d2f3886ae1
Repository Restructure: - Move all 83 agent .md files to agents/ subdirectory - Add 15 workflow orchestrators from commands repo to workflows/ - Add 42 development tools from commands repo to tools/ - Update README for unified repository structure The commands repository functionality is now fully integrated, providing complete workflow orchestration and development tooling alongside agents. Directory Structure: - agents/ - 83 specialized AI agents - workflows/ - 15 multi-agent orchestration commands - tools/ - 42 focused development utilities No breaking changes to agent functionality - all agents remain accessible with same names and behavior. Adds workflow and tool commands for enhanced multi-agent coordination capabilities.
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model
| model |
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| claude-sonnet-4-0 |
Optimize application stack using specialized optimization agents:
[Extended thinking: This tool coordinates database, performance, and frontend optimization agents to improve application performance holistically. Each agent focuses on their domain while ensuring optimizations work together.]
Optimization Strategy
1. Database Optimization
Use Task tool with subagent_type="database-optimizer" to:
- Analyze query performance and execution plans
- Optimize indexes and table structures
- Implement caching strategies
- Review connection pooling and configurations
- Suggest schema improvements
Prompt: "Optimize database layer for: $ARGUMENTS. Analyze and improve:
- Slow query identification and optimization
- Index analysis and recommendations
- Schema optimization for performance
- Connection pool tuning
- Caching strategy implementation"
2. Application Performance
Use Task tool with subagent_type="performance-engineer" to:
- Profile application code
- Identify CPU and memory bottlenecks
- Optimize algorithms and data structures
- Implement caching at application level
- Improve async/concurrent operations
Prompt: "Optimize application performance for: $ARGUMENTS. Focus on:
- Code profiling and bottleneck identification
- Algorithm optimization
- Memory usage optimization
- Concurrency improvements
- Application-level caching"
3. Frontend Optimization
Use Task tool with subagent_type="frontend-developer" to:
- Reduce bundle sizes
- Implement lazy loading
- Optimize rendering performance
- Improve Core Web Vitals
- Implement efficient state management
Prompt: "Optimize frontend performance for: $ARGUMENTS. Improve:
- Bundle size reduction strategies
- Lazy loading implementation
- Rendering optimization
- Core Web Vitals (LCP, FID, CLS)
- Network request optimization"
Consolidated Optimization Plan
Performance Baseline
- Current performance metrics
- Identified bottlenecks
- User experience impact
Optimization Roadmap
-
Quick Wins (< 1 day)
- Simple query optimizations
- Basic caching implementation
- Bundle splitting
-
Medium Improvements (1-3 days)
- Index optimization
- Algorithm improvements
- Lazy loading implementation
-
Major Optimizations (3+ days)
- Schema redesign
- Architecture changes
- Full caching layer
Expected Improvements
- Database query time reduction: X%
- API response time improvement: X%
- Frontend load time reduction: X%
- Overall user experience impact
Implementation Priority
- Ordered list of optimizations by impact/effort ratio
- Dependencies between optimizations
- Risk assessment for each change
Target for optimization: $ARGUMENTS