How does it integrate with my existing CI/CD workflow?

The skill can be run via npx commands in GitHub Actions or other CI pipelines to export JSON metrics and fail builds if performance thresholds are not met.

What report formats are supported?

The skill can generate detailed performance reports in HTML for visualization, Markdown for documentation, and JSON for integration with other tools.

What types of bottlenecks can this skill detect?

It analyzes four main areas: communication (queue delays), processing (utilization rates), memory (cache hit rates), and network (API latency).

Can the Performance Analysis skill automatically fix issues?

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

Performance Analysis for Claude Flow

Name: Performance Analysis for Claude Flow
Author: while-basic

bywhile-basic

0•

분석 및 모니터링

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

The Performance Analysis skill is a comprehensive suite designed to monitor and optimize multi-agent swarm operations within the Claude Flow ecosystem. It provides deep visibility into communication overhead, processing delays, and resource utilization, enabling developers to identify hidden bottlenecks through real-time profiling. Beyond simple monitoring, the skill offers automated report generation in multiple formats and an intelligent 'auto-fix' feature that applies optimization patterns like topology adjustments and caching enhancements to significantly reduce task execution time.

주요 기능

01Multi-dimensional bottleneck detection across communication, processing, and memory

02Automated report generation in HTML, JSON, and Markdown formats

030 GitHub stars

04Real-time swarm profiling and historical performance monitoring

05AI-powered optimization recommendations with programmatic auto-fix capabilities

06Deep Model Context Protocol (MCP) integration for automated performance audits

사용 사례

01Diagnosing high latency and message delivery delays in complex multi-agent workflows

02Integrating performance threshold checks into CI/CD pipelines to prevent regressions

03Optimizing swarm topologies and caching strategies for resource-intensive AI tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add while-basic/c-flow performance-analysis

For use in Claude.ai and ChatGPT

Download Skill