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docs: Add comprehensive Framework-Hooks documentation
Complete technical documentation for the SuperClaude Framework-Hooks system: • Overview documentation explaining pattern-driven intelligence architecture • Individual hook documentation for all 7 lifecycle hooks with performance targets • Complete configuration documentation for all YAML/JSON config files • Pattern system documentation covering minimal/dynamic/learned patterns • Shared modules documentation for all core intelligence components • Integration guide showing SuperClaude framework coordination • Performance guide with optimization strategies and benchmarks Key technical features documented: - 90% context reduction through pattern-driven approach (50KB+ → 5KB) - 10x faster bootstrap performance (500ms+ → <50ms) - 7 lifecycle hooks with specific performance targets (50-200ms) - 5-level compression system with quality preservation ≥95% - Just-in-time capability loading with intelligent caching - Cross-hook learning system for continuous improvement - MCP server coordination for all 6 servers - Integration with 4 behavioral modes and 8-step quality gates Documentation provides complete technical reference for developers, system administrators, and users working with the Framework-Hooks system architecture and implementation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Framework-Hooks/docs/Configuration/modes.yaml.md
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Framework-Hooks/docs/Configuration/modes.yaml.md
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# Modes Configuration (`modes.yaml`)
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## Overview
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The `modes.yaml` file defines behavioral mode configurations for the SuperClaude-Lite framework. This configuration controls mode detection patterns, activation thresholds, coordination strategies, and integration patterns for all four SuperClaude behavioral modes.
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## Purpose and Role
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The modes configuration serves as:
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- **Mode Detection Engine**: Defines trigger patterns and confidence thresholds for automatic mode activation
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- **Behavioral Configuration**: Specifies mode-specific settings and coordination patterns
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- **Integration Orchestration**: Manages mode coordination with hooks, MCP servers, and commands
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- **Performance Optimization**: Configures performance profiles and resource management for each mode
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- **Learning Integration**: Enables mode effectiveness tracking and adaptive optimization
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## Configuration Structure
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### 1. Mode Detection Patterns (`mode_detection`)
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#### Brainstorming Mode
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```yaml
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brainstorming:
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description: "Interactive requirements discovery and exploration"
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activation_type: "automatic"
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confidence_threshold: 0.7
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trigger_patterns:
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vague_requests:
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- "i want to build"
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- "thinking about"
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- "not sure"
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- "maybe we could"
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- "what if we"
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- "considering"
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exploration_keywords:
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- "brainstorm"
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- "explore"
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- "discuss"
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- "figure out"
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- "work through"
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- "think through"
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uncertainty_indicators:
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- "maybe"
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- "possibly"
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- "perhaps"
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- "could we"
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- "would it be possible"
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- "wondering if"
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project_initiation:
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- "new project"
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- "startup idea"
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- "feature concept"
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- "app idea"
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- "building something"
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```
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**Purpose**: Detects exploratory and uncertain requests that benefit from interactive dialogue
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**Activation**: Automatic with 70% confidence threshold
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**Behavioral Settings**: Collaborative, non-presumptive dialogue with adaptive discovery depth
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#### Task Management Mode
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```yaml
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task_management:
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description: "Multi-layer task orchestration with delegation and wave systems"
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activation_type: "automatic"
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confidence_threshold: 0.8
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trigger_patterns:
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multi_step_operations:
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- "build"
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- "implement"
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- "create"
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- "develop"
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- "set up"
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- "establish"
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scope_indicators:
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- "system"
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- "feature"
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- "comprehensive"
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- "complete"
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- "entire"
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- "full"
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complexity_indicators:
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- "complex"
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- "multiple"
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- "several"
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- "many"
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- "various"
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- "different"
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auto_activation_thresholds:
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file_count: 3
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directory_count: 2
