Comprehensive application performance profiling, bottleneck identification, and optimization strategies for enhanced user experience and system efficiency.
/plugin marketplace add claudeforge/marketplace/plugin install performance-profiler@claudeforge-marketplaceExecute comprehensive performance analysis and optimization for project: $ARGUMENTS
Transform performance optimization from reactive troubleshooting into strategic business value creation that enhances application performance by 50-60%, improves user experience by 70-80%, and creates sustainable performance excellence through systematic profiling methodologies and optimization frameworks.
# ClaudeForge Performance Analysis Engine
application_target=$1
performance_context=$(comprehensive_performance_assessment $application_target)
# Strategic performance measurement
baseline_metrics=(establish_performance_baseline $performance_context)
bottleneck_identification=(identify_performance_bottlenecks $performance_context)
resource_analysis=(analyze_resource_utilization $performance_context)
user_experience_metrics=(measure_ux_performance $performance_context)
loading_performance=(assess_loading_optimization $performance_context)
runtime_performance=(evaluate_execution_efficiency $performance_context)
memory_analysis=(profile_memory_usage $performance_context)
network_optimization=(analyze_network_performance $performance_context)
// ClaudeForge Frontend Performance Suite
const performanceProfiler = {
// Core Web Vitals Analysis
measureCoreWebVitals() {
return {
LargestContentfulPaint: this.measureLCP(),
FirstInputDelay: this.measureFID(),
CumulativeLayoutShift: this.measureCLS(),
TimeToInteractive: this.measureTTI(),
FirstContentfulPaint: this.measureFCP()
};
},
// Resource Loading Analysis
analyzeResourceLoading() {
const resources = performance.getEntriesByType('resource');
return {
totalResources: resources.length,
totalSize: this.calculateTotalSize(resources),
cachedResources: this.countCachedResources(resources),
optimizationOpportunities: this.identifyOptimizationOpportunities(resources)
};
},
// Runtime Performance Profiling
profileRuntimePerformance() {
return {
javascriptExecution: this.measureJSExecution(),
renderingPerformance: this.measureRendering(),
layoutCalculations: this.measureLayoutPerformance(),
paintPerformance: this.measurePaintPerformance()
};
}
};
# ClaudeForge Backend Performance Profiler
class BackendPerformanceAnalyzer:
def __init__(self, application_context):
self.context = application_context
def analyze_api_performance(self):
"""Comprehensive API endpoint performance analysis"""
return {
'response_time_analysis': self.measure_response_times(),
'throughput_analysis': self.measure_throughput(),
'error_rate_analysis': self.measure_error_rates(),
'resource_utilization': self.measure_server_resources(),
'database_performance': self.analyze_database_queries(),
'cache_performance': self.analyze_cache_efficiency()
}
def profile_database_performance(self):
"""Database query performance analysis"""
return {
'slow_queries': self.identify_slow_queries(),
'query_optimization': self.suggest_query_optimizations(),
'index_analysis': self.analyze_index_usage(),
'connection_pooling': self.analyze_connection_efficiency(),
'locking_analysis': self.identify_locking_issues()
}
# ClaudeForge Bottleneck Detection System
detect_bottlenecks() {
local performance_data=$1
# CPU Usage Analysis
cpu_bottlenecks=$(analyze_cpu_bottlenecks $performance_data)
# Memory Usage Analysis
memory_bottlenecks=$(analyze_memory_bottlenecks $performance_data)
# I/O Performance Analysis
io_bottlenecks=$(analyze_io_bottlenecks $performance_data)
# Network Performance Analysis
network_bottlenecks=$(analyze_network_bottlenecks $performance_data)
# Application Code Analysis
code_bottlenecks=$(analyze_code_performance $performance_data)
echo "{
cpu_bottlenecks: $cpu_bottlenecks,
memory_bottlenecks: $memory_bottlenecks,
io_bottlenecks: $io_bottlenecks,
network_bottlenecks: $network_bottlenecks,
code_bottlenecks: $code_bottlenecks
}"
}
// ClaudeForge UX Performance Analyzer
const uxPerformanceAnalyzer = {
analyzeUserExperience() {
return {
// Perceived Performance Analysis
perceivedLoadTime: this.measurePerceivedLoadTime(),
smoothnessMetrics: this.measureAnimationSmoothness(),
responsivenessMetrics: this.measureResponseResponsiveness(),
// Interaction Performance
clickToAction: this.measureClickToActionTime(),
scrollPerformance: this.measureScrollSmoothness(),
inputResponsiveness: this.measureInputLatency(),
// Visual Stability
layoutShifts: this.measureLayoutInstability(),
fontLoading: this.measureFontLoadingPerformance(),
imageLoading: this.measureImageLoadingOptimization()
};
}
};
// ClaudeForge Frontend Optimization Suite
