Performance Analysis for Claude Flow

About

The Performance Analysis skill is a comprehensive suite designed to profile and optimize the operations of Claude Flow multi-agent swarms. It monitors real-time interactions to detect latency in communication, processing inefficiencies, and resource contention across memory and network layers. By providing detailed, multi-format reporting and an automated 'fix' capability, this skill enables developers to transform complex agent swarms into streamlined, high-performance systems with minimal manual effort.

Key Features

• Automated bottleneck detection across communication, memory, and network layers
• Seamless CI/CD integration for automated performance benchmarking in pipelines
• AI-powered optimization suggestions with one-click automated fix options
• Multi-format report generation including HTML, Markdown, and JSON
• Real-time swarm profiling and historical trend analysis
• 81 GitHub stars

Use Cases

• Identifying resource contention and memory leaks during long-running swarm tasks
• Generating automated performance audits and regression reports for deployment
• Optimizing inter-agent communication latency in complex multi-agent systems