Can I integrate performance reports into my CI/CD pipeline?

Absolutely. The skill supports JSON output and specific CLI commands designed to work within workflows like GitHub Actions to track performance over time.

What specific bottlenecks can this skill detect?

It identifies performance issues across four key areas: agent communication delays, task processing utilization, memory access patterns/neural loading times, and network/API latency.

What report formats are supported?

Performance reports can be generated in HTML for browser viewing, Markdown for documentation, and JSON for data analysis and integration.

How does this help with agent coordination?

It analyzes inter-agent communication patterns and recommends structural changes, such as moving from mesh to hierarchical topologies, to reduce coordination overhead.

Does this skill provide automatic performance fixes?

Yes, by using the --fix flag, the skill can automatically apply optimizations such as switching topologies, enabling smart caching, and adjusting agent priorities.

Claude Flow Performance Analysis

Name: Claude Flow Performance Analysis
Author: ellisapotheosis

byellisapotheosis

분석 및 모니터링

Optimizes Claude Flow swarm performance through automated bottleneck detection, real-time profiling, and AI-powered optimization recommendations.

소개

The Performance Analysis skill provides a comprehensive suite for monitoring and tuning autonomous agent swarms within the Claude Flow ecosystem. It empowers developers to identify latent bottlenecks across communication, processing, memory, and network layers while providing actionable insights to reduce task completion times. Whether you are debugging a complex multi-agent workflow or maintaining a production-grade swarm, this skill offers the tools necessary to generate detailed performance reports and apply automated fixes to maximize operational efficiency.

주요 기능

Comprehensive bottleneck detection for communication, processing, and memory
0 GitHub stars
Seamless CI/CD integration for automated performance regression testing
Real-time performance profiling of agent utilization and task execution
Automated optimization fixes for topology, caching, and concurrency
Multi-format report generation including HTML, Markdown, and JSON

사용 사례

Identifying and resolving latency issues in high-complexity agent swarms
Generating executive performance audits for long-running autonomous workflows
Automating swarm topology adjustments to improve inter-agent coordination

소개

주요 기능

Comprehensive bottleneck detection for communication, processing, and memory
0 GitHub stars
Seamless CI/CD integration for automated performance regression testing
Real-time performance profiling of agent utilization and task execution
Automated optimization fixes for topology, caching, and concurrency
Multi-format report generation including HTML, Markdown, and JSON

사용 사례

Identifying and resolving latency issues in high-complexity agent swarms
Generating executive performance audits for long-running autonomous workflows
Automating swarm topology adjustments to improve inter-agent coordination