What types of bottlenecks can this skill detect?

It identifies performance issues across communication delays, task processing utilization, memory access patterns, and external network/API latency.

Can it automatically fix performance issues?

Yes, the skill includes a --fix flag that can automatically adjust swarm topologies, enable smart caching, and tune concurrency settings.

How do I integrate this into my CI/CD pipeline?

You can use the CLI commands to export JSON reports and run bottleneck detection with threshold limits to fail builds if performance regresses.

What formats are the performance reports available in?

You can generate detailed reports in HTML, Markdown, and JSON formats, making them suitable for both human review and automated analysis.

Does this require specific agent topologies?

No, it analyzes various structures including mesh and hierarchical topologies, and can even recommend switching between them for better efficiency.

Performance Analysis

Name: Performance Analysis
Author: ricable

byricable

•

분석 및 모니터링

Analyzes, profiles, and optimizes the performance of Claude Flow swarms to eliminate bottlenecks and improve execution efficiency.

This skill provides a comprehensive suite of tools for monitoring and enhancing the operational efficiency of AI agent swarms within the Claude Flow ecosystem. It identifies critical bottlenecks in communication, processing, and memory management while offering AI-powered optimization recommendations and automated fixes. It is particularly useful for developers scaling agentic workflows who need real-time profiling, detailed performance reports, and actionable insights to reduce latency and resource contention across complex multi-agent systems.

주요 기능

012 GitHub stars

02Multi-format report generation (HTML, JSON, Markdown) for stakeholders and CI/CD

03Automated optimization and 'auto-fix' capabilities for immediate performance gains

04Real-time bottleneck detection across communication, memory, and network layers

05Comparative analysis to track performance trends and detect regressions

06MCP integration for seamless profiling directly within the Claude environment

사용 사례

01Generating automated performance audits for CI/CD pipelines and deployment gates

02Optimizing high-latency multi-agent swarms to reduce task completion time

03Identifying resource contention and memory leaks in complex agentic workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricable/ultimate-ai-agent performance-analysis

For use in Claude.ai and ChatGPT

Download Skill