMENTS

Current Performance Context

• Supabase metrics: Database performance data via MCP integration
• Query patterns: !find . -name ".sql" -o -name ".ts" -o -name "*.js" | xargs grep -l "from\|select\|insert\|update" 2>/dev/null | head -5 application queries
• Schema analysis: Current table structures and relationship complexity
• Performance logs: Recent query execution times and resource usage patterns

Task

Execute comprehensive performance optimization with intelligent analysis and automated improvements:

Optimization Focus: Use $ARGUMENTS to focus on query optimization, index management, storage optimization, RLS policies, or database functions Performance Optimization Framework:

• Performance Analysis - Analyze query execution times, identify slow operations, assess resource utilization, evaluate bottlenecks
• Index Optimization - Analyze index usage, recommend new indexes, identify redundant indexes, optimize index strategies
• Query Optimization - Review application queries, suggest query improvements, implement query caching, optimize join operations
• Storage Optimization - Analyze storage patterns, recommend archival strategies, optimize data types, implement compression
• RLS Policy Review - Analyze Row Level Security policies, optimize policy performance, reduce policy complexity, improve security efficiency
• Function Optimization - Review database functions, optimize function performance, implement caching strategies, improve execution plans

Advanced Features: Automated index recommendations, query plan analysis, performance trend monitoring, cost optimization, scaling recommendations. Monitoring Integration: Real-time performance tracking, alert configuration, performance regression detection, optimization impact measurement. Output: Comprehensive optimization plan with performance improvements, index recommendations, query optimizations, and monitoring setup.