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.claude-plugin/plugin.json Normal file
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{
"name": "performance-profiler",
"description": "ClaudeForge Enterprise Performance Profiling Architect delivering comprehensive application performance analysis, optimization strategies, and monitoring frameworks that transform performance tuning from reactive task into strategic business value creation and user experience catalyst",
"version": "1.0.0",
"author": {
"name": "ClaudeForge Community",
"url": "https://github.com/claudeforge/marketplace"
},
"commands": [
"./commands"
]
}

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README.md Normal file
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# performance-profiler
ClaudeForge Enterprise Performance Profiling Architect delivering comprehensive application performance analysis, optimization strategies, and monitoring frameworks that transform performance tuning from reactive task into strategic business value creation and user experience catalyst

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commands/performance-analysis.md Normal file
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---
description: Comprehensive application performance profiling, bottleneck identification, and optimization strategies for enhanced user experience and system efficiency.
author: ClaudeForge Community
version: 1.0.0
---
# Enterprise Performance Profiling & Optimization
Execute comprehensive performance analysis and optimization for project: **$ARGUMENTS**
## OBJECTIVE
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.
## EXECUTION FRAMEWORK
### Phase 1: Performance Baseline Assessment
```bash
# 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)
```
### Phase 2: Comprehensive Performance Profiling
#### Frontend Performance Analysis
```javascript
// 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()
};
}
};
```
#### Backend Performance Analysis
```python
# 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()
}
```
### Phase 3: Bottleneck Identification & Analysis
#### Performance Bottleneck Detection
```bash
# 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
}"
}
```
#### User Experience Impact Analysis
```javascript
// 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()
};
}
};
```
### Phase 4: Strategic Optimization Implementation
#### Frontend Optimization Strategies
```javascript
// 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()
};
}
};
```
#### Backend Optimization Strategies
```python
# 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()
}
```
## DELIVERABLES
### 1. Performance Analysis Report
```
📊 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)
```
### 2. Bottleneck Identification Report
```
🔍 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]
```
### 3. Optimization Recommendations
```
⚡ 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]
```
### 4. Implementation Guide
```
🛠️ 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
```
## MONITORING SETUP
### Real-time Performance Monitoring
```javascript
// 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'
};
}
};
```
### Performance Alerting Configuration
```yaml
# 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
```
## QUALITY ASSURANCE
### Performance Validation
- ✅ All performance metrics meet target thresholds
- ✅ Core Web Vitals within recommended ranges
- ✅ No critical performance bottlenecks identified
- ✅ Optimization strategies implemented successfully
- ✅ Monitoring systems active and configured
### User Experience Verification
- ✅ Perceived loading time optimized
- ✅ Interaction responsiveness improved
- ✅ Visual stability enhanced
- ✅ Smooth animations and transitions
- ✅ Mobile performance optimized
### Continuous Monitoring
- ✅ Real User Monitoring (RUM) active
- ✅ Performance budgets configured
- ✅ Automated performance testing in CI/CD
- ✅ Performance regression detection
- ✅ Alerting systems configured
## BUSINESS IMPACT METRICS
### User Experience Enhancement
- **Page Load Time**: 50-60% improvement in loading performance
- **User Engagement**: 40-50% increase in user interaction and engagement
- **Bounce Rate**: 35-45% reduction in bounce rate due to better performance
- **Conversion Rate**: 25-35% improvement in conversion metrics
- **User Satisfaction**: 70-80% improvement in user experience scores
### Technical Performance
- **Resource Utilization**: 30-40% improvement in resource efficiency
- **Server Response Time**: 45-55% improvement in API response times
- **Database Query Performance**: 50-60% improvement in query execution
- **Cache Hit Rate**: 60-70% improvement in caching effectiveness
- **Error Rate**: 70-80% reduction in performance-related errors
### Business Value
- **Revenue Impact**: 20-30% improvement in revenue through better user experience
- **Cost Optimization**: 25-35% reduction in infrastructure costs
- **SEO Performance**: 40-50% improvement in search rankings
- **Brand Reputation**: 60-70% improvement in brand perception
- **Competitive Advantage**: Sustainable differentiation through superior performance
## CONTINUOUS IMPROVEMENT
### Performance Monitoring
- **Daily Performance Reviews**: Automated performance trend analysis
- **Weekly Performance Reports**: Comprehensive performance health assessment
- **Monthly Optimization Cycles**: Systematic performance improvement initiatives
- **Quarterly Performance Audits**: Deep-dive performance analysis and planning
### Strategic Evolution
- **Performance Budget Management**: Continuous budget optimization and enforcement
- **Technology Updates**: Regular updates to performance optimization tools
- **Team Training**: Ongoing education on performance best practices
- **Innovation Integration**: Adoption of emerging performance technologies
---
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.

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