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performance-analysis

Detect and profile performance bottlenecks in Claude Flow swarms.

Updated Jul 2, 2025
Search Tags:#reports#optimization#CLI#profiling#swarm#bottlenecks#analyze
One-click install
npx skills add https://github.com/dug-21/neural-data-platform --skill performance-analysis-dug-21
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/dug-21/neural-data-platform/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/dug-21/neural-data-platform --skill performance-analysis-dug-21

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams quickly identify performance bottlenecks in Claude Flow swarms and provides actionable optimization recommendations, reducing latency and improving throughput.

Core Features & Use Cases

  • Bottleneck Detection: Analyze communication, processing, memory, and network bottlenecks across swarm agents.
  • Performance Profiling: Real-time and historical monitoring of swarm tasks and resource usage.
  • Report Generation: Produce comprehensive performance reports in JSON, HTML, or Markdown formats.
  • Optimization Guidance: AI-assisted recommendations and optional automated fixes to improve performance.
  • Use Case: For a multi-agent swarm processing sensor data, detect slow coordination and reconfigure topology to boost throughput.

Quick Start

  • npx claude-flow bottleneck detect
  • npx claude-flow analysis performance-report --format html --include-metrics
  • npx claude-flow bottleneck detect --fix --threshold 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 a Claude Flow swarm?▼

To detect performance bottlenecks in a Claude Flow swarm, run the `npx claude-flow bottleneck detect` command to analyze communication, processing, memory, and network layers and identify latency issues across agents.

What is performance profiling for multi-agent orchestration tasks?▼

Performance profiling for multi-agent orchestration is the real-time and historical monitoring of swarm tasks and resource usage to identify slow coordination, enabling topology reconfiguration to boost throughput and reduce latency.

Can I generate performance reports in HTML or Markdown formats?▼

Yes, you can generate performance reports in HTML, Markdown, or JSON formats by running `npx claude-flow analysis performance-report --format html --include-metrics`, which produces structured bottleneck findings and resource metrics.

Do I need the claude-flow CLI installed to analyze swarm bottlenecks?▼

Yes, you need the claude-flow CLI to analyze swarm bottlenecks, as the Skill requires executing `npx claude-flow` commands to perform bottleneck detection, profiling, and report generation.

Can I automatically fix detected bottlenecks in Claude Flow swarms?▼

Yes, you can automatically apply fixes for detected bottlenecks in Claude Flow swarms by running `npx claude-flow bottleneck detect --fix --threshold 15`, which triggers AI-assisted optimization suggestions and automated fixes.

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