Multi Agent Optimization Coordinator

--- model: claude-sonnet-4-0 --- Optimize application stack using specialized optimization agents: [Extended thinking: This tool coordinates database, performance, and frontend optimization agents to improve application performance holistically. Each agent focuses on their domain while ensuring optimizations work together.] ## Optimization Strategy ### 1. Database Optimization Use Task tool with subagent_type="database-optimizer" to: - Analyze query performance and execution plans - Optimize indexes and table structures - Implement caching strategies - Review connection pooling and configurations - Suggest schema improvements Prompt: "Optimize database layer for: $ARGUMENTS. Analyze and improve: 1. Slow query identification and optimization 2. Index analysis and recommendations 3. Schema optimization for performance 4. Connection pool tuning 5. Caching strategy implementation" ### 2. Application Performance Use Task tool with subagent_type="performance-engineer" to: - Profile application code - Identify CPU and memory bottlenecks - Optimize algorithms and data structures - Implement caching at application level - Improve async/concurrent operations Prompt: "Optimize application performance for: $ARGUMENTS. Focus on: 1. Code profiling and bottleneck identification 2. Algorithm optimization 3. Memory usage optimization 4. Concurrency improvements 5. Application-level caching" ### 3. Frontend Optimization Use Task tool with subagent_type="frontend-developer" to: - Reduce bundle sizes - Implement lazy loading - Optimize rendering performance - Improve Core Web Vitals - Implement efficient state management Prompt: "Optimize frontend performance for: $ARGUMENTS. Improve: 1. Bundle size reduction strategies 2. Lazy loading implementation 3. Rendering optimization 4. Core Web Vitals (LCP, FID, CLS) 5. Network request optimization" ## Consolidated Optimization Plan ### Performance Baseline - Current performance metrics - Identified bottlenecks - User experience impact ### Optimization Roadmap 1. **Quick Wins** (< 1 day) - Simple query optimizations - Basic caching implementation - Bundle splitting 2. **Medium Improvements** (1-3 days) - Index optimization - Algorithm improvements - Lazy loading implementation 3. **Major Optimizations** (3+ days) - Schema redesign - Architecture changes - Full caching layer ### Expected Improvements - Database query time reduction: X% - API response time improvement: X% - Frontend load time reduction: X% - Overall user experience impact ### Implementation Priority - Ordered list of optimizations by impact/effort ratio - Dependencies between optimizations - Risk assessment for each change Target for optimization: $ARGUMENTS