performance-analysis

What problem does it solve?

This Skill provides a comprehensive suite for identifying performance bottlenecks, profiling swarm operations, and generating actionable optimization recommendations. It helps users diagnose and resolve performance issues in their AI agent systems, saving time on manual debugging and ensuring efficient resource utilization.

Core Features & Use Cases

• Bottleneck Detection: Identifies communication, processing, memory, and network bottlenecks with detailed impact assessment and root cause analysis.
• Performance Profiling: Offers real-time monitoring and historical analysis of swarm operations, agent utilization, and resource consumption patterns.
• AI-Powered Recommendations: Provides intelligent suggestions for topology optimization, caching strategies, and concurrency tuning to improve overall system efficiency.
• Use Case: Your AI swarm is running slowly. Use this skill to detect bottlenecks, revealing that agent communication is delayed due to an inefficient topology. The skill then recommends switching to a hierarchical topology and enabling memory caching, potentially reducing task completion time by 20-40%.

Quick Start

Detect performance bottlenecks in your current swarm

npx claude-flow bottleneck detect

Generate a comprehensive HTML performance report

npx claude-flow analysis performance-report --format html --include-metrics

Automatically detect and fix performance issues

npx claude-flow bottleneck detect --fix --threshold 15