@optimize.md - Performance Optimization Coordinator

Systematic performance optimization command that identifies bottlenecks through measurement and implements data-driven improvements with quantified results.

Usage

@optimize.md <PERFORMANCE_TARGET>

What It Does

Coordinates performance optimization through four specialists:

1. Profiler Analyst – identifies bottlenecks through systematic measurement
2. Algorithm Engineer – optimizes computational complexity and data structures
3. Resource Manager – optimizes memory, I/O, and system resource usage
4. Scalability Architect – ensures solutions work under increased load

When to Use

Performance Critical Issues

• Slow page load times affecting user experience
• API response times exceeding SLA requirements
• Database queries taking too long to execute
• Memory usage causing out-of-memory errors
• CPU bottlenecks under normal or peak load

Scalability Concerns

• Application slowdown under increased traffic
• Resource exhaustion during peak usage
• Concurrent user limits being reached
• Database performance degrading with data growth
• Cache efficiency problems with hit rates

Key Benefits

📊 Data-Driven Optimization

• Establishes performance baselines and metrics
• Measures actual impact of optimization efforts
• Identifies real bottlenecks vs perceived issues
• Provides quantified improvement results

🎯 Systematic Approach

• Profiling: Execution time, memory usage, resource consumption
• Algorithm: Time/space complexity improvements
• Resource: Caching, batching, resource allocation
• Scalability: Horizontal scaling and concurrent processing

Example Scenarios

Slow Database Dashboard

@optimize.md "Dashboard loading takes 8-12 seconds with 50K+ records. 
Need to get under 2 seconds. Complex joins across 5 tables with 
filtering and aggregation. Current queries in @report-queries.sql"

API Response Time Issues

@optimize.md "User profile API endpoint averaging 3-5 second response 
times under normal load. Need sub-500ms responses. Includes user data, 
preferences, activity history, and related content aggregation."

Related Commands

• Use @review.md to identify optimization opportunities
• Use @debug.md for performance-related bugs
• Use @code.md to implement optimized solutions