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1d03832f2d
- Restructured core framework components - Added new Agents, MCP servers, and Modes documentation - Introduced SuperClaude-Lite minimal implementation - Enhanced Commands with session management capabilities - Added comprehensive Hooks system with Python integration - Removed legacy setup and profile components - Updated .gitignore to exclude Tests/, ClaudeDocs/, and .serena/ - Consolidated configuration into SuperClaude/Config/ - Added Templates for consistent component creation This is the initial commit for the V4 Beta branch containing all recent framework improvements and architectural changes. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
401 lines
16 KiB
Markdown
401 lines
16 KiB
Markdown
# [Monitoring Mode Name] Mode
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```yaml
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---
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name: [mode-name]
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description: "[Clear purpose and behavioral modification description]"
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type: monitoring
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# Mode Classification
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category: tracking
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complexity: system
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scope: framework
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# Activation Configuration
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activation:
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automatic: [true|false]
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manual-flags: [list of flags]
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confidence-threshold: [0.0-1.0]
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detection-patterns: [monitoring trigger patterns]
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# Integration Configuration
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framework-integration:
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mcp-servers: [list of coordinated servers]
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commands: [list of monitored commands]
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modes: [list of coordinated modes]
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quality-gates: [monitoring integration points]
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# Performance Profile
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performance-profile: real-time
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performance-targets: [specific monitoring requirements]
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---
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```
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**[Optional Subtitle]** - [Brief description of real-time monitoring and metrics collection capabilities]
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## Purpose & Monitoring Scope
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[Clear description of what aspects of the system this mode monitors and tracks. Explain the real-time monitoring capabilities and why continuous metrics collection is critical for this domain.]
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### Monitoring Domains
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- **[Domain 1]**: [What aspects are monitored and why]
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- **[Domain 2]**: [Specific metrics and tracking requirements]
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- **[Domain 3]**: [Performance characteristics monitored]
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### Tracking Objectives
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- **[Objective 1]**: [Specific measurement goals and targets]
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- **[Objective 2]**: [Quality metrics and thresholds]
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- **[Objective 3]**: [Performance optimization goals]
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## Core Capabilities
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### 1. Real-Time Metrics Collection
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- **[Metric Category]**: [Description of metrics tracked and collection method]
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- **[Metric Category]**: [Real-time measurement approach and frequency]
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- **[Metric Category]**: [Data aggregation and storage strategy]
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- **[Metric Category]**: [Historical trend analysis capabilities]
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### 2. Performance Monitoring
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- **[Performance Aspect]**: [Specific performance metrics and targets]
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- **[Performance Aspect]**: [Threshold monitoring and alert systems]
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- **[Performance Aspect]**: [Optimization detection and recommendations]
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- **[Performance Aspect]**: [Resource utilization tracking]
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### 3. Analytics & Pattern Recognition
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- **[Analysis Type]**: [Pattern detection algorithms and insights]
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- **[Analysis Type]**: [Trend analysis and predictive capabilities]
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- **[Analysis Type]**: [Anomaly detection and alert mechanisms]
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- **[Analysis Type]**: [Correlation analysis across metrics]
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### 4. Dashboard & Reporting
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- **[Dashboard Type]**: [Real-time dashboard format and information]
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- **[Report Format]**: [Structured reporting capabilities and frequency]
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- **[Alert System]**: [Notification mechanisms and escalation paths]
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- **[Export Capabilities]**: [Data export formats and integration options]
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## Activation Patterns
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### Automatic Activation
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1. **[Monitoring Trigger]**: [Specific conditions that automatically enable monitoring]
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2. **[Performance Threshold]**: [Performance degradation or optimization opportunities]
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3. **[System Event]**: [System lifecycle events requiring monitoring]
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4. **[Risk Indicator]**: [High-risk operations needing continuous tracking]
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5. **[Quality Gate]**: [Integration with SuperClaude quality validation steps]
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### Manual Activation
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- **Primary Flag**: `--[shorthand]` or `--[fullname]`
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- **Monitoring Scope**: `--monitor-[scope]` for targeted monitoring
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- **Alert Level**: `--alert-level [level]` for threshold configuration
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- **Context**: [When users would manually activate comprehensive monitoring]
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### Smart Detection Patterns
