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

.claude/commands/automation/auto-agent.md

@@ -0,0 +1,122 @@
+# auto agent
+
+Automatically spawn and manage agents based on task requirements.
+
+## Usage
+
+```bash
+npx claude-flow auto agent [options]
+```
+
+## Options
+
+- `--task, -t <description>` - Task description for agent analysis
+- `--max-agents, -m <number>` - Maximum agents to spawn (default: auto)
+- `--min-agents <number>` - Minimum agents required (default: 1)
+- `--strategy, -s <type>` - Selection strategy: optimal, minimal, balanced
+- `--no-spawn` - Analyze only, don't spawn agents
+
+## Examples
+
+### Basic auto-spawning
+
+```bash
+npx claude-flow auto agent --task "Build a REST API with authentication"
+```
+
+### Constrained spawning
+
+```bash
+npx claude-flow auto agent -t "Debug performance issue" --max-agents 3
+```
+
+### Analysis only
+
+```bash
+npx claude-flow auto agent -t "Refactor codebase" --no-spawn
+```
+
+### Minimal strategy
+
+```bash
+npx claude-flow auto agent -t "Fix bug in login" -s minimal
+```
+
+## How It Works
+
+1. **Task Analysis**
+
+   - Parses task description
+   - Identifies required skills
+   - Estimates complexity
+   - Determines parallelization opportunities
+
+2. **Agent Selection**
+
+   - Matches skills to agent types
+   - Considers task dependencies
+   - Optimizes for efficiency
+   - Respects constraints
+
+3. **Topology Selection**
+
+   - Chooses optimal swarm structure
+   - Configures communication patterns
+   - Sets up coordination rules
+   - Enables monitoring
+
+4. **Automatic Spawning**
+   - Creates selected agents
+   - Assigns specific roles
+   - Distributes subtasks
+   - Initiates coordination
+
+## Agent Types Selected
+
+- **Architect**: System design, architecture decisions
+- **Coder**: Implementation, code generation
+- **Tester**: Test creation, quality assurance
+- **Analyst**: Performance, optimization
+- **Researcher**: Documentation, best practices
+- **Coordinator**: Task management, progress tracking
+
+## Strategies
+
+### Optimal
+
+- Maximum efficiency
+- May spawn more agents
+- Best for complex tasks
+- Highest resource usage
+
+### Minimal
+
+- Minimum viable agents
+- Conservative approach
+- Good for simple tasks
+- Lowest resource usage
+
+### Balanced
+
+- Middle ground
+- Adaptive to complexity
+- Default strategy
+- Good performance/resource ratio
+
+## Integration with Claude Code
+
+```javascript
+// In Claude Code after auto-spawning
+mcp__claude-flow__auto_agent {
+  task: "Build authentication system",
+  strategy: "balanced",
+  maxAgents: 6
+}
+```
+
+## See Also
+
+- `agent spawn` - Manual agent creation
+- `swarm init` - Initialize swarm manually
+- `smart spawn` - Intelligent agent spawning
+- `workflow select` - Choose predefined workflows