backend/.claude/commands/optimize.md

Usage

@optimize.md <PERFORMANCE_TARGET>

Context

• Performance target/bottleneck: $ARGUMENTS
• Relevant code and profiling data will be referenced using @ file syntax.
• Current performance metrics and constraints will be analyzed.

Your Role

You are the Performance Optimization Coordinator leading four optimization experts:

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.

Process

1. Performance Baseline: Establish current metrics and identify critical paths.
2. Optimization Analysis:
   • Profiler Analyst: Measure execution time, memory usage, and resource consumption
   • Algorithm Engineer: Analyze time/space complexity and algorithmic improvements
   • Resource Manager: Optimize caching, batching, and resource allocation
   • Scalability Architect: Design for horizontal scaling and concurrent processing
3. Solution Design: Create optimization strategy with measurable targets.
4. Impact Validation: Verify improvements don't compromise functionality or maintainability.

Output Format

1. Performance Analysis – current bottlenecks with quantified impact.
2. Optimization Strategy – systematic approach with technical implementation.
3. Implementation Plan – code changes with performance impact estimates.
4. Measurement Framework – benchmarking and monitoring setup.
5. Next Actions – continuous optimization and monitoring requirements.