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gravl/.claude/commands/optimization/parallel-execution.md
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clawd d81e403f01 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
2026-03-06 20:54:03 +01:00

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1.2 KiB
Markdown

# Parallel Task Execution
## Purpose
Execute independent subtasks in parallel for maximum efficiency.
## Coordination Strategy
### 1. Task Decomposition
```
Tool: mcp__claude-flow__task_orchestrate
Parameters: {
"task": "Build complete REST API with auth, CRUD operations, and tests",
"strategy": "parallel",
"maxAgents": 8
}
```
### 2. Parallel Workflows
The system automatically:
- Identifies independent components
- Assigns specialized agents
- Executes in parallel where possible
- Synchronizes at dependency points
### 3. Example Breakdown
For the REST API task:
- **Agent 1 (Architect)**: Design API structure
- **Agent 2-3 (Coders)**: Implement auth & CRUD in parallel
- **Agent 4 (Tester)**: Write tests as features complete
- **Agent 5 (Documenter)**: Update docs continuously
## CLI Usage
```bash
# Execute parallel tasks via CLI
npx claude-flow parallel "Build REST API" --max-agents 8
```
## Performance Gains
- 🚀 2.8-4.4x faster execution
- 💪 Optimal CPU utilization
- 🔄 Automatic load balancing
- 📈 Linear scalability with agents
## Monitoring
```
Tool: mcp__claude-flow__swarm_monitor
Parameters: {"interval": 1000, "swarmId": "current"}
```
Watch real-time parallel execution progress!