Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Tags: performance, bottleneck, optimization, profiling, metrics, analysis, qe, quality-engineering, monitoring
Prerequisites
This skill requires the AQE MCP server. Ensure it is configured in .kiro/settings/mcp.json.
Steps
1. 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: Cre
2. Basic Bottleneck Detection
Basic Bottleneck Detection
3. Generate Performance Report
Generate Performance Report
4. Analyze And Auto Fix
Analyze and Auto-Fix
5. Core Capabilities
Core Capabilities
6. Bottleneck Detection
- Bottleneck Detection
7. Performance Profiling
- Performance Profiling
8. Report Generation
- Report Generation
MCP Tools
Use AQE tools via the @agentic-qe MCP server:
@agentic-qe/fleet_init— Initialize the QE fleet@agentic-qe/test_generate_enhanced— Generate tests@agentic-qe/coverage_analyze_sublinear— Analyze coverage@agentic-qe/quality_assess— Assess quality gates@agentic-qe/memory_store— Store learned patterns@agentic-qe/memory_query— Query past patterns