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

1. Bottleneck Detection

7. Performance Profiling

2. Performance Profiling

8. Report Generation

3. 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