claudegoodies
Command

analysis

From ruvnet

Comprehensive analysis through distributed agent coordination.

Install

/analysis

Facts

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

Source preview

The instructions Claude Code reads when this command runs.

# Analysis Swarm Strategy

## Purpose
Comprehensive analysis through distributed agent coordination.

## Activation

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

// Orchestrate analysis task
mcp__claude-flow__task_orchestrate({
  "task": "analyze system performance",
  "strategy": "parallel",
  "priority": "medium"
})
```

### Using CLI (Fallback)
`npx claude-flow swarm "analyze system performance" --strategy analysis`

## Agent Roles

### Agent Spawning with MCP
```javascript
// Spawn analysis agents
mcp__claude-flow__agent_spawn({
  "type": "analyst",
  "name": "Data Collector",
  "capabilities": ["metrics", "logging", "monitoring"]
})

mcp__claude-flow__agent_spawn({
  "type": "analyst",
  "name": "Pattern Analyzer",
  "capabilities": ["pattern-recognition", "anomaly-detection"]
})

mcp__claude-flow__agent_spawn({
  "type": "documenter",
  "name": "Report Generator",
  "capabilities": ["reporting", "visualization"]
})

mcp__claude-flow__agent_spawn({
  "type": "coordinator",
  "name": "Insight Synthesizer",
  "capabilities": ["synthesis", "correlation"]
})
```

## Coordination Modes
- Mesh: For exploratory analysis
- Pipeline: For sequential processing
- Hierarchical: For complex systems

## Analysis Operations
```javascript
// Run performance analysis
mcp__c
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