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
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# bottleneck detect
Analyze performance bottlenecks in swarm operations and suggest optimizations.
## Usage
```bash
npx claude-flow bottleneck detect [options]
```
## Options
- `--swarm-id, -s <id>` - Analyze specific swarm (default: current)
- `--time-range, -t <range>` - Analysis period: 1h, 24h, 7d, all (default: 1h)
- `--threshold <percent>` - Bottleneck threshold percentage (default: 20)
- `--export, -e <file>` - Export analysis to file
- `--fix` - Apply automatic optimizations
## Examples
### Basic bottleneck detection
```bash
npx claude-flow bottleneck detect
```
### Analyze specific swarm
```bash
npx claude-flow bottleneck detect --swarm-id swarm-123
```
### Last 24 hours with export
```bash
npx claude-flow bottleneck detect -t 24h -e bottlenecks.json
```
### Auto-fix detected issues
```bash
npx claude-flow bottleneck detect --fix --threshold 15
```
## Metrics Analyzed
### Communication Bottlenecks
- Message queue delays
- Agent response times
- Coordination overhead
- Memory access patterns
### Processing Bottlenecks
- Task completion times
- Agent utilization rates
- Parallel execution efficiency
- Resource contention
### Memory Bottlenecks
- Cache hit rates
- Memory access patterns
- Storage I/O performance
- Neural pattern loading
### Network Bottlenecks
- API call latency
- MCP communication delays
- External service timeouts
- Concurrent request limits
## Output Format
```
🔍 Bottleneck Analysis Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Summary
├── Time Range: Last 1 hour
├── Agents Analyzed: 6
├── Tasks Processed: 42
└── Critical Issues: 2
🚨 Critical Bottlenecks
1. Agent Communication (35% impact)
└── coordinator → coder-1 messages delayed by 2.3s avg
2. Memory Access (28% impact)
└── Neural pattern loading taking 1.8s per access
⚠️ Warning Bottlenecks
1. Task Queue (18% impact)
└── 5 tasks waiting > 10s for assignment
💡 Recommendations
1. Switch to hierarchical topology (est. 40% improvement)
2. Enable memory caching (est. 25% improvement)
3. Increase agent concurrency to 8 (est. 20% improvement)
✅ Quick Fixes Available
Run with --fix to apply:
- Enable smart caching
- Optimize message routing
- Adjust agent priorities
```
## Automatic Fixes
When using `--fix`, the following optimizations may be applied:
1. **Topology Optimization**
- Switch to more efficient topology
- Adjust communication patterns
- Reduce coordination overhead
2. **Caching Enhancement**
- Enable memory caching
- Optimize cache strategies
- Preload common patterns
3. **Concurrency Tuning**
- Adjust agent counts
- Optimize parallel execution
- Balance workload distribution
4. **Priority Adjustment**
- Reorder task queues
- Prioritize critical paths
- Reduce wait times
## Performance Impact
Typical improvements after bottleneck resolution:
- **Communication**: 30-50% faster message delivery
- **Processing**: 20-40% reduced task completion time
- **Memory**: 40-60% fewer cache misses
- **Overall**: 25-45% performance improvement
## Integration with Claude Code
```javascript
// Check for bottlenecks in Claude Code
mcp__claude-flow__bottleneck_detect {
timeRange: "1h",
threshold: 20,
autoFix: false
}
```
## See Also
- `performance report` - Detailed performance analysis
- `token usage` - Token optimization analysis
- `swarm monitor` - Real-time monitoring
- `cache manage` - Cache optimization