SuperClaude/Templates/Template_Mode_Monitoring_Analytics.md

[Monitoring Mode Name] Mode

---
name: [mode-name]
description: "[Clear purpose and behavioral modification description]"
type: monitoring

# Mode Classification
category: tracking
complexity: system
scope: framework

# Activation Configuration
activation:
  automatic: [true|false]
  manual-flags: [list of flags]
  confidence-threshold: [0.0-1.0]
  detection-patterns: [monitoring trigger patterns]

# Integration Configuration
framework-integration:
  mcp-servers: [list of coordinated servers]
  commands: [list of monitored commands]
  modes: [list of coordinated modes]
  quality-gates: [monitoring integration points]

# Performance Profile
performance-profile: real-time
performance-targets: [specific monitoring requirements]
---

[Optional Subtitle] - [Brief description of real-time monitoring and metrics collection capabilities]

Purpose & Monitoring Scope

[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.]

Monitoring Domains

• [Domain 1]: [What aspects are monitored and why]
• [Domain 2]: [Specific metrics and tracking requirements]
• [Domain 3]: [Performance characteristics monitored]

Tracking Objectives

• [Objective 1]: [Specific measurement goals and targets]
• [Objective 2]: [Quality metrics and thresholds]
• [Objective 3]: [Performance optimization goals]

Core Capabilities

1. Real-Time Metrics Collection

• [Metric Category]: [Description of metrics tracked and collection method]
• [Metric Category]: [Real-time measurement approach and frequency]
• [Metric Category]: [Data aggregation and storage strategy]
• [Metric Category]: [Historical trend analysis capabilities]

2. Performance Monitoring

• [Performance Aspect]: [Specific performance metrics and targets]
• [Performance Aspect]: [Threshold monitoring and alert systems]
• [Performance Aspect]: [Optimization detection and recommendations]
• [Performance Aspect]: [Resource utilization tracking]

3. Analytics & Pattern Recognition

• [Analysis Type]: [Pattern detection algorithms and insights]
• [Analysis Type]: [Trend analysis and predictive capabilities]
• [Analysis Type]: [Anomaly detection and alert mechanisms]
• [Analysis Type]: [Correlation analysis across metrics]

4. Dashboard & Reporting

• [Dashboard Type]: [Real-time dashboard format and information]
• [Report Format]: [Structured reporting capabilities and frequency]
• [Alert System]: [Notification mechanisms and escalation paths]
• [Export Capabilities]: [Data export formats and integration options]

Activation Patterns

Automatic Activation

1. [Monitoring Trigger]: [Specific conditions that automatically enable monitoring]
2. [Performance Threshold]: [Performance degradation or optimization opportunities]
3. [System Event]: [System lifecycle events requiring monitoring]
4. [Risk Indicator]: [High-risk operations needing continuous tracking]
5. [Quality Gate]: [Integration with SuperClaude quality validation steps]

Manual Activation

• Primary Flag: --[shorthand] or --[fullname]
• Monitoring Scope: --monitor-[scope] for targeted monitoring
• Alert Level: --alert-level [level] for threshold configuration
• Context: [When users would manually activate comprehensive monitoring]

Smart Detection Patterns

• [Pattern Type]: [Detection algorithms and confidence thresholds]
• [Context Indicator]: [Situational awareness patterns]
• [Risk Assessment]: [Risk-based activation strategies]

Performance Targets

Response Time Requirements

• Metrics Collection: [Target collection frequency and latency]
• Dashboard Updates: [Real-time update requirements]
• Alert Generation: [Alert response time targets]
• Report Generation: [Report compilation time limits]

Accuracy Standards

• Measurement Precision: [Required accuracy levels for different metrics]
• Data Integrity: [Data validation and consistency requirements]
• Historical Accuracy: [Long-term data preservation standards]

Resource Efficiency

• CPU Overhead: [Maximum CPU usage for monitoring operations]
• Memory Usage: [Memory footprint limits and optimization]
• Storage Requirements: [Data retention and compression strategies]
• Network Impact: [Network utilization limits for distributed monitoring]

Monitoring Framework

Metrics Collection Engine

• [Collection Method]: [Real-time data collection approach and tools]
• [Aggregation Strategy]: [Data aggregation algorithms and time windows]
• [Storage Architecture]: [Metrics storage and retrieval system]
• [Retention Policy]: [Data lifecycle and archival strategies]

Real-Time Monitoring Systems

• [Monitoring Component]: [Continuous monitoring implementation]
• [Alert Engine]: [Real-time alert generation and routing]
• [Threshold Management]: [Dynamic threshold adjustment capabilities]
• [Escalation System]: [Alert escalation and notification workflows]

