performance-analysis

Solid

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

AI & Automation 57,130 stars 6508 forks Updated today MIT

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Skill Content

# 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 ```bash npx claude-flow bottleneck detect ``` ### Generate Performance Report ```bash npx claude-flow analysis performance-report --format html --include-metrics ``` ### Analyze and Auto-Fix ```bash npx claude-flow bottleneck detect --fix --threshold 15 ``` ## Core Capabilities ### 1. Bottleneck Detection #### Command Syntax ```bash npx claude-flow bottleneck detect [options] ``` #### Options - `--swarm-id, -s <id>` - Analyze specific swarm (default: current) - `--time-range, -t <range>` - Analysis period: 1h, 24h, 7d, all (default: 1h) - `--threshold <percent>` - Bottleneck threshold percentage (default: 20) - `--export, -e <file>` - Export analysis to file - `--fix` - Apply automatic optimizations #### Usage Examples ```bash # Basic detection for current swarm npx...

Details

Author
ruvnet
Repository
ruvnet/ruflo
Created
12 months ago
Last Updated
today
Language
TypeScript
License
MIT

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