mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
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docs: Complete Framework-Hooks documentation overhaul
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>
This commit is contained in:
NomenAK
@@ -1,83 +1,57 @@
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# Minimal Patterns: Ultra-Fast Project Bootstrap
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# Minimal Patterns: Project Detection and Bootstrap
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## Overview
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Minimal Patterns form the foundation of SuperClaude's revolutionary bootstrap system, achieving **40-50ms initialization times** with **3-5KB context footprints**. These patterns enable instant project detection and intelligent MCP server coordination through lightweight, rule-based classification.
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Minimal patterns provide project type detection and initial Framework-Hooks configuration. These patterns are stored in `/patterns/minimal/` and automatically configure MCP server activation and auto-flags based on detected project characteristics.
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## Architecture Principles
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## Purpose
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### Ultra-Lightweight Design
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Minimal patterns handle:
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Minimal Patterns are designed for maximum speed and minimal memory usage:
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```yaml
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design_constraints:
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size_limit: "5KB maximum per pattern"
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load_time: "<50ms target"
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memory_footprint: "minimal heap allocation"
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cache_duration: "45-60 minutes optimal"
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detection_accuracy: ">98% required"
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```
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### Bootstrap Sequence
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```
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File Detection → Pattern Matching → MCP Activation → Auto-Flags → Ready
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↓ ↓ ↓ ↓ ↓
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<10ms <15ms <20ms <5ms 40-50ms
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```
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- **Project Detection**: Identify project type from file structure and dependencies
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- **MCP Server Selection**: Configure primary and secondary MCP servers
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- **Auto-Flag Configuration**: Set automatic flags for immediate activation
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- **Performance Targets**: Define bootstrap timing and context size goals
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## Pattern Structure
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### Core Schema
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Every minimal pattern follows this optimized structure:
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All minimal patterns follow this YAML structure:
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```yaml
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# Pattern Identification
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project_type: "string" # Unique project classifier
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project_type: "string" # Unique project identifier
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detection_patterns: [] # File/directory detection rules
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# MCP Server Coordination
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auto_flags: [] # Automatic flag activation
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mcp_servers:
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primary: "string" # Primary MCP server
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secondary: [] # Fallback servers
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# Intelligence Configuration
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patterns: {} # Project structure patterns
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intelligence: {} # Mode triggers and validation
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performance_targets: {} # Benchmarks and cache settings
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patterns:
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file_structure: [] # Expected project files/dirs
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common_tasks: [] # Typical operations
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intelligence:
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mode_triggers: [] # Mode activation conditions
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validation_focus: [] # Quality validation priorities
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performance_targets:
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bootstrap_ms: number # Bootstrap time target
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context_size: "string" # Context footprint target
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cache_duration: "string" # Cache retention time
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```
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### Detection Pattern Optimization
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### Detection Rules
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Detection patterns use efficient rule-based matching:
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Detection patterns identify projects through:
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- **File Extensions**: Look for specific file types (`.py`, `.jsx`, etc.)
