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# Automatic Topology Selection
## Purpose
Automatically select the optimal swarm topology based on task complexity analysis.
## How It Works
### 1. Task Analysis
The system analyzes your task description to determine:
- Complexity level (simple/medium/complex)
- Required agent types
- Estimated duration
- Resource requirements
### 2. Topology Selection
Based on analysis, it selects:
- **Star**: For simple, centralized tasks
- **Mesh**: For medium complexity with flexibility needs
- **Hierarchical**: For complex tasks requiring structure
- **Ring**: For sequential processing workflows
### 3. Example Usage
**Simple Task:**
```
Tool: mcp__claude-flow__task_orchestrate
Parameters: {"task": "Fix typo in README.md"}
Result: Automatically uses star topology with single agent
```
**Complex Task:**
```
Tool: mcp__claude-flow__task_orchestrate
Parameters: {"task": "Refactor authentication system with JWT, add tests, update documentation"}
Result: Automatically uses hierarchical topology with architect, coder, and tester agents
```
## Benefits
- 🎯 Optimal performance for each task type
- 🤖 Automatic agent assignment
- ⚡ Reduced setup time
- 📊 Better resource utilization
## Hook Configuration
The pre-task hook automatically handles topology selection:
```json
{
"command": "npx claude-flow hook pre-task --optimize-topology"
}
```
## Direct Optimization
```
Tool: mcp__claude-flow__topology_optimize
Parameters: {"swarmId": "current"}
```
## CLI Usage
```bash
# Auto-optimize topology via CLI
npx claude-flow optimize topology
```
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# 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!