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9edf3f8802
Major documentation update focused on technical accuracy and developer clarity: Documentation Changes: - Rewrote README.md with focus on hooks system architecture - Updated all core docs (Overview, Integration, Performance) to match implementation - Created 6 missing configuration docs for undocumented YAML files - Updated all 7 hook docs to reflect actual Python implementations - Created docs for 2 missing shared modules (intelligence_engine, validate_system) - Updated all 5 pattern docs with real YAML examples - Added 4 essential operational docs (INSTALLATION, TROUBLESHOOTING, CONFIGURATION, QUICK_REFERENCE) Key Improvements: - Removed all marketing language in favor of humble technical documentation - Fixed critical configuration discrepancies (logging defaults, performance targets) - Used actual code examples and configuration from implementation - Complete coverage: 15 configs, 10 modules, 7 hooks, 3 pattern tiers - Based all documentation on actual file review and code analysis Technical Accuracy: - Corrected performance targets to match performance.yaml - Fixed timeout values from settings.json (10-15 seconds) - Updated module count and descriptions to match actual shared/ directory - Aligned all examples with actual YAML and Python implementations The documentation now provides accurate, practical information for developers working with the Framework-Hooks system, focusing on what it actually does rather than aspirational features. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
63 lines
2.8 KiB
Markdown
63 lines
2.8 KiB
Markdown
# Intelligence Patterns Configuration (`intelligence_patterns.yaml`)
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## Overview
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The `intelligence_patterns.yaml` file defines core learning intelligence patterns for SuperClaude Framework-Hooks. This configuration enables multi-dimensional pattern recognition, adaptive learning, and intelligent behavior adaptation.
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## Purpose and Role
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This configuration provides:
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- **Pattern Recognition**: Multi-dimensional analysis of operation patterns
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- **Adaptive Learning**: Dynamic learning rate and confidence adjustment
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- **Behavior Intelligence**: Context-aware decision making and optimization
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- **Performance Intelligence**: Success pattern recognition and optimization
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## Key Configuration Areas
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### 1. Pattern Recognition
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- **Multi-Dimensional Analysis**: Context type, complexity, operation type, performance
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- **Signature Generation**: Unique pattern identification for caching and learning
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- **Pattern Clustering**: Groups similar patterns for behavioral optimization
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- **Similarity Thresholds**: Controls pattern matching sensitivity
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### 2. Adaptive Learning
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- **Dynamic Learning Rates**: Confidence-based learning rate adjustment (0.1-1.0)
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- **Confidence Scoring**: Multi-factor confidence assessment
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- **Learning Windows**: Time-based and operation-based learning boundaries
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- **Adaptation Strategies**: How the system adapts to new patterns
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### 3. Intelligence Behaviors
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- **Context Intelligence**: Situation-aware decision making
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- **Performance Intelligence**: Success pattern recognition and replication
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- **User Intelligence**: User behavior pattern learning and adaptation
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- **System Intelligence**: System performance pattern optimization
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## Configuration Structure
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The file includes detailed configurations for:
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- Learning intelligence parameters and thresholds
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- Pattern recognition algorithms and clustering
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- Confidence scoring and adaptation strategies
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- Intelligence behavior definitions and triggers
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## Integration Points
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### Hook Integration
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- Pattern recognition runs during hook execution
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- Learning updates occur post-operation
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- Intelligence behaviors influence hook coordination
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### Performance Integration
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- Performance patterns inform optimization decisions
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- Success patterns guide resource allocation
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- Failure patterns trigger adaptation strategies
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## Usage Guidelines
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This is an advanced configuration file that controls the core learning and intelligence capabilities of the Framework-Hooks system. Most users should not need to modify these settings, as they are tuned for optimal performance across different use cases.
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## Related Documentation
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- **Hook Coordination**: `hook_coordination.yaml.md` for execution patterns
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- **Performance**: `performance.yaml.md` for performance optimization
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- **User Experience**: `user_experience.yaml.md` for user-focused intelligence |