performance-analysis

Detect performance bottlenecks in Claude Flow swarm operations.

6|3|Updated Dec 3, 2025
One-click install
npx skills add https://github.com/pacphi/ampel --skill performance-analysis-pacphi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: performance-analysis
Source: https://github.com/pacphi/ampel/tree/main/.claude/skills/performance-analysis
Command: npx skills add https://github.com/pacphi/ampel --skill performance-analysis-pacphi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides end-to-end performance analysis for Claude Flow swarms, bottleneck detection, and optimization recommendations.

Core Features & Use Cases

  • Bottleneck Detection: Identify delays in communication, work, memory, and network
  • Profiling: Real-time and historical performance metrics
  • Reporting: Multi-format reports and AI-driven optimization suggestions
  • MCP Integration: Tie performance results into MCP workflows

Quick Start

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 detect performance bottlenecks in Claude Flow swarms?

Bottleneck detection identifies delays across communication, processing, memory, and network layers in multi-swarm deployments. Run `npx claude-flow bottleneck detect` with optional swarm-id and time-range parameters to pinpoint performance constraints and receive optimization recommendations.

Can I analyze historical performance metrics for Claude Flow operations?

Historical performance analysis retrieves and compares metrics across defined time ranges for swarm operations. Use the analysis command with time-range and compare options to track performance trends, export results in multiple formats, and identify recurring bottlenecks.

What performance data does profiling capture in multi-swarm deployments?

Real-time and historical profiling captures communication delays, work processing times, memory allocation patterns, and network latency across all swarms. Output includes structured metrics suitable for reporting, threshold-based alerting, and integration with MCP workflows.

How do I generate performance reports with optimization suggestions?

Performance reports combine profiling data with AI-driven recommendations using the performance-report command. Specify sections, output format, and export options to produce multi-format reports highlighting identified bottlenecks and suggested fixes.

Does performance analysis work with existing Claude Flow CLI commands?

Performance analysis integrates with Claude Flow operations through dedicated CLI commands—bottleneck detect, analysis, and performance-report—supporting standard options like swarm-id, threshold, format, and export for seamless workflow integration.

What scale of swarm deployments can this performance analysis handle?

Performance analysis applies to multi-swarm deployments across communication, processing, memory, and network layers. Threshold and include-metrics options allow filtering and focusing analysis on deployments of varying complexity and scale.