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feat: Implement YAML-first declarative intelligence architecture

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Revolutionary transformation from hardcoded Python intelligence to hot-reloadable
YAML patterns, enabling dynamic configuration without code changes.

## Phase 1: Foundation Intelligence Complete

### YAML Intelligence Patterns (6 files)
- intelligence_patterns.yaml: Multi-dimensional pattern recognition with adaptive learning
- mcp_orchestration.yaml: Server selection decision trees with load balancing
- hook_coordination.yaml: Parallel execution patterns with dependency resolution
- performance_intelligence.yaml: Resource zones and auto-optimization triggers
- validation_intelligence.yaml: Health scoring and proactive diagnostic patterns
- user_experience.yaml: Project detection and smart UX adaptations

### Python Infrastructure Enhanced (4 components)
- intelligence_engine.py: Generic YAML pattern interpreter with hot-reload
- learning_engine.py: Enhanced with YAML intelligence integration
- yaml_loader.py: Added intelligence configuration helper methods
- validate_system.py: New YAML-driven validation with health scoring

### Key Features Implemented
- Hot-reload intelligence: Update patterns without code changes or restarts
- Declarative configuration: All intelligence logic expressed in YAML
- Graceful fallbacks: System works correctly even with missing YAML files
- Multi-pattern coordination: Intelligent recommendations from multiple sources
- Health scoring: Component-weighted validation with predictive diagnostics
- Generic architecture: Single engine consumes all intelligence pattern types

### Testing Results
✅ All components integrate correctly
✅ Hot-reload mechanism functional
✅ Graceful error handling verified
✅ YAML-driven validation operational
✅ Health scoring system working (detected real system issues)

