qe-performance-analysis

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