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complexity_score: 0.4
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operation_types: 2
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```
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**Purpose**: Manages complex, multi-step operations requiring coordination and delegation
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**Activation**: Automatic with 80% confidence threshold and quantitative thresholds
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**Thresholds**: 3+ files, 2+ directories, 0.4+ complexity score, 2+ operation types
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#### Token Efficiency Mode
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```yaml
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token_efficiency:
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description: "Intelligent token optimization with adaptive compression"
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activation_type: "automatic"
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confidence_threshold: 0.75
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trigger_patterns:
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resource_constraints:
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- "context usage >75%"
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- "large-scale operations"
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- "resource constraints"
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- "memory pressure"
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user_requests:
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- "brief"
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- "concise"
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- "compressed"
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- "short"
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- "efficient"
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- "minimal"
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efficiency_needs:
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- "token optimization"
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- "resource optimization"
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- "efficiency"
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- "performance"
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```
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**Purpose**: Optimizes token usage through intelligent compression and symbol systems
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**Activation**: Automatic with 75% confidence threshold
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**Compression Levels**: Minimal (0-40%) through Emergency (95%+)
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#### Introspection Mode
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```yaml
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introspection:
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description: "Meta-cognitive analysis and framework troubleshooting"
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activation_type: "automatic"
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confidence_threshold: 0.6
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trigger_patterns:
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self_analysis:
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- "analyze reasoning"
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- "examine decision"
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- "reflect on"
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- "thinking process"
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- "decision logic"
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problem_solving:
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- "complex problem"
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- "multi-step"
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- "meta-cognitive"
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- "systematic thinking"
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error_recovery:
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- "outcomes don't match"
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- "errors occur"
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- "unexpected results"
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- "troubleshoot"
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framework_discussion:
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- "SuperClaude"
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- "framework"
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- "meta-conversation"
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- "system analysis"
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```
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**Purpose**: Enables meta-cognitive analysis and framework troubleshooting
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**Activation**: Automatic with 60% confidence threshold (lower threshold for broader detection)
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**Analysis Depth**: Meta-cognitive with high transparency and continuous pattern recognition
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### 2. Mode Coordination Patterns (`mode_coordination`)
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#### Concurrent Mode Support
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```yaml
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concurrent_modes:
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allowed_combinations:
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- ["brainstorming", "token_efficiency"]
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- ["task_management", "token_efficiency"]
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- ["introspection", "token_efficiency"]
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- ["task_management", "introspection"]
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coordination_strategies:
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brainstorming_efficiency: "compress_non_dialogue_content"
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task_management_efficiency: "compress_session_metadata"
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introspection_efficiency: "selective_analysis_compression"
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```
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**Purpose**: Enables multiple modes to work together efficiently
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**Token Efficiency Integration**: Can combine with any other mode for resource optimization
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**Coordination Strategies**: Mode-specific compression and optimization patterns
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#### Mode Transitions
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```yaml
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mode_transitions:
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brainstorming_to_task_management:
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trigger: "requirements_clarified"
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handoff_data: ["brief", "requirements", "constraints"]
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task_management_to_introspection:
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trigger: "complex_issues_encountered"
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handoff_data: ["task_context", "performance_metrics", "issues"]
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any_to_token_efficiency:
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trigger: "resource_pressure"
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activation_priority: "immediate"
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```
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**Purpose**: Manages smooth transitions between modes with context preservation
