Performance Analysis
If your Claude Flow swarm is slow or you suspect agents are waiting on each other, this is your diagnostic tool. It profiles everything from message queue delays to memory access patterns, identifies bottlenecks with percentage impact scores, and generates actionable reports in JSON, HTML, or Markdown. The standout feature is automatic fix suggestions that you can apply with a single flag. Use it when tasks are taking longer than they should or when you're tuning a complex multi-agent setup. The CLI output is refreshingly readable, showing you exactly which agent-to-agent communication is dragging things down and what switching topologies might save you. Worth running before you start manually tweaking swarm configurations.
- skills.sh installs
- 1.2K
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill performance-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Performance Analysis Skill
Comprehensive performance analysis suite for identifying bottlenecks, profiling swarm operations, generating detailed reports, and providing actionable optimization recommendations.
Overview
This skill consolidates all performance analysis capabilities:
- Bottleneck Detection: Identify performance bottlenecks across communication, processing, memory, and network
- Performance Profiling: Real-time monitoring and historical analysis of swarm operations
- Report Generation: Create comprehensive performance reports in multiple formats
- Optimization Recommendations: AI-powered suggestions for improving performance
Quick Start
Basic Bottleneck Detection
npx claude-flow bottleneck detect
Generate Performance Report
npx claude-flow analysis performance-report --format html --include-metrics
Analyze and Auto-Fix
npx claude-flow bottleneck detect --fix --threshold 15
Core Capabilities
1. Bottleneck Detection
Command Syntax
npx claude-flow bottleneck detect [options]
Sponsors
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- Repository
- github.com/ruvnet/ruflo
- Category
- Debugging
- First seen
- Jun 3, 2026
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