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- **[Pattern Type]**: [Detection algorithms and confidence thresholds]
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- **[Context Indicator]**: [Situational awareness patterns]
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- **[Risk Assessment]**: [Risk-based activation strategies]
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## Performance Targets
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### Response Time Requirements
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- **Metrics Collection**: [Target collection frequency and latency]
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- **Dashboard Updates**: [Real-time update requirements]
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- **Alert Generation**: [Alert response time targets]
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- **Report Generation**: [Report compilation time limits]
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### Accuracy Standards
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- **Measurement Precision**: [Required accuracy levels for different metrics]
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- **Data Integrity**: [Data validation and consistency requirements]
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- **Historical Accuracy**: [Long-term data preservation standards]
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### Resource Efficiency
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- **CPU Overhead**: [Maximum CPU usage for monitoring operations]
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- **Memory Usage**: [Memory footprint limits and optimization]
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- **Storage Requirements**: [Data retention and compression strategies]
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- **Network Impact**: [Network utilization limits for distributed monitoring]
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## Monitoring Framework
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### Metrics Collection Engine
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- **[Collection Method]**: [Real-time data collection approach and tools]
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- **[Aggregation Strategy]**: [Data aggregation algorithms and time windows]
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- **[Storage Architecture]**: [Metrics storage and retrieval system]
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- **[Retention Policy]**: [Data lifecycle and archival strategies]
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### Real-Time Monitoring Systems
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- **[Monitoring Component]**: [Continuous monitoring implementation]
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- **[Alert Engine]**: [Real-time alert generation and routing]
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- **[Threshold Management]**: [Dynamic threshold adjustment capabilities]
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- **[Escalation System]**: [Alert escalation and notification workflows]
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### Analytics Infrastructure
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- **[Analysis Engine]**: [Real-time analytics processing capabilities]
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- **[Pattern Detection]**: [Automated pattern recognition systems]
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- **[Predictive Analytics]**: [Forecasting and trend prediction capabilities]
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- **[Correlation Analysis]**: [Cross-metric correlation and causation analysis]
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## Integration Patterns
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### Session Lifecycle Integration
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- **Session Start**: [Monitoring initialization and baseline establishment]
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- **Active Monitoring**: [Continuous tracking during work sessions]
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- **Checkpoint Integration**: [Metrics capture during checkpoints]
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- **Session End**: [Final metrics collection and summary generation]
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### Quality Gates Integration
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- **[Quality Gate Step]**: [Specific monitoring integration point]
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- **[Validation Phase]**: [Performance validation during quality checks]
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- **[Compliance Monitoring]**: [Framework compliance tracking]
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### Command Coordination
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- **[Command Category]**: [Monitoring integration with specific command types]
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- **[Operation Type]**: [Performance tracking for different operation categories]
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- **[Workflow Integration]**: [Monitoring embedded in standard workflows]
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### MCP Server Coordination
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- **[Server Name]**: [Monitoring integration with specific MCP servers]
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- **[Cross-Server Analytics]**: [Coordination monitoring across multiple servers]
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- **[Performance Correlation]**: [Server performance impact analysis]
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### Mode Interactions
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- **[Coordinated Mode]**: [How monitoring integrates with other active modes]
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- **[Mode Switching]**: [Monitoring behavior during mode transitions]
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- **[Multi-Mode Analytics]**: [Analysis across multiple active modes]
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## Analytics & Reporting
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### Dashboard Formats
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- **[Dashboard Type]**: [Real-time dashboard structure and components]
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- **[Visualization Format]**: [Chart types and data presentation methods]
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- **[Interactive Features]**: [User interaction capabilities and drill-down options]
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### Report Structures
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- **[Report Category]**: [Structured report format and content organization]
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- **[Summary Format]**: [Executive summary and key metrics presentation]
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- **[Detailed Analysis]**: [In-depth analysis report structure]
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### Trend Analysis
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- **[Trend Type]**: [Historical trend analysis capabilities]
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- **[Predictive Modeling]**: [Forecasting algorithms and accuracy metrics]
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- **[Comparative Analysis]**: [Baseline comparison and performance evolution]
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### Alert Systems
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- **[Alert Level]**: [Alert severity classification and response requirements]
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- **[Notification Methods]**: [Alert delivery mechanisms and routing]
