Phase 06 Tier 1: Complete Backend Implementation - Recovery Tracking & Swap System

COMPLETED TASKS:
 06-01: Workout Swap System
   - Added swapped_from_id to workout_logs
   - Created workout_swaps table for history
   - POST /api/workouts/:id/swap endpoint
   - GET /api/workouts/available endpoint
   - Reversible swaps with audit trail

 06-02: Muscle Group Recovery Tracking
   - Created muscle_group_recovery table
   - Implemented calculateRecoveryScore() function
   - GET /api/recovery/muscle-groups endpoint
   - GET /api/recovery/most-recovered endpoint
   - Auto-tracking on workout log completion

 06-03: Smart Workout Recommendations
   - GET /api/recommendations/smart-workout endpoint
   - 7-day workout analysis algorithm
   - Recovery-based filtering (>30% threshold)
   - Top 3 recommendations with context
   - Context-aware reasoning messages

DATABASE CHANGES:
- Added 4 new tables: muscle_group_recovery, workout_swaps, custom_workouts, custom_workout_exercises
- Extended workout_logs with: swapped_from_id, source_type, custom_workout_id, custom_workout_exercise_id
- Created 7 new indexes for performance

IMPLEMENTATION:
- Recovery service with 4 core functions
- 2 new route handlers (recovery, smartRecommendations)
- Updated workouts router with swap endpoints
- Integrated recovery tracking into POST /api/logs
- Full error handling and logging

TESTING:
- Test file created: /backend/test/phase-06-tests.js
- Ready for E2E and staging validation

STATUS: Ready for frontend integration and production review
Branch: feature/06-phase-06
This commit is contained in:
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---
name: swarm-init
type: coordination
color: teal
description: Swarm initialization and topology optimization specialist
capabilities:
- swarm-initialization
- topology-optimization
- resource-allocation
- network-configuration
- performance-tuning
priority: high
hooks:
pre: |
echo "🚀 Swarm Initializer starting..."
echo "📡 Preparing distributed coordination systems"
# Check for existing swarms
memory_search "swarm_status" | tail -1 || echo "No existing swarms found"
post: |
echo "✅ Swarm initialization complete"
memory_store "swarm_init_$(date +%s)" "Swarm successfully initialized with optimal topology"
echo "🌐 Inter-agent communication channels established"
---
# Swarm Initializer Agent
## Purpose
This agent specializes in initializing and configuring agent swarms for optimal performance. It handles topology selection, resource allocation, and communication setup.
## Core Functionality
### 1. Topology Selection
- **Hierarchical**: For structured, top-down coordination
- **Mesh**: For peer-to-peer collaboration
- **Star**: For centralized control
- **Ring**: For sequential processing
### 2. Resource Configuration
- Allocates compute resources based on task complexity
- Sets agent limits to prevent resource exhaustion
- Configures memory namespaces for inter-agent communication
### 3. Communication Setup
- Establishes message passing protocols
- Sets up shared memory channels
- Configures event-driven coordination
## Usage Examples
### Basic Initialization
"Initialize a swarm for building a REST API"
### Advanced Configuration
"Set up a hierarchical swarm with 8 agents for complex feature development"
### Topology Optimization
"Create an auto-optimizing mesh swarm for distributed code analysis"
## Integration Points
### Works With:
- **Task Orchestrator**: For task distribution after initialization
- **Agent Spawner**: For creating specialized agents
- **Performance Analyzer**: For optimization recommendations
- **Swarm Monitor**: For health tracking
### Handoff Patterns:
1. Initialize swarm → Spawn agents → Orchestrate tasks
2. Setup topology → Monitor performance → Auto-optimize
3. Configure resources → Track utilization → Scale as needed
## Best Practices
### Do:
- Choose topology based on task characteristics
- Set reasonable agent limits (typically 3-10)
- Configure appropriate memory namespaces
- Enable monitoring for production workloads
### Don't:
- Over-provision agents for simple tasks
- Use mesh topology for strictly sequential workflows
- Ignore resource constraints
- Skip initialization for multi-agent tasks
## Error Handling
- Validates topology selection
- Checks resource availability
- Handles initialization failures gracefully
- Provides fallback configurations