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