chess/.claude/commands/analysis/bottleneck-detect.md
Christoph Wagner 5ad0700b41 refactor: Consolidate repository structure - flatten from workspace pattern
Restructured project from nested workspace pattern to flat single-repo layout.
This eliminates redundant nesting and consolidates all project files under version control.

## Migration Summary

**Before:**
```
alex/ (workspace, not versioned)
├── chess-game/ (git repo)
│   ├── js/, css/, tests/
│   └── index.html
└── docs/ (planning, not versioned)
```

**After:**
```
alex/ (git repo, everything versioned)
├── js/, css/, tests/
├── index.html
├── docs/ (project documentation)
├── planning/ (historical planning docs)
├── .gitea/ (CI/CD)
└── CLAUDE.md (configuration)
```

## Changes Made

### Structure Consolidation
- Moved all chess-game/ contents to root level
- Removed redundant chess-game/ subdirectory
- Flattened directory structure (eliminated one nesting level)

### Documentation Organization
- Moved chess-game/docs/ → docs/ (project documentation)
- Moved alex/docs/ → planning/ (historical planning documents)
- Added CLAUDE.md (workspace configuration)
- Added IMPLEMENTATION_PROMPT.md (original project prompt)

### Version Control Improvements
- All project files now under version control
- Planning documents preserved in planning/ folder
- Merged .gitignore files (workspace + project)
- Added .claude/ agent configurations

### File Updates
- Updated .gitignore to include both workspace and project excludes
- Moved README.md to root level
- All import paths remain functional (relative paths unchanged)

## Benefits

 **Simpler Structure** - One level of nesting removed
 **Complete Versioning** - All documentation now in git
 **Standard Layout** - Matches open-source project conventions
 **Easier Navigation** - Direct access to all project files
 **CI/CD Compatible** - All workflows still functional

## Technical Validation

-  Node.js environment verified
-  Dependencies installed successfully
-  Dev server starts and responds
-  All core files present and accessible
-  Git repository functional

## Files Preserved

**Implementation Files:**
- js/ (3,517 lines of code)
- css/ (4 stylesheets)
- tests/ (87 test cases)
- index.html
- package.json

**CI/CD Pipeline:**
- .gitea/workflows/ci.yml
- .gitea/workflows/release.yml

**Documentation:**
- docs/ (12+ documentation files)
- planning/ (historical planning materials)
- README.md

**Configuration:**
- jest.config.js, babel.config.cjs, playwright.config.js
- .gitignore (merged)
- CLAUDE.md

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-23 10:05:26 +01:00

3.5 KiB

bottleneck detect

Analyze performance bottlenecks in swarm operations and suggest optimizations.

Usage

npx claude-flow bottleneck detect [options]

Options

  • --swarm-id, -s <id> - Analyze specific swarm (default: current)
  • --time-range, -t <range> - Analysis period: 1h, 24h, 7d, all (default: 1h)
  • --threshold <percent> - Bottleneck threshold percentage (default: 20)
  • --export, -e <file> - Export analysis to file
  • --fix - Apply automatic optimizations

Examples

Basic bottleneck detection

npx claude-flow bottleneck detect

Analyze specific swarm

npx claude-flow bottleneck detect --swarm-id swarm-123

Last 24 hours with export

npx claude-flow bottleneck detect -t 24h -e bottlenecks.json

Auto-fix detected issues

npx claude-flow bottleneck detect --fix --threshold 15

Metrics Analyzed

Communication Bottlenecks

  • Message queue delays
  • Agent response times
  • Coordination overhead
  • Memory access patterns

Processing Bottlenecks

  • Task completion times
  • Agent utilization rates
  • Parallel execution efficiency
  • Resource contention

Memory Bottlenecks

  • Cache hit rates
  • Memory access patterns
  • Storage I/O performance
  • Neural pattern loading

Network Bottlenecks

  • API call latency
  • MCP communication delays
  • External service timeouts
  • Concurrent request limits

Output Format

🔍 Bottleneck Analysis Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━

📊 Summary
├── Time Range: Last 1 hour
├── Agents Analyzed: 6
├── Tasks Processed: 42
└── Critical Issues: 2

🚨 Critical Bottlenecks
1. Agent Communication (35% impact)
   └── coordinator → coder-1 messages delayed by 2.3s avg

2. Memory Access (28% impact)
   └── Neural pattern loading taking 1.8s per access

⚠️ Warning Bottlenecks
1. Task Queue (18% impact)
   └── 5 tasks waiting > 10s for assignment

💡 Recommendations
1. Switch to hierarchical topology (est. 40% improvement)
2. Enable memory caching (est. 25% improvement)
3. Increase agent concurrency to 8 (est. 20% improvement)

✅ Quick Fixes Available
Run with --fix to apply:
- Enable smart caching
- Optimize message routing
- Adjust agent priorities

Automatic Fixes

When using --fix, the following optimizations may be applied:

  1. Topology Optimization

    • Switch to more efficient topology
    • Adjust communication patterns
    • Reduce coordination overhead
  2. Caching Enhancement

    • Enable memory caching
    • Optimize cache strategies
    • Preload common patterns
  3. Concurrency Tuning

    • Adjust agent counts
    • Optimize parallel execution
    • Balance workload distribution
  4. Priority Adjustment

    • Reorder task queues
    • Prioritize critical paths
    • Reduce wait times

Performance Impact

Typical improvements after bottleneck resolution:

  • Communication: 30-50% faster message delivery
  • Processing: 20-40% reduced task completion time
  • Memory: 40-60% fewer cache misses
  • Overall: 25-45% performance improvement

Integration with Claude Code

// Check for bottlenecks in Claude Code
mcp__claude-flow__bottleneck_detect {
  timeRange: "1h",
  threshold: 20,
  autoFix: false
}

See Also

  • performance report - Detailed performance analysis
  • token usage - Token optimization analysis
  • swarm monitor - Real-time monitoring
  • cache manage - Cache optimization