Agent skill · data analytics · aiskillstore
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Why this skill is useful
Provides detailed commands and optimization strategies for performance analysis of Claude Flow swarms that the AI wouldn't reliably generate on its own.
What it needs
Requires claude-flow installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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 Generate Performance Report Analyze and Auto-Fix Core Capabilities 1. Bottleneck Detection Command Syntax 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 Metrics Analyzed Communication Bottlenecks: Message queue delays Agent response times Coordination overhead Memory access patterns Inter-agent communication latency Processing Bottlenecks: Task completion times Agent utilization rates Parallel execution efficiency Resource contention CPU/memory usage patterns Memory Bottlenecks: Cache hit rates Memory access patterns Storage I/O performance Neural pattern loading times Memory allocation efficiency Network Bottlenecks: API call latency MCP communication delays External service timeouts Concurrent request limits Network throughput issues Output Format 2. Performance Profiling Real-time Detection Automatic analysis during task execution: Execution time vs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/performance-analysis--dc1c58