What specific metrics does the skill analyze?

It monitors a wide range of metrics including communication latency, agent response times, task completion rates, resource utilization (CPU/Memory), and API call throughput.

Can this skill automatically fix performance issues?

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

Is it suitable for CI/CD integration?

Absolutely. It is designed for automation with CLI commands that output JSON, making it easy to track performance regressions or improvements within automated build pipelines.

Which report formats are supported?

The skill can generate performance reports in HTML for visual review, Markdown for documentation, and JSON for integration with other software tools.

What does the Performance Analysis skill do?

It identifies performance bottlenecks in Claude Flow swarms, profiles agent operations, and provides actionable recommendations to improve execution speed and resource efficiency.

Performance Analysis for Claude Flow

Name: Performance Analysis for Claude Flow
Author: ricable

byricable

•

分析と監視

Analyzes and optimizes Claude Flow swarm performance by detecting bottlenecks and providing AI-powered recommendations.

This skill provides a comprehensive suite for monitoring and enhancing the efficiency of Claude Flow agent swarms. It enables developers to perform real-time bottleneck detection across communication, processing, memory, and network layers while generating detailed performance reports in multiple formats. By offering actionable, AI-driven optimization suggestions and automatic fixes for common issues like coordination overhead or inefficient topologies, it ensures that multi-agent systems operate at peak performance with reduced latency and improved resource utilization.

主な機能

015 GitHub stars

02Real-time bottleneck detection across communication and resource layers

03AI-powered optimization recommendations for swarm topology and concurrency

04Automated fix mode to apply performance improvements instantly

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

06Comprehensive performance profiling for task execution and agent utilization

ユースケース

01Generating historical performance reports for CI/CD pipelines to track efficiency trends

02Identifying communication delays and latency issues in complex multi-agent swarms

03Optimizing resource-heavy agent tasks through automated topology adjustments

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