How does it help with multi-agent coordination?

It analyzes inter-agent communication patterns to detect coordination overhead and suggests the most efficient topology, such as hierarchical or mesh, based on your specific task complexity.

What formats are the performance reports available in?

You can generate detailed performance reports in HTML, Markdown, or JSON formats, making them suitable for both human review and programmatic integration in CI/CD environments.

What does the Performance Analysis skill do?

It identifies performance issues in AI agent swarms, such as communication delays, resource bottlenecks, or inefficient task processing, and provides actionable recommendations to resolve them.

Is it compatible with MCP?

Yes, it features full Model Context Protocol (MCP) integration, allowing developers to trigger bottleneck detection and retrieve task results directly through MCP-enabled tools.

Can it automatically fix performance issues?

Yes, the skill includes a --fix flag that can automatically apply optimizations such as switching topologies, enabling smart caching, or adjusting agent priorities.

Performance Analysis & Optimization

Name: Performance Analysis & Optimization
Author: nbossn

bynbossn

0•

分析と監視

Analyzes Claude Flow swarm operations to detect performance bottlenecks and provide AI-driven optimization recommendations.

This skill provides a comprehensive performance analysis suite designed to profile and optimize AI agent swarms. It monitors communication latency, resource utilization, and task execution patterns across complex agent architectures, offering both detailed diagnostic reports and automated fixes for common inefficiencies like coordination overhead or memory bottlenecks. It is essential for developers looking to scale multi-agent systems while maintaining high throughput and low latency, ensuring that complex workflows remain efficient and cost-effective.

主な機能

01Automated bottleneck detection across communication, processing, and memory

02Real-time profiling of agent utilization and swarm execution patterns

030 GitHub stars

04Deep MCP integration for programmatically retrieving performance metrics

05AI-powered optimization suggestions with automated 'auto-fix' capabilities

06Multi-format report generation in HTML, Markdown, and JSON

ユースケース

01Generating performance benchmarks and compliance reports for CI/CD pipelines

02Identifying and resolving high latency in complex multi-agent communication workflows

03Scaling agent swarms by optimizing topology and resource allocation dynamically

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base performance-analysis

For use in Claude.ai and ChatGPT

主な機能

01Automated bottleneck detection across communication, processing, and memory

02Real-time profiling of agent utilization and swarm execution patterns

030 GitHub stars

04Deep MCP integration for programmatically retrieving performance metrics

05AI-powered optimization suggestions with automated 'auto-fix' capabilities

06Multi-format report generation in HTML, Markdown, and JSON

ユースケース

01Generating performance benchmarks and compliance reports for CI/CD pipelines

02Identifying and resolving high latency in complex multi-agent communication workflows

03Scaling agent swarms by optimizing topology and resource allocation dynamically

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base performance-analysis

For use in Claude.ai and ChatGPT