This enables users to modify intelligence behavior by editing YAML files,
add new pattern types without coding, and hot-reload improvements in real-time.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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2025-08-06 13:26:04 +02:00
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Framework-Hooks/config/modes.yaml
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# SuperClaude-Lite Modes Configuration
# Mode detection patterns and behavioral configurations
# Mode Detection Patterns
# Mode detection patterns for SuperClaude-Lite
mode_detection:
brainstorming:
description: "Interactive requirements discovery and exploration"
activation_type: "automatic"
enabled: true
trigger_patterns:
- "I want to build"
- "thinking about"
- "not sure"
- "maybe.*could"
- "brainstorm"
- "explore"
- "figure out"
- "unclear.*requirements"
- "ambiguous.*needs"
confidence_threshold: 0.7
trigger_patterns:
vague_requests:
- "i want to build"
- "thinking about"
- "not sure"
- "maybe we could"
- "what if we"
- "considering"
exploration_keywords:
- "brainstorm"
- "explore"
- "discuss"
- "figure out"
- "work through"
- "think through"
uncertainty_indicators:
- "maybe"
- "possibly"
- "perhaps"
- "could we"
- "would it be possible"
- "wondering if"
project_initiation:
- "new project"
- "startup idea"
- "feature concept"
- "app idea"
- "building something"
behavioral_settings:
dialogue_style: "collaborative_non_presumptive"
discovery_depth: "adaptive"
context_retention: "cross_session"
handoff_automation: true
integration:
command_trigger: "/sc:brainstorm"
mcp_servers: ["sequential", "context7"]
quality_gates: ["requirements_clarity", "brief_completeness"]
auto_activate: true
task_management:
description: "Multi-layer task orchestration with delegation and wave systems"
activation_type: "automatic"
confidence_threshold: 0.8
enabled: true
trigger_patterns:
multi_step_operations:
- "build"
- "implement"
- "create"
- "develop"
- "set up"
- "establish"
scope_indicators:
- "system"
- "feature"
- "comprehensive"
- "complete"
- "entire"
- "full"
complexity_indicators:
- "complex"
- "multiple"
- "several"
- "many"
- "various"
- "different"
- "multiple.*tasks"
- "complex.*system"
- "build.*comprehensive"
- "coordinate.*work"
- "large-scale.*operation"
- "manage.*operations"
- "comprehensive.*refactoring"
- "authentication.*system"
confidence_threshold: 0.7
auto_activate: true
auto_activation_thresholds:
file_count: 3
directory_count: 2
complexity_score: 0.4
operation_types: 2
delegation_strategies:
files: "individual_file_analysis"
folders: "directory_level_analysis"
auto: "intelligent_auto_detection"
wave_orchestration:
enabled: true
strategies: ["progressive", "systematic", "adaptive", "enterprise"]
behavioral_settings:
coordination_mode: "intelligent"
parallel_optimization: true
learning_integration: true
analytics_tracking: true
token_efficiency:
description: "Intelligent token optimization with adaptive compression"
activation_type: "automatic"
confidence_threshold: 0.75
trigger_patterns:
resource_constraints:
- "context usage >75%"
- "large-scale operations"
- "resource constraints"
- "memory pressure"
user_requests:
- "brief"
- "concise"
- "compressed"
- "short"
- "efficient"
- "minimal"
efficiency_needs:
- "token optimization"
- "resource optimization"
- "efficiency"
- "performance"
compression_levels:
minimal: "0-40%"
efficient: "40-70%"
compressed: "70-85%"
critical: "85-95%"
emergency: "95%+"
behavioral_settings:
symbol_systems: true
abbreviation_systems: true
selective_compression: true
quality_preservation: 0.95
introspection:
description: "Meta-cognitive analysis and framework troubleshooting"
activation_type: "automatic"
confidence_threshold: 0.6
trigger_patterns:
self_analysis:
- "analyze reasoning"
- "examine decision"
- "reflect on"
- "thinking process"
- "decision logic"
problem_solving:
- "complex problem"
- "multi-step"
- "meta-cognitive"
- "systematic thinking"
error_recovery:
- "outcomes don't match"
- "errors occur"
- "unexpected results"
- "troubleshoot"
framework_discussion:
- "SuperClaude"
- "framework"
- "meta-conversation"
- "system analysis"
behavioral_settings:
analysis_depth: "meta_cognitive"
transparency_level: "high"
pattern_recognition: "continuous"
learning_integration: "active"
# Mode Coordination Patterns
mode_coordination:
concurrent_modes:
allowed_combinations:
- ["brainstorming", "token_efficiency"]
- ["task_management", "token_efficiency"]
- ["introspection", "token_efficiency"]
- ["task_management", "introspection"]
coordination_strategies:
brainstorming_efficiency: "compress_non_dialogue_content"
task_management_efficiency: "compress_session_metadata"
introspection_efficiency: "selective_analysis_compression"
mode_transitions:
brainstorming_to_task_management:
trigger: "requirements_clarified"
handoff_data: ["brief", "requirements", "constraints"]
task_management_to_introspection:
trigger: "complex_issues_encountered"
handoff_data: ["task_context", "performance_metrics", "issues"]
any_to_token_efficiency:
trigger: "resource_pressure"
activation_priority: "immediate"
# Performance Profiles
performance_profiles:
lightweight:
target_response_time_ms: 100
memory_usage_mb: 25
cpu_utilization_percent: 20
token_optimization: "standard"
standard:
target_response_time_ms: 200
memory_usage_mb: 50
cpu_utilization_percent: 40
token_optimization: "balanced"
intensive:
target_response_time_ms: 500
memory_usage_mb: 100
cpu_utilization_percent: 70
token_optimization: "aggressive"
# Mode-Specific Configurations
mode_configurations:
brainstorming:
dialogue:
max_rounds: 15
convergence_threshold: 0.85
context_preservation: "full"
brief_generation:
min_requirements: 3
include_context: true
validation_criteria: ["clarity", "completeness", "actionability"]
integration:
auto_handoff: true
prd_agent: "brainstorm-PRD"
command_coordination: "/sc:brainstorm"
task_management:
delegation:
default_strategy: "auto"
concurrency_limit: 7
performance_monitoring: true
wave_orchestration:
auto_activation: true
complexity_threshold: 0.4
coordination_strategy: "adaptive"
analytics:
real_time_tracking: true
performance_metrics: true
optimization_suggestions: true
token_efficiency:
compression:
adaptive_levels: true
quality_thresholds: [0.98, 0.95, 0.90, 0.85, 0.80]
symbol_systems: true
abbreviation_systems: true
selective_compression:
framework_exclusion: true
user_content_preservation: true
session_data_optimization: true
performance:
processing_target_ms: 150
efficiency_target: 0.50
quality_preservation: 0.95
introspection:
analysis:
reasoning_depth: "comprehensive"
pattern_detection: "continuous"
bias_recognition: "active"
transparency:
thinking_process_exposure: true
decision_logic_analysis: true
assumption_validation: true
learning:
pattern_recognition: "continuous"
effectiveness_tracking: true
adaptation_suggestions: true
# Learning Integration
learning_integration:
mode_effectiveness_tracking:
enabled: true
metrics:
- "activation_accuracy"
- "user_satisfaction"
- "task_completion_rates"
- "performance_improvements"
adaptation_triggers:
effectiveness_threshold: 0.7
user_preference_weight: 0.8
performance_impact_weight: 0.6
pattern_learning:
user_specific: true
project_specific: true
context_aware: true
cross_session: true
# Quality Gates
quality_gates:
mode_activation:
pattern_confidence: 0.6
context_appropriateness: 0.7
performance_readiness: true
mode_coordination:
conflict_resolution: "automatic"
resource_allocation: "intelligent"
performance_monitoring: "continuous"
mode_effectiveness:
real_time_monitoring: true
adaptation_triggers: true
quality_preservation: true
# Error Handling
error_handling:
mode_activation_failures:
fallback_strategy: "graceful_degradation"
retry_mechanism: "adaptive"
error_learning: true
coordination_conflicts:
resolution_strategy: "priority_based"
resource_arbitration: "intelligent"
performance_preservation: true
performance_degradation:
detection: "real_time"
mitigation: "automatic"
learning_integration: true
# Integration Points
integration_points:
commands:
brainstorming: "/sc:brainstorm"
task_management: ["/task", "/spawn", "/loop"]
reflection: "/sc:reflect"
mcp_servers:
brainstorming: ["sequential", "context7"]
task_management: ["serena", "morphllm"]
token_efficiency: ["morphllm"]
introspection: ["sequential"]
hooks:
session_start: "mode_initialization"
pre_tool_use: "mode_coordination"
post_tool_use: "mode_effectiveness_tracking"
stop: "mode_analytics_consolidation"
trigger_patterns:
- "brief"
- "concise"
- "compressed"
- "efficient.*output"
- "token.*optimization"
- "short.*response"
- "running.*low.*context"
confidence_threshold: 0.75
auto_activate: true
introspection:
enabled: true
trigger_patterns:
- "analyze.*reasoning"
- "examine.*decision"
- "reflect.*on"
- "meta.*cognitive"
- "thinking.*process"
- "reasoning.*process"
- "decision.*made"
confidence_threshold: 0.6
auto_activate: true