Can I use this skill in my CI/CD pipeline?

Yes, it supports JSON output and CLI commands specifically designed for integration into GitHub Actions and other automated build environments.

What kind of performance gains can I expect?

By resolving identified bottlenecks, users typically see total performance improvements ranging from 25% to 45% in their AI workflows.

Does it automatically modify my agent configuration?

When using the --fix flag, the skill applies architectural optimizations like topology adjustments and caching strategies to improve swarm efficiency.

What types of bottlenecks can this skill detect?

It identifies delays in inter-agent communication, task processing inefficiencies, memory access patterns, and network-level API latency.

What formats are available for performance reports?

You can generate detailed reports in HTML for visual review, Markdown for documentation, or JSON for programmatic data analysis.

Performance Analysis for Claude Flow

Name: Performance Analysis for Claude Flow
Author: EarthmanWeb

byEarthmanWeb

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Analytics & Monitoring

Analyzes multi-agent swarm performance to detect bottlenecks and provide automated optimization recommendations.

This skill provides a comprehensive suite for monitoring and optimizing Claude Flow agent swarms by identifying latencies in communication, processing, and resource utilization. It enables developers to generate detailed performance reports in multiple formats, profile real-time operations, and apply AI-powered 'auto-fixes' to improve execution efficiency by up to 45%. Whether you are troubleshooting slow task completion or scaling complex autonomous workflows, this tool provides the deep observability needed to maintain high-performance AI systems.

Key Features

01Comprehensive report generation in HTML, JSON, and Markdown formats

02AI-powered 'auto-fix' capability for topology, caching, and concurrency optimization

03Native MCP integration for interactive performance debugging within Claude Code

042 GitHub stars

05Automated bottleneck detection across communication, processing, memory, and network layers

06Real-time performance profiling and historical analysis of swarm operations

Use Cases

01Generating automated performance audits for CI/CD pipelines to prevent regressions

02Troubleshooting high latency in complex multi-agent coordination workflows

03Optimizing resource allocation and agent topology for large-scale autonomous systems

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add earthmanweb/claude-flow-plugin performance-analysis

For use in Claude.ai and ChatGPT

Download Skill