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performance-analysis

Detect performance bottlenecks in Claude Flow swarm operations across communication, processing, memory, and network layers.

Updated Sep 16, 2025
Search Tags:#performance#optimization#analysis#metrics#profiling#swarm#bottleneck
One-click install
npx skills add https://github.com/ellisapotheosis/Project-Nyra --skill performance-analysis-ellisapotheosis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/ellisapotheosis/Project-Nyra/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/ellisapotheosis/Project-Nyra --skill performance-analysis-ellisapotheosis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claude-flow.

What problem does it solve?

This Skill provides a comprehensive suite for identifying performance bottlenecks, profiling swarm operations, and generating actionable optimization recommendations. It solves the problem of slow or inefficient AI workflows by pinpointing issues in communication, processing, memory, and network, leading to faster task completion and reduced resource usage.

Core Features & Use Cases

  • Bottleneck Detection: Automatically identify critical and warning bottlenecks with impact assessment.
  • Performance Profiling: Real-time monitoring and historical analysis of swarm and agent performance.
  • Report Generation: Create detailed performance reports in HTML, Markdown, or JSON formats.
  • Use Case: After a major code change, run a bottleneck detection to identify if new communication delays or memory access patterns are impacting performance. The skill can then suggest and even automatically apply fixes like enabling memory caching or adjusting swarm topology.

Quick Start

Detect performance bottlenecks in your current swarm: npx claude-flow bottleneck detect

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 swarm operations?▼

Bottleneck detection automatically scans your swarm for critical and warning-level performance issues across communication, processing, memory, and network layers. Run `npx claude-flow bottleneck detect` to pinpoint which operations are slowing down your workflow, then review the impact assessment to prioritize fixes.

Can I monitor swarm performance in real-time and analyze historical data?▼

Yes. Performance profiling provides real-time monitoring of agent and swarm operations alongside historical analysis capabilities. This lets you track performance trends over time and correlate slowdowns with specific code changes or configuration updates.

What formats can I export performance reports in?▼

Performance reports can be generated in HTML, Markdown, and JSON formats. Choose the format that best fits your workflow—HTML for stakeholder reviews, Markdown for documentation, or JSON for programmatic analysis and integration with other tools.

How does performance profiling help after code changes?▼

After deploying new code, run bottleneck detection to reveal if communication delays or memory access patterns have degraded performance. The Skill identifies the root cause and can suggest or automatically apply optimizations like memory caching or swarm topology adjustments.

Can the Skill automatically fix performance issues or just report them?▼

The Skill generates actionable optimization recommendations and supports automated fixes. You can configure thresholds and apply suggested improvements like enabling caching or restructuring your swarm topology without manual intervention.

What dependencies does performance profiling require?▼

Performance analysis depends on claude-flow. Ensure you have claude-flow installed and configured before running bottleneck detection, profiling, or report generation on your swarm operations.

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