Does this skill support continuous monitoring?

Yes, it can be configured for real-time monitoring and periodic report generation, making it suitable for long-running swarm operations.

In what formats can I export performance reports?

You can generate reports in HTML, JSON, and Markdown formats, allowing for easy team sharing or integration into automated build logs.

What types of bottlenecks can this skill detect?

The skill identifies bottlenecks in communication (queue delays, coordination), processing (utilization rates), memory (cache hit rates, I/O), and network (API latency and timeouts).

Can I use this skill to automatically fix performance issues?

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

Is it compatible with CI/CD workflows?

Absolutely. The skill supports JSON output and threshold-based detection, making it ideal for GitHub Actions or other CI/CD tools to prevent performance regressions.

Performance Analysis & Optimization

Name: Performance Analysis & Optimization
Author: Activer007

byActiver007

分析与监控

Analyzes Claude Flow swarms to detect performance bottlenecks, profile operations, and provide actionable AI-powered optimization recommendations.

关于

The Performance Analysis skill provides a comprehensive monitoring suite designed to enhance the efficiency of Claude Flow multi-agent swarms. It identifies critical bottlenecks across communication, processing, memory, and network layers while offering real-time profiling and historical analysis. With the ability to generate detailed reports in HTML, JSON, and Markdown formats, this tool is essential for developers looking to minimize latency, optimize agent utilization, and automate performance fixes in complex AI-driven workflows.

主要功能

AI-powered optimization suggestions with automatic 'fix' capabilities
Multi-format report generation including HTML, JSON, and Markdown
Real-time performance profiling and historical swarm operation analysis
0 GitHub stars
Automated bottleneck detection for communication, memory, and network layers
Deep integration with MCP for task result analysis and metrics

使用场景

Optimizing multi-agent communication topologies to reduce task latency
Generating automated performance reports for CI/CD pipeline verification
Troubleshooting resource contention and memory bottlenecks in complex swarms

关于

主要功能

AI-powered optimization suggestions with automatic 'fix' capabilities
Multi-format report generation including HTML, JSON, and Markdown
Real-time performance profiling and historical swarm operation analysis
0 GitHub stars
Automated bottleneck detection for communication, memory, and network layers
Deep integration with MCP for task result analysis and metrics

使用场景

Optimizing multi-agent communication topologies to reduce task latency
Generating automated performance reports for CI/CD pipeline verification
Troubleshooting resource contention and memory bottlenecks in complex swarms