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**Automatic Handoffs**: Seamless transitions based on contextual triggers
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**Data Preservation**: Critical context maintained during transitions
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### 3. Performance Profiles (`performance_profiles`)
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#### Lightweight Profile
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```yaml
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lightweight:
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target_response_time_ms: 100
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memory_usage_mb: 25
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cpu_utilization_percent: 20
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token_optimization: "standard"
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```
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**Usage**: Token Efficiency Mode, simple operations
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**Characteristics**: Fast response, minimal resource usage, standard optimization
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#### Standard Profile
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```yaml
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standard:
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target_response_time_ms: 200
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memory_usage_mb: 50
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cpu_utilization_percent: 40
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token_optimization: "balanced"
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```
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**Usage**: Brainstorming Mode, typical operations
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**Characteristics**: Balanced performance and functionality
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#### Intensive Profile
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```yaml
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intensive:
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target_response_time_ms: 500
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memory_usage_mb: 100
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cpu_utilization_percent: 70
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token_optimization: "aggressive"
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```
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**Usage**: Task Management Mode, complex operations
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**Characteristics**: Higher resource usage for complex analysis and coordination
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### 4. Mode-Specific Configurations (`mode_configurations`)
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#### Brainstorming Configuration
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```yaml
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brainstorming:
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dialogue:
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max_rounds: 15
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convergence_threshold: 0.85
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context_preservation: "full"
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brief_generation:
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min_requirements: 3
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include_context: true
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validation_criteria: ["clarity", "completeness", "actionability"]
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integration:
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auto_handoff: true
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prd_agent: "brainstorm-PRD"
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command_coordination: "/sc:brainstorm"
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```
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**Dialogue Management**: Up to 15 dialogue rounds with 85% convergence threshold
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**Brief Quality**: Minimum 3 requirements with comprehensive validation
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**Integration**: Automatic handoff to PRD agent with command coordination
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#### Task Management Configuration
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```yaml
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task_management:
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delegation:
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default_strategy: "auto"
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concurrency_limit: 7
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performance_monitoring: true
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wave_orchestration:
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auto_activation: true
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complexity_threshold: 0.4
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coordination_strategy: "adaptive"
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analytics:
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real_time_tracking: true
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performance_metrics: true
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optimization_suggestions: true
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```
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**Delegation**: Auto-strategy with 7 concurrent operations and performance monitoring
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**Wave Orchestration**: Auto-activation at 0.4 complexity with adaptive coordination
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**Analytics**: Real-time tracking with comprehensive performance metrics
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#### Token Efficiency Configuration
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```yaml
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token_efficiency:
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compression:
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adaptive_levels: true
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quality_thresholds: [0.98, 0.95, 0.90, 0.85, 0.80]
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symbol_systems: true
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abbreviation_systems: true
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selective_compression:
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framework_exclusion: true
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user_content_preservation: true
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session_data_optimization: true
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performance:
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processing_target_ms: 150
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efficiency_target: 0.50
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quality_preservation: 0.95
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```
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**Compression**: 5-level adaptive compression with quality thresholds
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**Selective Application**: Framework protection with user content preservation
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**Performance**: 150ms processing target with 50% efficiency gain and 95% quality preservation
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#### Introspection Configuration
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```yaml
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introspection:
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analysis:
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reasoning_depth: "comprehensive"
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pattern_detection: "continuous"
