SuperClaude/Framework-Hooks/docs/Configuration/hook_coordination.yaml.md

Hook Coordination Configuration (hook_coordination.yaml)

Overview

The hook_coordination.yaml file configures intelligent hook execution patterns, dependency resolution, and optimization strategies for the SuperClaude-Lite framework. This configuration enables smart coordination of all Framework-Hooks lifecycle events.

Purpose and Role

This configuration provides:

• Execution Patterns: Parallel, sequential, and conditional execution strategies
• Dependency Resolution: Smart dependency management between hooks
• Performance Optimization: Resource management and caching strategies
• Error Handling: Resilient execution with graceful degradation
• Context Awareness: Adaptive execution based on operation context

Configuration Structure

1. Execution Patterns

Parallel Execution

parallel_execution:
  groups:
    - name: "independent_analysis"
      hooks: ["compression_engine", "pattern_detection"]
      max_parallel: 2
      timeout: 5000  # ms

Purpose: Run independent hooks simultaneously for performance Groups: Logical groupings of hooks that can execute in parallel Limits: Maximum concurrent hooks and timeout protection

Sequential Execution

sequential_execution:
  chains:
    - name: "session_lifecycle"
      sequence: ["session_start", "pre_tool_use", "post_tool_use", "stop"]
      mandatory: true
      break_on_error: true

Purpose: Enforce execution order for dependent operations Chains: Named sequences with defined order and error handling Control: Mandatory sequences with error breaking behavior

Conditional Execution

conditional_execution:
  rules:
    - hook: "compression_engine"
      conditions:
        - resource_usage: ">0.75"
        - conversation_length: ">50"
        - enable_compression: true
      priority: "high"

Purpose: Execute hooks based on runtime conditions Conditions: Logical rules for hook activation Priority: Execution priority for resource management

2. Dependency Resolution

Hook Dependencies

hook_dependencies:
  session_start:
    requires: []
    provides: ["session_context", "initial_state"]
  pre_tool_use:
    requires: ["session_context"]
    provides: ["tool_context", "pre_analysis"]
    depends_on: ["session_start"]

Dependencies: What each hook requires and provides Resolution: Automatic dependency chain calculation Optional: Soft dependencies that don't block execution

Resolution Strategies

resolution_strategies:
  missing_dependency:
    strategy: "graceful_degradation"
    fallback: "skip_optional"
  circular_dependency:
    strategy: "break_weakest_link"
    priority_order: ["session_start", "pre_tool_use", "post_tool_use", "stop"]

Graceful Degradation: Continue execution without non-critical dependencies Circular Resolution: Break cycles using priority ordering Timeout Handling: Continue execution when dependencies timeout

3. Performance Optimization

Execution Paths

fast_path:
  conditions:
    - complexity_score: "<0.3"
    - operation_type: ["simple", "basic"]
  optimizations:
    - skip_non_essential_hooks: true
    - enable_aggressive_caching: true
    - parallel_where_possible: true

Fast Path: Optimized execution for simple operations Comprehensive Path: Full analysis for complex operations Resource Budgets: CPU, memory, and time limits

Caching Strategies

cacheable_hooks:
  - hook: "pattern_detection"
    cache_key: ["session_context", "operation_type"]
    cache_duration: 300  # seconds

Hook Caching: Cache hook results to avoid recomputation Cache Keys: Contextual keys for cache invalidation TTL Management: Time-based cache expiration

4. Context Awareness

Operation Context

context_patterns:
  - context_type: "ui_development"
    hook_priorities: ["mcp_intelligence", "pattern_detection", "compression_engine"]
    preferred_execution: "fast_parallel"

Adaptive Execution: Adjust hook execution based on operation type Priority Ordering: Context-specific hook priority Execution Preference: Optimal execution strategy per context

User Preferences

preference_patterns:
  - user_type: "performance_focused"
    optimizations: ["aggressive_caching", "parallel_execution", "skip_optional"]

User Adaptation: Adapt to user preferences and patterns Performance Profiles: Optimize for speed, quality, or balance Learning Integration: Improve based on user behavior patterns

5. Error Handling and Recovery

Recovery Strategies

recovery_strategies:
  - error_type: "timeout"
    recovery: "continue_without_hook"
    log_level: "warning"
  - error_type: "critical_failure"
    recovery: "abort_and_cleanup"
    log_level: "error"

Error Types: Different failure modes with appropriate responses Recovery Actions: Continue, retry, degrade, or abort Logging: Appropriate log levels for different error types

Resilience Features

resilience_features:
  retry_failed_hooks: true
  max_retries: 2
  graceful_degradation: true
  error_isolation: true

Retry Logic: Automatic retry with backoff for transient failures Degradation: Continue with reduced functionality when possible Isolation: Prevent error cascade across hook execution

6. Lifecycle Management

State Tracking

state_tracking:
  - pending
  - initializing  
  - running
  - completed
  - failed
  - skipped
  - timeout

Hook States: Complete lifecycle state management Monitoring: Performance and health tracking Events: Before/after hook execution handling

7. Dynamic Configuration

Adaptive Execution

adaptation_triggers:
  - performance_degradation: ">20%"
    action: "switch_to_fast_path"
  - error_rate: ">10%"
    action: "enable_resilience_mode"

Performance Adaptation: Switch execution strategies based on performance Error Response: Enable resilience mode when error rates increase Resource Management: Reduce scope when resources are constrained

Configuration Guidelines

Performance Tuning

• Fast Path: Enable for simple operations to reduce overhead
• Parallel Groups: Group independent hooks for concurrent execution
• Caching: Cache expensive operations like pattern detection
• Resource Budgets: Set appropriate limits for your environment

Reliability Configuration

• Error Recovery: Configure appropriate recovery strategies
• Dependency Management: Use optional dependencies for non-critical hooks
• Resilience: Enable retry and graceful degradation features
• Monitoring: Track hook performance and health

Context Optimization

• Operation Types: Define context patterns for your common workflows
• User Preferences: Adapt to user performance vs quality preferences
• Learning: Enable learning features for continuous improvement

Integration Points

Hook Integration

• All Framework-Hooks use this coordination configuration
• Hook execution follows defined patterns and dependencies
• Performance targets integrated with hook implementations

Resource Management

• Coordinates with performance monitoring systems
• Integrates with caching and optimization frameworks
• Manages resource allocation across hook execution

Troubleshooting

Performance Issues

• Slow Execution: Check if comprehensive path is being used unnecessarily
• Resource Usage: Monitor CPU and memory budgets
• Caching: Verify cache hit rates for expensive operations

Execution Problems

• Missing Dependencies: Check dependency resolution strategies
• Hook Failures: Review error recovery configuration
• Timeout Issues: Adjust timeout values for your environment

Context Issues

• Wrong Path Selection: Review context pattern matching
• User Preferences: Check preference pattern configuration
• Adaptation: Monitor adaptation trigger effectiveness

Related Documentation

• Hook Implementation: Individual hook documentation for specific behavior
• Performance Configuration: performance.yaml.md for performance targets
• Error Handling: Framework error handling and logging configuration