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Analysis Bottleneck Detect

ASecurity

Detect performance bottlenecks in system components and swarm operations.

  • 21 stars
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  • Added September 10, 2026
ai-agentsjavascriptjavabashperformance

Works with

  • claude code
  • mcp

Security analysis

A100/100

Scanned September 28, 2026

npx -y skills add monoes/monomind --skill analysis-bottleneck-detect --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: analysis-bottleneck-detect
description: Detect performance bottlenecks in system components and swarm operations.
type: flow
---

# bottleneck-detect

Detect performance bottlenecks in system components and swarm operations.

## Usage

```bash
npx monomind performance bottleneck [options]
```

## Options

- `--component, -c <name>` - Analyze a specific component (e.g. `memory`, `neural`, `swarm`)
- `--depth, -d <level>` - Analysis depth: `quick` (default) or `full`

## Examples

### Quick bottleneck scan

```bash
npx monomind performance bottleneck
```

### Deep analysis of a specific component

```bash
npx monomind performance bottleneck --component memory --depth full
```

## Metrics Analyzed

### Processing Bottlenecks

- CPU load and utilization
- Memory pressure and heap usage
- Disk I/O latency

### Swarm Bottlenecks

- Agent coordination overhead
- Task queue depth and wait times
- Parallel execution efficiency

### Memory Bottlenecks

- Cache hit rates
- Neural pattern load time
- Storage I/O performance

## Integration with Claude Code

```javascript
mcp__monomind__performance_bottleneck({
  component: "memory",   // optional — omit to scan all
  threshold: 20,         // alert threshold %
  deep: false            // set true for full analysis
})
```

## See Also

- `performance metrics` — detailed time-series metrics
- `performance optimize` — apply recommended fixes
- `performance benchmark` — run benchmark suites
- `token-usage` — token consumption analysis

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