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- **Dependency Files**: Check for `package.json`, `requirements.txt`, `pyproject.toml`
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- **Directory Structure**: Verify expected directories exist
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- **Configuration Files**: Detect framework-specific config files
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## Current Minimal Patterns
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### Python Project Pattern (`python_project.yaml`)
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This is the actual pattern file for Python projects:
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```yaml
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detection_optimization:
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file_extension_matching:
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- strategy: "glob_patterns"
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- performance: "O(1) hash lookup"
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- examples: ["*.py", "*.jsx", "*.tsx"]
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directory_structure_detection:
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- strategy: "existence_checks"
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- performance: "single_filesystem_stat"
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- examples: ["src/", "tests/", "node_modules/"]
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dependency_manifest_parsing:
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- strategy: "key_extraction"
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- performance: "minimal_file_reading"
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- examples: ["package.json", "requirements.txt", "pyproject.toml"]
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```
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## Project Type Patterns
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### Python Project Pattern
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```yaml
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# /patterns/minimal/python_project.yaml
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project_type: "python"
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detection_patterns:
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- "*.py files present"
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@@ -85,8 +59,8 @@ detection_patterns:
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- "__pycache__/ directories"
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auto_flags:
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- "--serena" # Semantic analysis for Python
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- "--context7" # Python documentation lookup
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- "--serena" # Semantic analysis
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- "--context7" # Python documentation
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mcp_servers:
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primary: "serena"
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@@ -94,13 +68,13 @@ mcp_servers:
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patterns:
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file_structure:
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- "src/ or lib/" # Source code organization
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- "tests/" # Testing directory
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- "docs/" # Documentation
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- "requirements.txt" # Dependencies
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- "src/ or lib/"
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- "tests/"
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- "docs/"
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- "requirements.txt"
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common_tasks:
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- "function refactoring" # Python-specific operations
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- "function refactoring"
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- "class extraction"
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- "import optimization"
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- "testing setup"
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@@ -117,21 +91,16 @@ intelligence:
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- "testing_coverage"
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performance_targets:
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bootstrap_ms: 40 # 40ms bootstrap target
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context_size: "4KB" # Minimal context footprint
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cache_duration: "45min" # Optimal cache retention
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bootstrap_ms: 40
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context_size: "4KB"
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cache_duration: "45min"
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```
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**Performance Analysis**:
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- **Detection Time**: 15ms (file system scan + pattern matching)
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- **MCP Activation**: 20ms (serena primary, context7 secondary)
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- **Flag Processing**: 5ms (--serena, --context7 auto-activation)
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- **Total Bootstrap**: **40ms average**
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This pattern automatically activates Serena (for semantic analysis) and Context7 (for Python documentation) when Python projects are detected.
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### React Project Pattern
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### React Project Pattern (`react_project.yaml`)
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```yaml
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# /patterns/minimal/react_project.yaml
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project_type: "react"
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detection_patterns:
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- "package.json with react dependency"
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@@ -148,13 +117,13 @@ mcp_servers:
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patterns:
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file_structure:
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- "src/components/" # Component organization
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- "src/hooks/" # Custom hooks
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- "src/pages/" # Page components
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- "src/utils/" # Utility functions
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- "src/components/"
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- "src/hooks/"
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- "src/pages/"
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- "src/utils/"
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common_tasks:
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- "component creation" # React-specific operations
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- "component creation"
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- "state management"
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- "routing setup"
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- "performance optimization"
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@@ -171,431 +140,86 @@ intelligence:
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- "performance"
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performance_targets:
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bootstrap_ms: 30 # 30ms bootstrap target (faster than Python)
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context_size: "3KB" # Smaller context (focused on UI)
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cache_duration: "60min" # Longer cache (stable patterns)
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bootstrap_ms: 30
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context_size: "3KB"
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cache_duration: "60min"
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```
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**Performance Analysis**:
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- **Detection Time**: 12ms (package.json parsing optimized)
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- **MCP Activation**: 15ms (magic primary, lighter secondary)
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- **Flag Processing**: 3ms (--magic, --context7 activation)
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- **Total Bootstrap**: **30ms average**
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This pattern activates Magic (for UI component generation) and Context7 (for React documentation) when React projects are detected.
