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gravl/.claude/commands/monitoring/status.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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Markdown

# Check Coordination Status
## 🎯 Key Principle
**This tool coordinates Claude Code's actions. It does NOT write code or create content.**
## MCP Tool Usage in Claude Code
**Tool:** `mcp__claude-flow__swarm_status`
## Parameters
```json
{
"swarmId": "current"
}
```
## Description
Monitor the effectiveness of current coordination patterns
## Details
Shows:
- Active coordination topologies
- Current cognitive patterns in use
- Task breakdown and progress
- Resource utilization for coordination
- Overall system health
## Example Usage
**In Claude Code:**
1. Check swarm status: Use tool `mcp__claude-flow__swarm_status`
2. Monitor in real-time: Use tool `mcp__claude-flow__swarm_monitor` with parameters `{"interval": 1000}`
3. Get agent metrics: Use tool `mcp__claude-flow__agent_metrics` with parameters `{"agentId": "agent-123"}`
4. Health check: Use tool `mcp__claude-flow__health_check` with parameters `{"components": ["swarm", "memory", "neural"]}`
## Important Reminders
- ✅ This tool provides coordination and structure
- ✅ Claude Code performs all actual implementation
- ❌ The tool does NOT write code
- ❌ The tool does NOT access files directly
- ❌ The tool does NOT execute commands
## See Also
- Main documentation: /CLAUDE.md
- Other commands in this category
- Workflow examples in /workflows/