performance-analysis

Detect and remediate performance bottlenecks in Claude Flow swarms.

5|Updated Oct 23, 2025
One-click install
npx skills add https://github.com/wrsmith108/figma-docker-init --skill performance-analysis-wrsmith108
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/wrsmith108/figma-docker-init/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/wrsmith108/figma-docker-init --skill performance-analysis-wrsmith108

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow.

What problem does it solve?

Identifying and resolving performance bottlenecks in complex AI agent swarms can be challenging and time-consuming. This Skill provides a comprehensive suite for performance analysis, automatically detecting communication, processing, memory, and network bottlenecks, and offering AI-powered recommendations for optimization.

Core Features & Use Cases

  • Bottleneck Detection: Automatically identifies critical and warning bottlenecks across communication, processing, memory, and network, with impact assessment.
  • Performance Profiling: Real-time monitoring and historical analysis of swarm operations, including task completion times, agent utilization, and cache hit rates.
  • Optimization Recommendations: Provides AI-powered suggestions for improving performance, including topology optimization, caching enhancements, and concurrency tuning.
  • Use Case: After a major update to your AI development swarm, run a bottleneck detection to identify if new communication delays or memory access issues have emerged. The Skill will then recommend specific fixes, such as switching to a hierarchical topology or enabling memory caching, to restore optimal performance.

Quick Start

Detect performance bottlenecks in your current swarm, then generate an HTML performance report including detailed metrics.

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 automatically identifies critical and warning-level issues across communication, processing, memory, and network layers in your swarm. Run the Skill against real-time or historical swarm operations to get impact assessments and pinpoint where delays or resource constraints are occurring.

What metrics does performance profiling collect from AI swarms?

Performance profiling monitors task completion times, agent utilization rates, and cache hit rates across your swarm operations. It supports both real-time monitoring and historical analysis, letting you track performance trends over specified time ranges.

Can I export swarm performance reports in multiple formats?

Yes, the Skill generates multi-format reports including JSON, HTML, and Markdown. Each format includes detailed metrics and AI-powered optimization recommendations tailored to your swarm's detected bottlenecks.

How does the Skill recommend optimization fixes for swarms?

After detecting bottlenecks, the Skill provides AI-powered suggestions such as topology optimization, caching enhancements, and concurrency tuning. Recommendations are specific to the bottleneck types and severity levels identified in your swarm.

Does performance analysis work with both current and historical swarm data?

Yes, the Skill applies to real-time monitoring and historical swarm operations. You can analyze performance across custom time ranges, making it useful for post-incident review or trend analysis after system updates.