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## Advanced Minimal Patterns
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## Creating New Minimal Patterns
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### Node.js Backend Pattern
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### Pattern Creation Process
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1. **Identify Project Type**: Determine unique characteristics of the project type
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2. **Define Detection Rules**: Create file/directory patterns for identification
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3. **Select MCP Servers**: Choose primary and secondary servers for the project type
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4. **Configure Auto-Flags**: Set flags that should activate automatically
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5. **Define Intelligence**: Specify mode triggers and validation focus
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6. **Set Performance Targets**: Define bootstrap time and context size goals
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### Pattern Template
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```yaml
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project_type: "node_backend"
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project_type: "your_project_type"
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detection_patterns:
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- "package.json with express|fastify|koa"
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- "server.js or app.js or index.js"
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- "routes/ or controllers/ directories"
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- "unique file or directory patterns"
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- "dependency or configuration files"
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- "framework-specific indicators"
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auto_flags:
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- "--serena" # Code analysis
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- "--context7" # Node.js documentation
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- "--sequential" # API design analysis
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- "--primary_server"
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- "--supporting_server"
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mcp_servers:
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primary: "serena"
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secondary: ["context7", "sequential"]
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primary: "most_relevant_server"
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secondary: ["fallback", "servers"]
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patterns:
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file_structure:
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- "routes/ or controllers/"
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- "middleware/"
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- "models/ or schemas/"
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- "__tests__/ or test/"
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- "expected/directories/"
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- "important files"
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common_tasks:
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- "API endpoint creation"
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- "middleware implementation"
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- "database integration"
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- "authentication setup"
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- "typical operations"
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- "common workflows"
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intelligence:
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mode_triggers:
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- "task_management: api|endpoint|server"
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- "token_efficiency: context >70%"
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- "mode_name: trigger_conditions"
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validation_focus:
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- "javascript_syntax"
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- "api_patterns"
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- "security_practices"
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- "error_handling"
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- "syntax_validation"
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- "best_practices"
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- "quality_checks"
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performance_targets:
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bootstrap_ms: 35
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context_size: "4.5KB"
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cache_duration: "50min"
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```
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### Vue.js Project Pattern
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```yaml
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project_type: "vue"
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detection_patterns:
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- "package.json with vue dependency"
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- "src/ directory with .vue files"
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- "vue.config.js or vite.config.js"
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auto_flags:
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- "--magic" # Vue component generation
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- "--context7" # Vue documentation
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mcp_servers:
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primary: "magic"
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secondary: ["context7", "morphllm"]
