performance-analysis

Detect and profile performance bottlenecks in Claude Flow swarms.

4|3|Updated Oct 26, 2025
One-click install
npx skills add https://github.com/natea/fitfinder --skill performance-analysis-natea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/natea/fitfinder/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/natea/fitfinder --skill performance-analysis-natea

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and resolves performance bottlenecks in Claude Flow swarms, enabling faster issue resolution and more reliable operations.

Core Features & Use Cases

  • Bottleneck Detection: detect delays across communication, processing, memory, and network within swarms.
  • Performance Profiling: real-time and historical monitoring of swarm task execution and resource usage.
  • Report Generation: produce detailed performance reports in multiple formats for stakeholders.
  • Optimization Recommendations: AI-generated guidance to improve topology, caching, concurrency, and resource efficiency. Use Case: When a deployment experiences rising task latency, the skill guides diagnosis, reporting, and targeted improvements.

Quick Start

Run a basic bottleneck detection on the current Claude Flow swarm to start profiling performance.

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?

To identify performance bottlenecks in Claude Flow swarms, aggregate bottleneck data across communication, processing, memory, and network layers to detect delays and profile task execution for targeted optimization.

What's the best way to profile swarm task execution and resource usage?

The best way to profile swarm task execution is through real-time monitoring and historical trend analysis, tracking resource usage across multiple swarms to pinpoint latency sources and guide improvements.

Can I compare swarm performance over time and export the reports?

Yes, you can compare swarm performance over time and export detailed reports. The skill generates stakeholder-ready performance reports in multiple configurable formats alongside its historical trend analysis.

How do I get optimization recommendations for swarm topology and concurrency?

You get optimization recommendations for swarm topology and concurrency by profiling detected bottlenecks, which generates AI-driven guidance to improve caching, concurrency, and resource efficiency.

Does bottleneck detection support configurable thresholds for latency analysis?

Yes, bottleneck detection supports configurable thresholds for latency analysis. You can apply custom threshold settings to both real-time monitoring and historical trend analysis across multiple swarms.

Why does my swarm deployment experience rising task latency?

Rising task latency in swarm deployments occurs due to bottlenecks in communication, processing, memory, or network layers, requiring detailed profiling and AI-driven optimization suggestions to resolve.