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