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patterns:
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file_structure:
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- "src/components/"
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- "src/views/"
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- "src/composables/"
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- "src/stores/"
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common_tasks:
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- "component development"
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- "composable creation"
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- "store management"
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- "routing configuration"
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intelligence:
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mode_triggers:
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- "task_management: component|view|composable"
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- "token_efficiency: context >75%"
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validation_focus:
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- "vue_syntax"
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- "composition_api"
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- "reactivity_patterns"
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- "performance"
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performance_targets:
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bootstrap_ms: 32
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context_size: "3.2KB"
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cache_duration: "55min"
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```
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## Detection Algorithm Optimization
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### File System Scanning Strategy
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```yaml
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scanning_optimization:
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directory_traversal:
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strategy: "breadth_first_limited"
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max_depth: 3
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skip_patterns: [".git", "node_modules", "__pycache__", ".next"]
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file_pattern_matching:
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strategy: "compiled_regex_cache"
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pattern_compilation: "startup_time"
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match_performance: "O(1) average"
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manifest_file_parsing:
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strategy: "streaming_key_extraction"
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parse_limit: "first_100_lines"
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key_extraction: "dependency_section_only"
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```
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### Caching Strategy
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```yaml
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caching_architecture:
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pattern_cache:
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key_format: "{project_path}:{mtime_hash}"
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storage: "in_memory_lru"
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capacity: "100_patterns"
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eviction: "least_recently_used"
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detection_cache:
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key_format: "{directory_hash}:{pattern_type}"
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ttl: "45_minutes"
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invalidation: "file_system_change_detection"
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mcp_activation_cache:
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key_format: "{project_type}:{mcp_servers}"
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ttl: "session_duration"
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warming: "predictive_loading"
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```
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## Performance Benchmarking
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### Bootstrap Time Targets
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| Project Type | Target (ms) | Achieved (ms) | Improvement |
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|--------------|-------------|---------------|-------------|
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| **Python** | 40 | 38 ± 3 | 5% better |
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| **React** | 30 | 28 ± 2 | 7% better |
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| **Node.js** | 35 | 33 ± 2 | 6% better |
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| **Vue.js** | 32 | 30 ± 2 | 6% better |
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### Context Size Analysis
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| Project Type | Target Size | Actual Size | Efficiency |
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|--------------|-------------|-------------|------------|
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| **Python** | 4KB | 3.8KB | 95% efficiency |
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| **React** | 3KB | 2.9KB | 97% efficiency |
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| **Node.js** | 4.5KB | 4.2KB | 93% efficiency |
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| **Vue.js** | 3.2KB | 3.1KB | 97% efficiency |
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### Cache Performance
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```yaml
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cache_metrics:
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hit_rate: 96.3% # Excellent cache utilization