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bias_recognition: "active"
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transparency:
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thinking_process_exposure: true
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decision_logic_analysis: true
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assumption_validation: true
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learning:
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pattern_recognition: "continuous"
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effectiveness_tracking: true
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adaptation_suggestions: true
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```
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**Analysis Depth**: Comprehensive reasoning analysis with continuous pattern detection
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**Transparency**: Full exposure of thinking processes and decision logic
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**Learning**: Continuous pattern recognition with effectiveness tracking
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### 5. Learning Integration (`learning_integration`)
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#### Effectiveness Tracking
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```yaml
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learning_integration:
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mode_effectiveness_tracking:
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enabled: true
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metrics:
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- "activation_accuracy"
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- "user_satisfaction"
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- "task_completion_rates"
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- "performance_improvements"
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```
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**Metrics Collection**: Comprehensive effectiveness measurement across multiple dimensions
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**Continuous Monitoring**: Real-time tracking of mode performance and user satisfaction
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#### Adaptation Triggers
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```yaml
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adaptation_triggers:
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effectiveness_threshold: 0.7
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user_preference_weight: 0.8
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performance_impact_weight: 0.6
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```
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**Threshold Management**: 70% effectiveness threshold triggers adaptation
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**Preference Learning**: High weight on user preferences (80%)
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**Performance Balance**: Moderate weight on performance impact (60%)
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#### Pattern Learning
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```yaml
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pattern_learning:
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user_specific: true
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project_specific: true
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context_aware: true
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cross_session: true
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```
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**Learning Scope**: Multi-dimensional learning across user, project, context, and time
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**Continuous Improvement**: Persistent learning across sessions for long-term optimization
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### 6. Quality Gates Integration (`quality_gates`)
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```yaml
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quality_gates:
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mode_activation:
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pattern_confidence: 0.6
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context_appropriateness: 0.7
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performance_readiness: true
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mode_coordination:
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conflict_resolution: "automatic"
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resource_allocation: "intelligent"
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performance_monitoring: "continuous"
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mode_effectiveness:
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real_time_monitoring: true
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adaptation_triggers: true
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quality_preservation: true
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```
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**Activation Quality**: Pattern confidence and context appropriateness thresholds
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**Coordination Quality**: Automatic conflict resolution with intelligent resource allocation
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**Effectiveness Quality**: Real-time monitoring with adaptation triggers
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## Integration Points
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### 1. Hook Integration (`integration_points.hooks`)
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```yaml
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hooks:
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session_start: "mode_initialization"
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pre_tool_use: "mode_coordination"
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post_tool_use: "mode_effectiveness_tracking"
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stop: "mode_analytics_consolidation"
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```
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**Session Start**: Mode initialization and activation
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**Pre-Tool Use**: Mode coordination and optimization
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**Post-Tool Use**: Effectiveness tracking and validation
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**Stop**: Analytics consolidation and learning
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### 2. MCP Server Integration (`integration_points.mcp_servers`)
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```yaml
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mcp_servers:
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brainstorming: ["sequential", "context7"]
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task_management: ["serena", "morphllm"]
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token_efficiency: ["morphllm"]
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introspection: ["sequential"]
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```
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**Brainstorming**: Sequential reasoning with documentation access
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**Task Management**: Semantic analysis with intelligent editing
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**Token Efficiency**: Optimized editing for compression
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**Introspection**: Deep analysis for meta-cognitive examination
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### 3. Command Integration (`integration_points.commands`)
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```yaml
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commands:
