d81e403f01
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
1.3 KiB
1.3 KiB
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
{
"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:
- Check swarm status: Use tool
mcp__claude-flow__swarm_status - Monitor in real-time: Use tool
mcp__claude-flow__swarm_monitorwith parameters{"interval": 1000} - Get agent metrics: Use tool
mcp__claude-flow__agent_metricswith parameters{"agentId": "agent-123"} - Health check: Use tool
mcp__claude-flow__health_checkwith 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/