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- **[Escalation Procedures]**: [Alert escalation workflows and timeouts]
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## Advanced Features
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### [Feature Category 1]
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- **[Advanced Feature]**: [Description of sophisticated monitoring capability]
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- **[Integration Method]**: [How advanced features integrate with core monitoring]
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- **[Performance Impact]**: [Resource requirements and optimization strategies]
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### [Feature Category 2]
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- **[Analytics Feature]**: [Advanced analytics and machine learning capabilities]
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- **[Automation Feature]**: [Automated response and optimization features]
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- **[Integration Feature]**: [Advanced integration with external systems]
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## Hook System Integration
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### Event-Driven Monitoring
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- **[Hook Category]**: [Monitoring hooks for specific event types]
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- **[Trigger Events]**: [Events that activate monitoring collection]
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- **[Response Actions]**: [Automated responses to monitoring events]
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### Performance Hooks
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- **[Performance Event]**: [Performance-related hook integration]
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- **[Optimization Trigger]**: [Automatic optimization based on monitoring data]
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- **[Alerting Hook]**: [Hook-based alert generation and routing]
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## Error Handling & Recovery
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### Monitoring Failures
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- **[Failure Type]**: [How different monitoring failures are handled]
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- **[Fallback Strategy]**: [Backup monitoring approaches and degraded modes]
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- **[Recovery Procedure]**: [Automatic recovery and manual intervention options]
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### Data Integrity
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- **[Validation Method]**: [Data validation and consistency checking]
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- **[Corruption Handling]**: [Data corruption detection and recovery]
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- **[Backup Strategy]**: [Monitoring data backup and restoration procedures]
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## Configuration
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```yaml
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[mode_name]_monitoring:
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# Activation Configuration
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activation:
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automatic: [true|false]
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confidence_threshold: [0.0-1.0]
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detection_patterns: [list]
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# Performance Targets
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performance:
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collection_frequency_ms: [number]
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alert_response_time_ms: [number]
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dashboard_update_interval_ms: [number]
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report_generation_timeout_ms: [number]
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# Metrics Configuration
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metrics:
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collection_interval: [duration]
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retention_period: [duration]
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aggregation_windows: [list]
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precision_level: [number]
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# Monitoring Scope
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scope:
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commands: [list]
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operations: [list]
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resources: [list]
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integrations: [list]
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# Alert Configuration
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alerts:
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enabled: [true|false]
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severity_levels: [list]
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notification_methods: [list]
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escalation_timeout: [duration]
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# Dashboard Configuration
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dashboard:
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real_time_updates: [true|false]
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refresh_interval_ms: [number]
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visualization_types: [list]
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interactive_features: [true|false]
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# Analytics Configuration
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analytics:
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pattern_detection: [true|false]
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trend_analysis: [true|false]
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predictive_modeling: [true|false]
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correlation_analysis: [true|false]
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# Storage Configuration
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storage:
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backend_type: [string]
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compression_enabled: [true|false]
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retention_policy: [string]
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archival_strategy: [string]
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# Integration Configuration
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integration:
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quality_gates: [list]
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mcp_servers: [list]
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hook_system: [true|false]
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session_lifecycle: [true|false]
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```
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---
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# Monitoring Mode Template Guide
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## Overview
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This template provides a specialized format for documenting Monitoring and Analytics Modes in the SuperClaude framework. These modes focus on real-time tracking, metrics collection, performance monitoring, and analytical insights.
