chore: import upstream snapshot with attribution

cli-tool/components/commands/testing/setup-load-testing.md

@@ -0,0 +1,37 @@
+---
+allowed-tools: Read, Write, Edit, Bash
+argument-hint: [testing-type] | --capacity | --stress | --spike | --endurance | --volume
+description: Configure comprehensive load testing with performance metrics and bottleneck identification
+---
+
+# Setup Load Testing
+
+Configure comprehensive load testing with performance analysis and bottleneck identification: **$ARGUMENTS**
+
+## Current Performance Context
+
+- Application type: !`find . -name "server.js" -o -name "app.py" -o -name "main.go" | head -1 && echo "Server application" || echo "Detect app type"`
+- API endpoints: !`grep -r "app\\.get\\|app\\.post\\|@RequestMapping" . 2>/dev/null | wc -l` detected endpoints
+- Database: !`find . -name "*.sql" -o -name "database.js" | head -1 && echo "Database detected" || echo "No database files"`
+- Current monitoring: !`find . -name "prometheus.yml" -o -name "newrelic.js" | head -1 || echo "No monitoring detected"`
+
+## Task
+
+Implement comprehensive load testing with performance optimization and bottleneck analysis:
+
+**Testing Type**: Use $ARGUMENTS to focus on capacity planning, stress testing, spike testing, endurance testing, or volume testing
+
+**Load Testing Framework**:
+
+1. **Strategy & Requirements** - Analyze application architecture, define testing objectives, determine scenarios, identify performance metrics
+2. **Tool Selection & Setup** - Choose appropriate tools (k6, Artillery, JMeter, Gatling), install dependencies, configure environments
+3. **Test Scenario Design** - Create realistic user scenarios, implement API test scripts, configure data generation, design load patterns
+4. **Performance Metrics** - Configure response time monitoring, throughput measurement, error rate tracking, resource utilization monitoring
+5. **Infrastructure Setup** - Configure test environments, setup monitoring dashboards, implement result collection, optimize test execution
+6. **Analysis & Optimization** - Identify performance bottlenecks, analyze resource constraints, recommend optimizations, track improvements
+
+**Advanced Features**: Distributed load generation, real-time monitoring, automated performance regression detection, CI/CD integration, chaos engineering.
+
+**Quality Assurance**: Test reliability, result accuracy, environment consistency, monitoring completeness.
+
+**Output**: Complete load testing setup with configured scenarios, performance monitoring, bottleneck analysis, and optimization recommendations.