How does it help with multi-agent coordination?

It identifies 'coordination bottlenecks' such as unbalanced workloads or inefficient topologies, recommending improvements like switching from mesh to hierarchical structures.

Can this skill automatically fix performance issues?

Yes, the skill includes a --fix flag that can automatically apply optimizations like topology switching, caching enhancements, and concurrency tuning based on detected bottlenecks.

What metrics does the Performance Analysis skill track?

It monitors communication delays, task completion times, resource utilization rates, memory access patterns, and network API latency within Claude Flow swarms.

What report formats are supported?

You can generate detailed performance reports in HTML for browser visualization, Markdown for project documentation, or JSON for programmatic analysis and CI/CD integration.

Performance Analysis for Claude Flow

Name: Performance Analysis for Claude Flow
Author: aegntic

byaegntic

•

분석 및 모니터링

Analyzes and optimizes Claude Flow swarm operations by detecting performance bottlenecks and providing AI-powered recommendations.

This skill provides a comprehensive suite for monitoring and improving the efficiency of multi-agent systems built with Claude Flow. It identifies latency in communication, resource contention, and processing delays across swarms, offering real-time profiling and automated optimization fixes. Whether you are troubleshooting slow task completion or scaling complex agent topologies, this tool generates detailed reports and actionable insights to ensure peak operational performance and resource efficiency.

주요 기능

01AI-powered optimization recommendations with automated 'fix' capabilities

029 GitHub stars

03Real-time bottleneck detection across communication, memory, and network layers

04Seamless integration with CI/CD pipelines for automated performance auditing

05Historical swarm profiling to track performance trends and regressions

06Multi-format performance reporting in HTML, Markdown, and JSON

사용 사례

01Automating resource efficiency tuning during the development and deployment phase

02Optimizing high-latency multi-agent communication in complex swarms

03Generating stakeholder-ready performance reports for AI automation workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add aegntic/cldcde performance-analysis

For use in Claude.ai and ChatGPT

Download Skill