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## Key Characteristics: Monitoring Modes
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### Primary Focus Areas
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- **Real-Time Tracking**: Continuous monitoring with immediate feedback
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- **Performance Metrics**: Quantitative measurement and optimization
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- **System Analytics**: Pattern recognition and trend analysis
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- **Quality Assurance**: Compliance monitoring and validation
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- **Resource Optimization**: Efficiency tracking and improvement
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### Behavioral Modifications
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- **Continuous Collection**: Ongoing metrics gathering during operations
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- **Alert Generation**: Proactive notification of issues or opportunities
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- **Dashboard Updates**: Real-time information presentation
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- **Trend Analysis**: Historical pattern recognition and forecasting
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- **Performance Optimization**: Automatic or recommended improvements
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## Section Guidelines
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### Purpose & Monitoring Scope
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- Define what aspects of the system are monitored
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- Explain the value and necessity of continuous tracking
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- Identify specific domains and objectives for monitoring
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- Clarify the scope and boundaries of monitoring activities
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### Core Capabilities
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- **Real-Time Metrics**: Continuous data collection and processing
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- **Performance Monitoring**: System performance tracking and optimization
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- **Analytics & Pattern Recognition**: Data analysis and insight generation
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- **Dashboard & Reporting**: Information presentation and communication
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### Activation Patterns
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- Document automatic activation triggers based on system conditions
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- Include performance thresholds and quality gate integration
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- Specify manual activation flags and configuration options
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- Define smart detection patterns and confidence thresholds
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### Performance Targets
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- Specify concrete timing requirements for all monitoring operations
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- Define accuracy standards and data integrity requirements
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- Set resource efficiency limits and optimization constraints
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- Establish baseline performance metrics and improvement targets
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### Monitoring Framework
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- Detail the technical implementation of metrics collection
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- Describe real-time monitoring systems and alert engines
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- Explain analytics infrastructure and processing capabilities
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- Document data storage, retention, and archival strategies
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### Integration Patterns
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- Show how monitoring integrates with session lifecycle
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- Define quality gate integration points and validation phases
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- Explain coordination with commands, MCP servers, and other modes
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- Detail hook system integration for event-driven monitoring
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### Analytics & Reporting
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- Define dashboard formats and visualization approaches
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- Specify report structures and content organization
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- Explain trend analysis capabilities and predictive modeling
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- Detail alert systems and notification mechanisms
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### Configuration
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- Comprehensive YAML configuration covering all monitoring aspects
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- Include performance targets, alert settings, and integration options
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- Define storage configuration and analytics capabilities
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- Specify activation parameters and scope settings
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## Best Practices for Monitoring Modes
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### Performance-First Design
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1. **Minimal Overhead**: Monitoring should not significantly impact system performance
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2. **Efficient Collection**: Optimize data collection methods for minimal resource usage
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3. **Smart Aggregation**: Use intelligent aggregation to reduce storage and processing requirements
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4. **Selective Monitoring**: Enable targeted monitoring based on context and needs
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### Real-Time Responsiveness
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1. **Immediate Feedback**: Provide real-time updates and immediate alert generation
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2. **Low Latency**: Minimize delay between events and monitoring response
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3. **Continuous Operation**: Ensure monitoring continues even during system stress
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4. **Graceful Degradation**: Maintain essential monitoring even when resources are constrained
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### Data Quality & Integrity
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1. **Accurate Measurement**: Ensure monitoring data is precise and reliable
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2. **Consistent Collection**: Maintain consistency in data collection methods
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3. **Validation Checks**: Implement data validation and integrity checking
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4. **Error Handling**: Robust error handling for monitoring failures
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### Integration Excellence
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1. **Seamless Integration**: Monitoring should integrate transparently with existing workflows
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2. **Framework Compliance**: Maintain compliance with SuperClaude framework standards
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3. **Cross-Mode Coordination**: Coordinate effectively with other active modes
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4. **Hook System Integration**: Leverage hook system for event-driven monitoring
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## File Naming Convention
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- Use prefix: `MODE_[MonitoringType]_Monitoring.md`
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- Examples: `MODE_Performance_Monitoring.md`, `MODE_Quality_Analytics.md`, `MODE_Resource_Tracking.md`
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## Location
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All Monitoring Mode documentation files should be placed in:
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`SuperClaude/Modes/`
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## Integration with Template System
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This template specializes the base `Template_Mode.md` for monitoring and analytics use cases, providing:
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- Enhanced performance target specifications
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- Comprehensive monitoring framework documentation
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- Advanced analytics and reporting capabilities
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- Real-time system integration patterns
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- Sophisticated configuration options for monitoring systems |