Analytics Infrastructure

• [Analysis Engine]: [Real-time analytics processing capabilities]
• [Pattern Detection]: [Automated pattern recognition systems]
• [Predictive Analytics]: [Forecasting and trend prediction capabilities]
• [Correlation Analysis]: [Cross-metric correlation and causation analysis]

Integration Patterns

Session Lifecycle Integration

• Session Start: [Monitoring initialization and baseline establishment]
• Active Monitoring: [Continuous tracking during work sessions]
• Checkpoint Integration: [Metrics capture during checkpoints]
• Session End: [Final metrics collection and summary generation]

Quality Gates Integration

• [Quality Gate Step]: [Specific monitoring integration point]
• [Validation Phase]: [Performance validation during quality checks]
• [Compliance Monitoring]: [Framework compliance tracking]

Command Coordination

• [Command Category]: [Monitoring integration with specific command types]
• [Operation Type]: [Performance tracking for different operation categories]
• [Workflow Integration]: [Monitoring embedded in standard workflows]

MCP Server Coordination

• [Server Name]: [Monitoring integration with specific MCP servers]
• [Cross-Server Analytics]: [Coordination monitoring across multiple servers]
• [Performance Correlation]: [Server performance impact analysis]

Mode Interactions

• [Coordinated Mode]: [How monitoring integrates with other active modes]
• [Mode Switching]: [Monitoring behavior during mode transitions]
• [Multi-Mode Analytics]: [Analysis across multiple active modes]

Analytics & Reporting

Dashboard Formats

• [Dashboard Type]: [Real-time dashboard structure and components]
• [Visualization Format]: [Chart types and data presentation methods]
• [Interactive Features]: [User interaction capabilities and drill-down options]

Report Structures

• [Report Category]: [Structured report format and content organization]
• [Summary Format]: [Executive summary and key metrics presentation]
• [Detailed Analysis]: [In-depth analysis report structure]

Trend Analysis

• [Trend Type]: [Historical trend analysis capabilities]
• [Predictive Modeling]: [Forecasting algorithms and accuracy metrics]
• [Comparative Analysis]: [Baseline comparison and performance evolution]

Alert Systems

• [Alert Level]: [Alert severity classification and response requirements]
• [Notification Methods]: [Alert delivery mechanisms and routing]
• [Escalation Procedures]: [Alert escalation workflows and timeouts]

Advanced Features

[Feature Category 1]

• [Advanced Feature]: [Description of sophisticated monitoring capability]
• [Integration Method]: [How advanced features integrate with core monitoring]
• [Performance Impact]: [Resource requirements and optimization strategies]

[Feature Category 2]

• [Analytics Feature]: [Advanced analytics and machine learning capabilities]
• [Automation Feature]: [Automated response and optimization features]
• [Integration Feature]: [Advanced integration with external systems]

Hook System Integration

Event-Driven Monitoring

• [Hook Category]: [Monitoring hooks for specific event types]
• [Trigger Events]: [Events that activate monitoring collection]
• [Response Actions]: [Automated responses to monitoring events]

Performance Hooks

• [Performance Event]: [Performance-related hook integration]
• [Optimization Trigger]: [Automatic optimization based on monitoring data]
• [Alerting Hook]: [Hook-based alert generation and routing]

Error Handling & Recovery

Monitoring Failures

• [Failure Type]: [How different monitoring failures are handled]
• [Fallback Strategy]: [Backup monitoring approaches and degraded modes]
• [Recovery Procedure]: [Automatic recovery and manual intervention options]

Data Integrity

• [Validation Method]: [Data validation and consistency checking]
• [Corruption Handling]: [Data corruption detection and recovery]
• [Backup Strategy]: [Monitoring data backup and restoration procedures]

Configuration

[mode_name]_monitoring:
  # Activation Configuration
  activation:
    automatic: [true|false]
    confidence_threshold: [0.0-1.0]
    detection_patterns: [list]
    
  # Performance Targets
  performance:
    collection_frequency_ms: [number]
    alert_response_time_ms: [number]
    dashboard_update_interval_ms: [number]
    report_generation_timeout_ms: [number]
    
  # Metrics Configuration
  metrics:
    collection_interval: [duration]
    retention_period: [duration]
    aggregation_windows: [list]
    precision_level: [number]
    
  # Monitoring Scope
  scope:
    commands: [list]
    operations: [list]
    resources: [list]
    integrations: [list]
    
  # Alert Configuration
  alerts:
    enabled: [true|false]
    severity_levels: [list]
    notification_methods: [list]
    escalation_timeout: [duration]
    
  # Dashboard Configuration
  dashboard:
    real_time_updates: [true|false]
    refresh_interval_ms: [number]
    visualization_types: [list]
    interactive_features: [true|false]
    
  # Analytics Configuration
  analytics:
    pattern_detection: [true|false]
    trend_analysis: [true|false]
    predictive_modeling: [true|false]
    correlation_analysis: [true|false]
    
  # Storage Configuration
  storage:
    backend_type: [string]
    compression_enabled: [true|false]
    retention_policy: [string]
    archival_strategy: [string]
    
  # Integration Configuration
  integration:
    quality_gates: [list]
    mcp_servers: [list]
    hook_system: [true|false]
    session_lifecycle: [true|false]

---

Monitoring Mode Template Guide

Overview

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.

