claudegoodies
Command

optimization

From ruvnet

Performance optimization through specialized analysis.

Install

/optimization

Facts

Repository
ruvnet/ruflo
Status
Actively maintained
Last commit
Source file
.claude/commands/swarm/optimization.md

Source preview

The instructions Claude Code reads when this command runs.

# Optimization Swarm Strategy

## Purpose
Performance optimization through specialized analysis.

## Activation

### Using MCP Tools
```javascript
// Initialize optimization swarm
mcp__claude-flow__swarm_init({
  "topology": "mesh",
  "maxAgents": 6,
  "strategy": "adaptive"
})

// Orchestrate optimization task
mcp__claude-flow__task_orchestrate({
  "task": "optimize performance",
  "strategy": "parallel",
  "priority": "high"
})
```

### Using CLI (Fallback)
`npx claude-flow swarm "optimize performance" --strategy optimization`

## Agent Roles

### Agent Spawning with MCP
```javascript
// Spawn optimization agents
mcp__claude-flow__agent_spawn({
  "type": "optimizer",
  "name": "Performance Profiler",
  "capabilities": ["profiling", "bottleneck-detection"]
})

mcp__claude-flow__agent_spawn({
  "type": "analyst",
  "name": "Memory Analyzer",
  "capabilities": ["memory-analysis", "leak-detection"]
})

mcp__claude-flow__agent_spawn({
  "type": "optimizer",
  "name": "Code Optimizer",
  "capabilities": ["code-optimization", "refactoring"]
})

mcp__claude-flow__agent_spawn({
  "type": "tester",
  "name": "Benchmark Runner",
  "capabilities": ["benchmarking", "performance-testing"]
})
```

## Optimization Areas

### Performance Analysis
```javascript
// Analyze bottlenecks
mcp__claude-flow__bottleneck_analyze({
  "component": "all",
  "metrics": ["cpu", "memory", "io", "network"]
})
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