What types of bottlenecks can this skill detect?

It identifies performance delays across four main categories: communication (message queues), processing (utilization rates), memory (cache hits), and network (API latency).

What report formats are supported for performance analysis?

The skill can generate detailed performance reports in JSON, HTML, and Markdown formats to suit different documentation and integration needs.

How does it help with multi-agent coordination?

It profiles interaction patterns between agents to identify coordination overhead and suggests more efficient topologies, such as switching from mesh to hierarchical structures.

Can this skill automatically fix performance issues?

Yes, using the --fix flag allows the skill to apply automatic optimizations such as topology adjustments, caching enhancements, and concurrency tuning.

Is it possible to integrate this skill into CI/CD workflows?

Absolutely. The skill supports JSON output and threshold-based exports, making it easy to fail builds or generate artifacts in environments like GitHub Actions.

Claude Flow Performance Analysis

Name: Claude Flow Performance Analysis
Author: Microck

byMicrock

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분석 및 모니터링

Optimizes Claude Flow swarm operations by detecting bottlenecks, profiling resource usage, and generating actionable performance reports.

소개

This skill provides a comprehensive suite for monitoring and optimizing multi-agent Claude Flow swarms, helping developers identify and resolve efficiency gaps in complex AI workflows. It analyzes critical bottlenecks across communication, memory, and processing layers, offering AI-powered recommendations or automatic fixes to improve execution speed and resource management. Whether you are scaling an agentic system or debugging latency issues, this skill provides the metrics and reporting necessary to maintain high-performance AI operations.

주요 기능

Multi-format report generation including HTML, JSON, and Markdown
Automated bottleneck detection for communication, processing, and memory
AI-powered optimization suggestions and automated one-click fixes
81 GitHub stars
Real-time performance profiling and historical swarm operation analysis
Seamless integration with CI/CD pipelines for performance regression testing

사용 사례

Reducing API latency and operational costs through efficient resource and cache management
Scaling complex multi-agent swarms by resolving coordination and communication delays
Generating performance benchmarks for CI/CD audit trails and executive reporting

소개

주요 기능

Multi-format report generation including HTML, JSON, and Markdown
Automated bottleneck detection for communication, processing, and memory
AI-powered optimization suggestions and automated one-click fixes
81 GitHub stars
Real-time performance profiling and historical swarm operation analysis
Seamless integration with CI/CD pipelines for performance regression testing

사용 사례

Reducing API latency and operational costs through efficient resource and cache management
Scaling complex multi-agent swarms by resolving coordination and communication delays
Generating performance benchmarks for CI/CD audit trails and executive reporting