Key Characteristics: Monitoring Modes

Primary Focus Areas

• Real-Time Tracking: Continuous monitoring with immediate feedback
• Performance Metrics: Quantitative measurement and optimization
• System Analytics: Pattern recognition and trend analysis
• Quality Assurance: Compliance monitoring and validation
• Resource Optimization: Efficiency tracking and improvement

Behavioral Modifications

• Continuous Collection: Ongoing metrics gathering during operations
• Alert Generation: Proactive notification of issues or opportunities
• Dashboard Updates: Real-time information presentation
• Trend Analysis: Historical pattern recognition and forecasting
• Performance Optimization: Automatic or recommended improvements

Section Guidelines

Purpose & Monitoring Scope

• Define what aspects of the system are monitored
• Explain the value and necessity of continuous tracking
• Identify specific domains and objectives for monitoring
• Clarify the scope and boundaries of monitoring activities

Core Capabilities

• Real-Time Metrics: Continuous data collection and processing
• Performance Monitoring: System performance tracking and optimization
• Analytics & Pattern Recognition: Data analysis and insight generation
• Dashboard & Reporting: Information presentation and communication

Activation Patterns

• Document automatic activation triggers based on system conditions
• Include performance thresholds and quality gate integration
• Specify manual activation flags and configuration options
• Define smart detection patterns and confidence thresholds

Performance Targets

• Specify concrete timing requirements for all monitoring operations
• Define accuracy standards and data integrity requirements
• Set resource efficiency limits and optimization constraints
• Establish baseline performance metrics and improvement targets

Monitoring Framework

• Detail the technical implementation of metrics collection
• Describe real-time monitoring systems and alert engines
• Explain analytics infrastructure and processing capabilities
• Document data storage, retention, and archival strategies

Integration Patterns

• Show how monitoring integrates with session lifecycle
• Define quality gate integration points and validation phases
• Explain coordination with commands, MCP servers, and other modes
• Detail hook system integration for event-driven monitoring

Analytics & Reporting

• Define dashboard formats and visualization approaches
• Specify report structures and content organization
• Explain trend analysis capabilities and predictive modeling
• Detail alert systems and notification mechanisms

Configuration

• Comprehensive YAML configuration covering all monitoring aspects
• Include performance targets, alert settings, and integration options
• Define storage configuration and analytics capabilities
• Specify activation parameters and scope settings

Best Practices for Monitoring Modes

Performance-First Design

1. Minimal Overhead: Monitoring should not significantly impact system performance
2. Efficient Collection: Optimize data collection methods for minimal resource usage
3. Smart Aggregation: Use intelligent aggregation to reduce storage and processing requirements
4. Selective Monitoring: Enable targeted monitoring based on context and needs

Real-Time Responsiveness

1. Immediate Feedback: Provide real-time updates and immediate alert generation
2. Low Latency: Minimize delay between events and monitoring response
3. Continuous Operation: Ensure monitoring continues even during system stress
4. Graceful Degradation: Maintain essential monitoring even when resources are constrained

Data Quality & Integrity

1. Accurate Measurement: Ensure monitoring data is precise and reliable
2. Consistent Collection: Maintain consistency in data collection methods
3. Validation Checks: Implement data validation and integrity checking
4. Error Handling: Robust error handling for monitoring failures

Integration Excellence

1. Seamless Integration: Monitoring should integrate transparently with existing workflows
2. Framework Compliance: Maintain compliance with SuperClaude framework standards
3. Cross-Mode Coordination: Coordinate effectively with other active modes
4. Hook System Integration: Leverage hook system for event-driven monitoring

File Naming Convention

• Use prefix: MODE_[MonitoringType]_Monitoring.md
• Examples: MODE_Performance_Monitoring.md, MODE_Quality_Analytics.md, MODE_Resource_Tracking.md

Location

All Monitoring Mode documentation files should be placed in: SuperClaude/Modes/

Integration with Template System

This template specializes the base Template_Mode.md for monitoring and analytics use cases, providing:

• Enhanced performance target specifications
• Comprehensive monitoring framework documentation
• Advanced analytics and reporting capabilities
• Real-time system integration patterns
• Sophisticated configuration options for monitoring systems