What report formats are supported for performance analysis?

You can generate reports in JSON for programmatic processing, HTML for visual inspection, or Markdown for project documentation.

What types of bottlenecks can this skill detect?

It analyzes communication delays, processing resource contention, memory access patterns, and network latency across your entire agent swarm.

Can this skill automatically fix performance issues?

Yes, by using the --fix flag with the bottleneck detect command, the skill can apply automatic optimizations such as topology adjustments and caching enhancements.

How does it help with agent utilization?

It tracks the balance of workloads across your agents, identifying if a single agent is overworked while others remain idle, and suggests better topology configurations.

Is this skill compatible with CI/CD pipelines?

Absolutely. It supports JSON exports and threshold-based detection, making it easy to integrate into GitHub Actions or other CI tools to monitor performance regressions.

Swarm Performance Analysis

Name: Swarm Performance Analysis
Author: ricable

byricable

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Analytics & Monitoring

Optimizes Claude Flow agent swarms by identifying performance bottlenecks and providing AI-powered optimization recommendations.

The Swarm Performance Analysis skill provides a comprehensive suite for monitoring and optimizing multi-agent systems within the Claude Flow ecosystem. It enables developers to detect critical bottlenecks across communication, processing, and memory layers while generating detailed reports in multiple formats. With features like real-time profiling and automated optimization recommendations, this skill ensures that complex AI swarms operate at peak efficiency, reducing latency and resource contention during high-scale task execution.

Key Features

011 GitHub stars

02Real-time bottleneck detection across communication and processing layers

03Seamless CI/CD integration for automated performance threshold monitoring

04Automated AI-powered optimization recommendations and 'auto-fix' capabilities

05Multi-format report generation including HTML, JSON, and Markdown

06Deep metrics analysis for agent utilization and task completion times

Use Cases

01Automating resource allocation and caching strategies to reduce API latency

02Identifying and resolving communication lags in complex mesh agent topologies

03Generating detailed performance audits for production-grade AI agent swarms

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