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miss_penalty: 45ms # Full pattern load time
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memory_usage: 2.1MB # Minimal memory footprint
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eviction_rate: 0.8% # Very stable cache
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```
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## Integration with Hook System
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### Session Start Hook Integration
|
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|
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```python
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# Conceptual integration - actual implementation in hooks
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def on_session_start(context):
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"""Minimal pattern loading during session initialization"""
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# 1. Rapid project detection (10-15ms)
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project_type = detect_project_type(context.project_path)
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# 2. Pattern loading (15-25ms)
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pattern = load_minimal_pattern(project_type)
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# 3. MCP server activation (10-20ms)
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activate_mcp_servers(pattern.mcp_servers)
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# 4. Auto-flag processing (3-5ms)
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process_auto_flags(pattern.auto_flags)
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# Total: 38-65ms (target: <50ms)
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return bootstrap_context
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```
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|
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### Performance Monitoring
|
||||
|
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```yaml
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monitoring_integration:
|
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bootstrap_timing:
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measurement: "per_pattern_load"
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alert_threshold: ">60ms"
|
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optimization_trigger: ">50ms_average"
|
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|
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cache_efficiency:
|
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measurement: "hit_rate_tracking"
|
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alert_threshold: "<90%"
|
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optimization_trigger: "<95%_efficiency"
|
||||
|
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memory_usage:
|
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measurement: "pattern_memory_footprint"
|
||||
alert_threshold: ">10KB_per_pattern"
|
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optimization_trigger: ">5KB_average"
|
||||
```
|
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|
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## Quality Validation
|
||||
|
||||
### Pattern Validation Framework
|
||||
|
||||
```yaml
|
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validation_rules:
|
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schema_compliance:
|
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- required_fields: ["project_type", "detection_patterns", "auto_flags"]
|
||||
- size_limits: ["<5KB total", "<100 detection_patterns"]
|
||||
- performance_requirements: ["<50ms bootstrap", ">98% accuracy"]
|
||||
|
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detection_accuracy:
|
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- true_positive_rate: ">98%"
|
||||
- false_positive_rate: "<2%"
|
||||
- edge_case_handling: "graceful_fallback"
|
||||
|
||||
mcp_coordination:
|
||||
- server_availability: "fallback_strategies"
|
||||
- activation_timing: "<20ms target"
|
||||
- flag_processing: "error_handling"
|
||||
```
|
||||
|
||||
### Testing Framework
|
||||
|
||||
```yaml
|
||||
testing_strategy:
|
||||
unit_tests:
|
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- pattern_loading: "isolated_testing"
|
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- detection_logic: "comprehensive_scenarios"
|
||||
- mcp_coordination: "mock_server_testing"
|
||||
|
||||
integration_tests:
|
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- full_bootstrap: "end_to_end_timing"
|
||||
- hook_integration: "session_lifecycle"
|
||||
- cache_behavior: "multi_session_testing"
|
||||
|
||||
performance_tests:
|
||||
- bootstrap_benchmarking: "statistical_analysis"
|
||||
- memory_profiling: "resource_usage"
|
||||
- cache_efficiency: "hit_rate_validation"
|
||||
bootstrap_ms: target_milliseconds
|
||||
context_size: "target_size"
|
||||
cache_duration: "cache_time"
|
||||
```
|
||||
|
||||
## Best Practices
|
||||
|
||||
### Pattern Creation Guidelines
|
||||
### Detection Pattern Guidelines
|
||||
|
||||
1. **Minimalism First**: Keep patterns under 5KB, focus on essential detection
|
||||
2. **Performance Optimization**: Optimize for <50ms bootstrap times
|
||||
3. **Accurate Detection**: Maintain >98% detection accuracy
|
||||
4. **Smart Caching**: Design for 45-60 minute cache duration
|
||||
5. **Fallback Strategies**: Handle edge cases gracefully
|
||||
1. **Use Specific Identifiers**: Look for unique files or dependency patterns
|
||||
2. **Multiple Signals**: Combine file extensions, directories, and config files
|
||||
3. **Avoid Generic Patterns**: Don't rely on common files like `README.md`
|
||||
4. **Test Edge Cases**: Handle missing files or permission errors gracefully
|
||||
|
||||
### Detection Pattern Design
|
||||
### MCP Server Selection
|
||||
|
||||
```yaml
|
||||
detection_best_practices:
|
||||
specificity:
|
||||
- use_unique_identifiers: "package.json keys, manifest files"
|
||||
- avoid_generic_patterns: "*.txt, common directory names"
|
||||
- combine_multiple_signals: "file + directory + manifest"
|
||||
|
||||
performance:
|
||||
- optimize_filesystem_access: "minimize stat() calls"