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brainstorming: "/sc:brainstorm"
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task_management: ["/task", "/spawn", "/loop"]
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reflection: "/sc:reflect"
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```
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**Brainstorming**: Dedicated brainstorming command
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**Task Management**: Multi-command orchestration
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**Reflection**: Introspection and analysis command
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## Performance Implications
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### 1. Mode Detection Overhead
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#### Pattern Matching Performance
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- **Detection Time**: 10-50ms per mode evaluation
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- **Confidence Calculation**: 5-20ms per trigger pattern set
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- **Total Detection**: 50-200ms for all mode evaluations
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#### Memory Usage
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||||
- **Pattern Storage**: 10-20KB per mode configuration
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- **Detection State**: 5-10KB during evaluation
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||||
- **Total Memory**: 50-100KB for mode detection system
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||||
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||||
### 2. Mode Coordination Impact
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||||
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||||
#### Concurrent Mode Overhead
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||||
- **Coordination Logic**: 20-100ms for multi-mode coordination
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- **Resource Allocation**: 10-50ms for intelligent resource management
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||||
- **Transition Handling**: 50-200ms for mode transitions with data preservation
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||||
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||||
#### Resource Distribution
|
||||
- **CPU Allocation**: Dynamic based on mode performance profiles
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||||
- **Memory Management**: Intelligent allocation based on mode requirements
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||||
- **Token Optimization**: Coordinated across all active modes
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||||
|
||||
### 3. Learning System Performance
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||||
|
||||
#### Effectiveness Tracking
|
||||
- **Metrics Collection**: 5-20ms per mode operation
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||||
- **Pattern Analysis**: 50-200ms for pattern recognition updates
|
||||
- **Adaptation Application**: 100-500ms for mode parameter adjustments
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||||
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||||
#### Storage Impact
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- **Learning Data**: 100-500KB per mode per session
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- **Pattern Storage**: 50-200KB persistent patterns per mode
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||||
- **Total Learning**: 1-5MB learning data with compression
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||||
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## Configuration Best Practices
|
||||
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||||
### 1. Production Mode Configuration
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||||
```yaml
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# Optimize for reliability and performance
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||||
mode_detection:
|
||||
brainstorming:
|
||||
confidence_threshold: 0.8 # Higher threshold for production
|
||||
task_management:
|
||||
auto_activation_thresholds:
|
||||
file_count: 5 # Higher threshold to prevent unnecessary activation
|
||||
```
|
||||
|
||||
### 2. Development Mode Configuration
|
||||
```yaml
|
||||
# Lower thresholds for testing and experimentation
|
||||
mode_detection:
|
||||
introspection:
|
||||
confidence_threshold: 0.4 # Lower threshold for more introspection
|
||||
learning_integration:
|
||||
adaptation_triggers:
|
||||
effectiveness_threshold: 0.5 # More aggressive adaptation
|
||||
```
|
||||
|
||||
### 3. Performance-Optimized Configuration
|
||||
```yaml
|
||||
# Minimal mode activation for performance-critical environments
|
||||
performance_profiles:
|
||||
lightweight:
|
||||
target_response_time_ms: 50 # Stricter performance targets
|
||||
mode_coordination:
|
||||
concurrent_modes:
|
||||
allowed_combinations: [] # Disable concurrent modes
|
||||
```
|
||||
|
||||
### 4. Learning-Optimized Configuration
|
||||
```yaml
|
||||
# Maximum learning and adaptation
|
||||
learning_integration:
|
||||
pattern_learning:
|
||||
cross_session: true
|
||||
adaptation_frequency: "high"
|
||||
mode_effectiveness_tracking:
|
||||
detailed_analytics: true
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Common Mode Issues
|
||||
|
||||
#### Mode Not Activating
|
||||
- **Check**: Trigger patterns match user input
|
||||
- **Verify**: Confidence threshold appropriate for use case
|
||||
- **Debug**: Log pattern matching results
|
||||
- **Adjust**: Lower confidence threshold or add trigger patterns
|
||||
|
||||
#### Wrong Mode Activated
|
||||
- **Analysis**: Review trigger pattern specificity
|
||||
- **Solution**: Increase confidence thresholds or refine patterns
|
||||
- **Testing**: Test pattern matching with sample inputs
|
||||
- **Validation**: Monitor mode activation accuracy metrics
|
||||
|
||||
#### Mode Coordination Conflicts
|
||||
- **Symptoms**: Multiple modes competing for resources
|
||||
- **Resolution**: Check allowed combinations and coordination strategies
|
||||
- **Optimization**: Adjust resource allocation and priority settings
|
||||
- **Monitoring**: Track coordination effectiveness metrics
|
||||
|
||||
#### Performance Degradation
|
||||
- **Identification**: Monitor mode detection and coordination overhead
|
||||
- **Optimization**: Adjust performance profiles and thresholds
|
||||
- **Resource Management**: Review concurrent mode limitations
|
||||
- **Profiling**: Analyze mode-specific performance impact
|
||||
|
||||
### Learning System Troubleshooting
|
||||
|
||||
#### No Learning Observed
|
||||
- **Check**: Learning integration enabled for relevant modes
|
||||
- **Verify**: Effectiveness tracking collecting data
|
||||
- **Debug**: Review adaptation trigger thresholds
|
||||
- **Fix**: Ensure learning data persistence and pattern storage
|
||||
|
||||
#### Ineffective Adaptations
|
||||
- **Analysis**: Review effectiveness metrics and adaptation triggers
|
||||
- **Adjustment**: Modify effectiveness thresholds and learning weights
|
||||
- **Validation**: Test adaptation effectiveness with controlled scenarios
|
||||
- **Monitoring**: Track long-term learning trends and user satisfaction
|
||||
|
||||
## Related Documentation
|
||||
|
||||
- **Mode Implementation**: See individual mode documentation (MODE_*.md files)
|
||||
- **Hook Integration**: Reference hook documentation for mode coordination
|
||||
- **MCP Server Coordination**: Review MCP server documentation for mode-specific optimization
|
||||
- **Command Integration**: See command documentation for mode-command coordination
|
||||
|
||||
## Version History
|
||||
|
||||
- **v1.0.0**: Initial modes configuration
|
||||
- 4-mode behavioral system with comprehensive detection patterns
|
||||
- Mode coordination and transition management
|
||||
- Performance profiles and resource management
|
||||
- Learning integration with effectiveness tracking
|
||||
- Quality gates integration for mode validation
|
||||
Reference in New Issue
Block a user