const frontendOptimizer = {
// Bundle Optimization
optimizeBundleSize() {
return {
codeSplitting: this.implementCodeSplitting(),
treeShaking: this.optimizeTreeShaking(),
minification: this.advancedMinification(),
compression: this.implementCompression(),
deduplication: this.removeDuplicateCode()
};
},
// Loading Performance Optimization
optimizeLoadingPerformance() {
return {
lazyLoading: this.implementLazyLoading(),
preloading: this.optimizeResourcePreloading(),
caching: this.implementAdvancedCaching(),
cdnOptimization: this.optimizeCDNUsage(),
resourceHints: this.addResourceHints()
};
},
// Runtime Performance Optimization
optimizeRuntimePerformance() {
return {
virtualScrolling: this.implementVirtualScrolling(),
memoization: this.optimizeMemoization(),
debouncing: this.implementDebouncing(),
webWorkers: this.utilizeWebWorkers(),
requestOptimization: this.optimizeAPIRequests()
};
}
};
# ClaudeForge Backend Optimization Suite
class BackendOptimizer:
def optimize_database_performance(self):
"""Database performance optimization strategies"""
return {
'query_optimization': self.optimize_sql_queries(),
'index_optimization': self.optimize_database_indexes(),
'connection_optimization': self.optimize_connection_pooling(),
'caching_strategies': self.implement_caching_layers(),
'query_caching': self.implement_query_caching()
}
def optimize_api_performance(self):
"""API endpoint performance optimization"""
return {
'response_optimization': self.optimize_response_structure(),
'compression': self.implement_response_compression(),
'batching': self.implement_request_batching(),
'async_processing': self.implement_async_operations(),
'rate_limiting': self.optimize_rate_limiting()
}
š Performance Analysis Summary:
- Overall Performance Score: [score/100]
- Core Web Vitals Performance: [assessment]
- Resource Loading Efficiency: [percentage]
- Runtime Performance: [assessment]
- User Experience Rating: [rating]
Key Performance Metrics:
- Largest Contentful Paint: [time] (Target: <2.5s)
- First Input Delay: [time] (Target: <100ms)
- Cumulative Layout Shift: [score] (Target: <0.1)
- Time to Interactive: [time] (Target: <3.8s)
š Performance Bottlenecks:
- Critical Bottlenecks: [count] identified
- Major Bottlenecks: [count] identified
- Minor Bottlenecks: [count] identified
Bottleneck Categories:
1. CPU Intensive Operations: [list]
2. Memory Leaks: [list]
3. I/O Blocking Operations: [list]
4. Network Latency Issues: [list]
5. Inefficient Code Patterns: [list]
ā” Optimization Roadmap:
Immediate Optimizations (High Impact, Low Effort):
- Bundle size reduction: [potential improvement]
- Image optimization: [potential improvement]
- Caching implementation: [potential improvement]
Medium-term Optimizations (High Impact, Medium Effort):
- Code splitting: [potential improvement]
- Database optimization: [potential improvement]
- CDN implementation: [potential improvement]
Long-term Optimizations (High Impact, High Effort):
- Architecture refactoring: [potential improvement]
- Advanced caching strategies: [potential improvement]
- Performance monitoring setup: [potential improvement]
š ļø Implementation Guide:
Step 1: Critical Issues Resolution
- [ ] Fix memory leaks in [components]
- [ ] Optimize database queries in [endpoints]
- [ ] Implement lazy loading for [resources]
Step 2: Performance Optimizations
- [ ] Bundle size optimization
- [ ] Image compression and optimization
- [ ] Implement advanced caching
Step 3: Monitoring & Maintenance
- [ ] Set up performance monitoring
- [ ] Configure performance budgets
- [ ] Establish performance regression testing
// ClaudeForge Performance Monitoring Setup
const performanceMonitoring = {
setupRealUserMonitoring() {
return {
coreWebVitalsTracking: this.trackCoreWebVitals(),
userInteractionTracking: this.trackUserInteractions(),
errorTracking: this.trackPerformanceErrors(),
resourceTracking: this.trackResourcePerformance()
};
},
setupPerformanceBudgets() {
return {
bundleSizeBudget: '250KB',
imageSizeBudget: '500KB',
loadTimeBudget: '3s',
apiResponseBudget: '500ms'
};
}
};
# ClaudeForge Performance Alerting
performance_alerts:
core_web_vitals:
lcp_threshold: 2.5
fid_threshold: 100
cls_threshold: 0.1
load_performance:
page_load_threshold: 3.0
time_to_interactive_threshold: 3.8
api_performance:
response_time_threshold: 500
error_rate_threshold: 0.01
resource_performance:
bundle_size_threshold: 250000 # bytes
image_size_threshold: 500000 # bytes
Execute comprehensive performance profiling with strategic focus on user experience, technical optimization, continuous monitoring, and measurable business value creation. Transform performance optimization from reactive task into strategic business value creation engine.