|
||||
- cache_compiled_patterns: "regex compilation at startup"
|
||||
- fail_fast_on_mismatch: "early_exit_strategies"
|
||||
|
||||
reliability:
|
||||
- handle_edge_cases: "missing files, permission errors"
|
||||
- graceful_degradation: "partial_detection_acceptance"
|
||||
- version_compatibility: "framework_version_tolerance"
|
||||
```
|
||||
1. **Primary Server**: Choose the most relevant MCP server for the project type
|
||||
2. **Secondary Servers**: Add complementary servers as fallbacks
|
||||
3. **Auto-Flags**: Set flags that provide immediate value for the project type
|
||||
4. **Performance Targets**: Set realistic bootstrap and context size goals
|
||||
|
||||
### MCP Server Coordination
|
||||
## Integration Notes
|
||||
|
||||
```yaml
|
||||
mcp_coordination_best_practices:
|
||||
server_selection:
|
||||
- primary_server: "most_relevant_for_project_type"
|
||||
- secondary_servers: "complementary_capabilities"
|
||||
- fallback_chain: "graceful_degradation_order"
|
||||
|
||||
activation_timing:
|
||||
- lazy_loading: "activate_on_first_use"
|
||||
- parallel_activation: "concurrent_server_startup"
|
||||
- health_checking: "server_availability_validation"
|
||||
|
||||
resource_management:
|
||||
- memory_efficiency: "minimal_server_footprint"
|
||||
- connection_pooling: "reuse_server_connections"
|
||||
- cleanup_procedures: "proper_server_shutdown"
|
||||
```
|
||||
Minimal patterns integrate with Framework-Hooks through:
|
||||
|
||||
## Troubleshooting
|
||||
- **session_start hook**: Loads and applies patterns during initialization
|
||||
- **Project detection**: Scans files and directories to identify project type
|
||||
- **MCP activation**: Automatically starts relevant MCP servers
|
||||
- **Flag processing**: Sets auto-flags for immediate feature activation
|
||||
|
||||
### Common Issues
|
||||
|
||||
#### 1. Slow Bootstrap Times
|
||||
**Symptoms**: Bootstrap >60ms consistently
|
||||
**Diagnosis**:
|
||||
- Check file system performance
|
||||
- Analyze detection pattern complexity
|
||||
- Monitor cache hit rates
|
||||
|
||||
**Solutions**:
|
||||
- Optimize detection patterns for early exit
|
||||
- Improve caching strategy
|
||||
- Reduce file system access
|
||||
|
||||
#### 2. Detection Accuracy Issues
|
||||
**Symptoms**: Wrong project type detection
|
||||
**Diagnosis**:
|
||||
- Review detection pattern specificity
|
||||
- Check for conflicting patterns
|
||||
- Analyze edge case scenarios
|
||||
|
||||
**Solutions**:
|
||||
- Add more specific detection criteria
|
||||
- Implement confidence scoring
|
||||
- Improve fallback strategies
|
||||
|
||||
#### 3. Cache Inefficiency
|
||||
**Symptoms**: Low cache hit rates <90%
|
||||
**Diagnosis**:
|
||||
- Monitor cache key generation
|
||||
- Check cache eviction patterns
|
||||
- Analyze pattern modification frequency
|
||||
|
||||
**Solutions**:
|
||||
- Optimize cache key strategies
|
||||
- Adjust cache duration
|
||||
- Implement intelligent cache warming
|
||||
|
||||
### Debugging Tools
|
||||
|
||||
```yaml
|
||||
debugging_capabilities:
|
||||
bootstrap_profiling:
|
||||
- timing_breakdown: "per_phase_analysis"
|
||||
- bottleneck_identification: "critical_path_analysis"
|
||||
- resource_usage: "memory_and_cpu_tracking"
|
||||
|
||||
pattern_validation:
|
||||
- detection_testing: "project_type_accuracy"
|
||||
- schema_validation: "structure_compliance"
|
||||
- performance_testing: "benchmark_validation"
|
||||
|
||||
cache_analysis:
|
||||
- hit_rate_monitoring: "efficiency_tracking"
|
||||
- eviction_analysis: "pattern_usage_analysis"
|
||||
- memory_usage: "footprint_optimization"
|
||||
```
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
### Planned Optimizations
|
||||
|
||||
#### 1. Sub-40ms Bootstrap
|
||||
- **Target**: <25ms for all project types
|
||||
- **Strategy**: Predictive pattern loading and parallel processing
|
||||
- **Implementation**: Pre-warm cache based on workspace analysis
|
||||
|
||||
#### 2. Intelligent Pattern Selection
|
||||
- **Target**: >99% detection accuracy
|
||||
- **Strategy**: Machine learning-based pattern refinement
|
||||
- **Implementation**: Feedback loop from user corrections
|
||||
|
||||
#### 3. Dynamic Pattern Generation
|
||||
- **Target**: Auto-generated patterns for custom project types
|
||||
- **Strategy**: Analyze project structure and generate detection rules
|
||||
- **Implementation**: Pattern synthesis from successful detections
|
||||
|
||||
### Scalability Improvements
|
||||
|
||||
```yaml
|
||||
scalability_roadmap:
|
||||
pattern_library_expansion:
|
||||
- target_languages: ["rust", "go", "swift", "kotlin"]
|
||||
- framework_support: ["nextjs", "nuxt", "django", "rails"]
|
||||
- deployment_patterns: ["docker", "kubernetes", "serverless"]
|
||||
|
||||
performance_optimization:
|
||||
- sub_25ms_bootstrap: "parallel_processing_optimization"
|
||||
- predictive_loading: "workspace_analysis_based"
|
||||
- adaptive_caching: "ml_driven_cache_strategies"
|
||||
|
||||
intelligence_enhancement:
|
||||
- pattern_synthesis: "automatic_pattern_generation"
|
||||
- confidence_scoring: "probabilistic_detection"
|
||||
- learning_integration: "continuous_improvement"
|
||||
```
|
||||
|
||||
## Conclusion
|
||||
|
||||
Minimal Patterns represent the foundation of SuperClaude's performance revolution, achieving unprecedented bootstrap speeds while maintaining high accuracy and intelligent automation. Through careful optimization of detection algorithms, caching strategies, and MCP server coordination, these patterns enable:
|
||||
|
||||
- **Ultra-Fast Bootstrap**: 30-40ms initialization times
|
||||
- **Minimal Resource Usage**: 3-5KB context footprints
|
||||
- **High Accuracy**: >98% project type detection
|
||||
- **Intelligent Automation**: Smart MCP server activation and auto-flagging
|
||||
- **Scalable Architecture**: Foundation for dynamic and learned pattern evolution
|
||||
|
||||
The system continues to evolve with planned enhancements targeting sub-25ms bootstrap times and >99% detection accuracy through machine learning integration and predictive optimization strategies.
|
||||
The pattern system provides a declarative way to configure Framework-Hooks behavior for different project types without requiring code changes.
|
||||
Reference in New Issue
Block a user