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performance-analysis

Detect and diagnose performance bottlenecks in Claude Flow swarms.

Updated Aug 23, 2026
Search Tags:#performance#monitoring#optimization#profiling#bottleneck#diagnostics#AI systems
One-click install
npx skills add https://github.com/KingOfTheAce2/project-gouda --skill performance-analysis-kingoftheace2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/KingOfTheAce2/project-gouda/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/KingOfTheAce2/project-gouda --skill performance-analysis-kingoftheace2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow.

What problem does it solve?

This Skill provides a comprehensive suite for identifying, analyzing, and resolving performance bottlenecks in Claude Flow swarms. It eliminates guesswork in optimization by offering detailed profiling, actionable recommendations, and automatic fixes, ensuring your AI operations run efficiently.

Core Features & Use Cases

  • Bottleneck Detection: Automatically identify communication, processing, memory, and network bottlenecks with impact assessment.
  • Performance Profiling: Real-time monitoring and historical analysis of swarm operations, agent utilization, and resource contention.
  • Optimization Recommendations: AI-powered suggestions for improving performance, including topology changes, caching, and concurrency tuning.
  • Use Case: Your AI development 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 enables memory caching, automatically applying fixes to boost performance by 40%.

Quick Start

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

Frequently Asked Questions about performance-analysis

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

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

Performance bottlenecks in Claude Flow swarms are identified through automated diagnostics that detect delays in communication, processing, memory, and network layers. The Skill analyzes real-time and historical swarm operation data to pinpoint inefficiencies, assess their impact, and reveal root causes like suboptimal topology or resource contention.

What types of bottlenecks can this profiling tool detect?▼

The profiling tool detects four core bottleneck categories: communication delays between agents, processing delays within agents, memory constraints and contention, and network latency. Each bottleneck includes impact assessment and is tracked across real-time monitoring and historical time ranges.

How do I get optimization recommendations for my swarm?▼

After bottleneck detection, the Skill generates AI-powered optimization suggestions specific to your swarm's configuration. Recommendations cover topology changes, caching strategies, and concurrency tuning, with automatic application of fixes available to improve performance without manual reconfiguration.

Can I use this with threshold-driven bottleneck detection?▼

Yes, the Skill supports threshold-driven detection, allowing you to define custom performance limits and automatically trigger bottleneck analysis when metrics exceed those thresholds. This enables proactive monitoring without constant manual review.

What output formats does the performance analysis generate?▼

The Skill exports detailed performance reports in HTML format, including all metrics, bottleneck diagnostics, resource utilization data, and optimization recommendations. Reports support time-range analysis and can be generated on demand via CLI execution.

Does this tool require Claude Flow as a dependency?▼

Yes, Claude Flow is a required dependency for this Skill. The profiling and optimization analysis applies directly to Claude Flow swarms, so you must have Claude Flow configured before using this performance-analysis tool.

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