performance-analysis

Diagnose performance bottlenecks in Claude Flow swarms via CLI tooling.

Updated Oct 22, 2025
One-click install
npx skills add https://github.com/justSteve/myOrchestration --skill performance-analysis-juststeve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/justSteve/myOrchestration/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/justSteve/myOrchestration --skill performance-analysis-juststeve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Identifying, diagnosing, and resolving performance bottlenecks in complex AI-driven workflows and multi-agent systems is often a manual, time-consuming, and imprecise process, leading to inefficiencies and increased operational costs.

Core Features & Use Cases

  • Bottleneck Detection: Pinpoints performance issues across communication, processing, memory, and network, identifying critical slowdowns and their root causes.
  • Performance Profiling: Provides real-time monitoring and historical analysis of swarm operations, tracking key metrics like task completion times, agent utilization, and cache hit rates.
  • AI-Powered Optimization Recommendations: Generates actionable, prioritized suggestions for improving performance, including topology optimization, caching enhancements, and concurrency tuning.
  • Use Case: Detect a communication bottleneck in your Hive Mind swarm where coordinator messages are delayed. The skill analyzes the impact, recommends switching to a hierarchical topology for a 40% improvement, and automatically applies the fix, dramatically reducing task completion times.

Quick Start

Detect basic bottlenecks for the current swarm. Generate an HTML performance report including detailed metrics. Analyze and automatically fix detected issues with a threshold of 15%.

Frequently Asked Questions about performance-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect performance bottlenecks in Claude Flow swarms?

Bottleneck detection identifies performance issues across communication, processing, memory, and network layers in your swarm operations. The skill analyzes real-time and historical data to pinpoint slowdowns, their root causes, and their impact on task completion times, enabling you to prioritize fixes.

What metrics does performance profiling track in multi-agent workflows?

Performance profiling monitors task completion times, agent utilization, cache hit rates, and other key metrics across your swarm. It provides both real-time monitoring and historical analysis to reveal patterns and degradation over time.

Can I automatically fix performance issues once they're detected?

Yes. The skill generates AI-powered optimization recommendations with prioritized, actionable fixes—such as topology optimization, caching enhancements, and concurrency tuning—and can automatically apply them with a configurable threshold to improve performance immediately.

How do I generate a performance report for my swarm operations?

You can export detailed performance reports in HTML format that include metrics, bottleneck analysis, and optimization recommendations. The skill supports multiple export formats and parameters like time-range, threshold, and swarm-id to customize the report scope.

What communication issues can performance analysis help resolve?

The skill detects communication bottlenecks such as delayed coordinator messages in multi-agent systems. It analyzes message flow impact, recommends topology changes like hierarchical structures, and can automatically apply fixes to reduce message latency and task completion times.