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# Monitoring Commands
Commands for monitoring operations in Claude Flow.
## Available Commands
- [swarm-monitor](./swarm-monitor.md)
- [agent-metrics](./agent-metrics.md)
- [real-time-view](./real-time-view.md)

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# agent-metrics
View agent performance metrics.
## Usage
```bash
npx claude-flow agent metrics [options]
```
## Options
- `--agent-id <id>` - Specific agent
- `--period <time>` - Time period
- `--format <type>` - Output format
## Examples
```bash
# All agents metrics
npx claude-flow agent metrics
# Specific agent
npx claude-flow agent metrics --agent-id agent-001
# Last hour
npx claude-flow agent metrics --period 1h
```

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# List Active Patterns
## 🎯 Key Principle
**This tool coordinates Claude Code's actions. It does NOT write code or create content.**
## MCP Tool Usage in Claude Code
**Tool:** `mcp__claude-flow__agent_list`
## Parameters
```json
{
"swarmId": "current"
}
```
## Description
View all active cognitive patterns and their current focus areas
## Details
Filters:
- **all**: Show all defined patterns
- **active**: Currently engaged patterns
- **idle**: Available but unused patterns
- **busy**: Patterns actively coordinating tasks
## Example Usage
**In Claude Code:**
1. List all agents: Use tool `mcp__claude-flow__agent_list`
2. Get specific agent metrics: Use tool `mcp__claude-flow__agent_metrics` with parameters `{"agentId": "coder-123"}`
3. Monitor agent performance: Use tool `mcp__claude-flow__swarm_monitor` with parameters `{"interval": 2000}`
## Important Reminders
- ✅ This tool provides coordination and structure
- ✅ Claude Code performs all actual implementation
- ❌ The tool does NOT write code
- ❌ The tool does NOT access files directly
- ❌ The tool does NOT execute commands
## See Also
- Main documentation: /CLAUDE.md
- Other commands in this category
- Workflow examples in /workflows/

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# real-time-view
Real-time view of swarm activity.
## Usage
```bash
npx claude-flow monitoring real-time-view [options]
```
## Options
- `--filter <type>` - Filter view
- `--highlight <pattern>` - Highlight pattern
- `--tail <n>` - Show last N events
## Examples
```bash
# Start real-time view
npx claude-flow monitoring real-time-view
# Filter errors
npx claude-flow monitoring real-time-view --filter errors
# Highlight pattern
npx claude-flow monitoring real-time-view --highlight "API"
```

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# Check Coordination Status
## 🎯 Key Principle
**This tool coordinates Claude Code's actions. It does NOT write code or create content.**
## MCP Tool Usage in Claude Code
**Tool:** `mcp__claude-flow__swarm_status`
## Parameters
```json
{
"swarmId": "current"
}
```
## Description
Monitor the effectiveness of current coordination patterns
## Details
Shows:
- Active coordination topologies
- Current cognitive patterns in use
- Task breakdown and progress
- Resource utilization for coordination
- Overall system health
## Example Usage
**In Claude Code:**
1. Check swarm status: Use tool `mcp__claude-flow__swarm_status`
2. Monitor in real-time: Use tool `mcp__claude-flow__swarm_monitor` with parameters `{"interval": 1000}`
3. Get agent metrics: Use tool `mcp__claude-flow__agent_metrics` with parameters `{"agentId": "agent-123"}`
4. Health check: Use tool `mcp__claude-flow__health_check` with parameters `{"components": ["swarm", "memory", "neural"]}`
## Important Reminders
- ✅ This tool provides coordination and structure
- ✅ Claude Code performs all actual implementation
- ❌ The tool does NOT write code
- ❌ The tool does NOT access files directly
- ❌ The tool does NOT execute commands
## See Also
- Main documentation: /CLAUDE.md
- Other commands in this category
- Workflow examples in /workflows/

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# swarm-monitor
Real-time swarm monitoring.
## Usage
```bash
npx claude-flow swarm monitor [options]
```
## Options
- `--interval <ms>` - Update interval
- `--metrics` - Show detailed metrics
- `--export` - Export monitoring data
## Examples
```bash
# Start monitoring
npx claude-flow swarm monitor
# Custom interval
npx claude-flow swarm monitor --interval 5000
# With metrics
npx claude-flow swarm monitor --metrics
```