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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.
90 lines
2.7 KiB
Markdown
90 lines
2.7 KiB
Markdown
---
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model: claude-sonnet-4-0
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---
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Optimize application stack using specialized optimization agents:
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[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.]
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## Optimization Strategy
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### 1. Database Optimization
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Use Task tool with subagent_type="database-optimizer" to:
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- Analyze query performance and execution plans
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- Optimize indexes and table structures
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- Implement caching strategies
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- Review connection pooling and configurations
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- Suggest schema improvements
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Prompt: "Optimize database layer for: $ARGUMENTS. Analyze and improve:
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1. Slow query identification and optimization
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2. Index analysis and recommendations
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3. Schema optimization for performance
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4. Connection pool tuning
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5. Caching strategy implementation"
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### 2. Application Performance
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Use Task tool with subagent_type="performance-engineer" to:
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- Profile application code
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- Identify CPU and memory bottlenecks
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- Optimize algorithms and data structures
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- Implement caching at application level
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- Improve async/concurrent operations
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Prompt: "Optimize application performance for: $ARGUMENTS. Focus on:
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1. Code profiling and bottleneck identification
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2. Algorithm optimization
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3. Memory usage optimization
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4. Concurrency improvements
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5. Application-level caching"
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### 3. Frontend Optimization
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Use Task tool with subagent_type="frontend-developer" to:
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- Reduce bundle sizes
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- Implement lazy loading
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- Optimize rendering performance
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- Improve Core Web Vitals
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- Implement efficient state management
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Prompt: "Optimize frontend performance for: $ARGUMENTS. Improve:
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1. Bundle size reduction strategies
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2. Lazy loading implementation
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3. Rendering optimization
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4. Core Web Vitals (LCP, FID, CLS)
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5. Network request optimization"
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## Consolidated Optimization Plan
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### Performance Baseline
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- Current performance metrics
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- Identified bottlenecks
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- User experience impact
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### Optimization Roadmap
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1. **Quick Wins** (< 1 day)
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- Simple query optimizations
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- Basic caching implementation
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- Bundle splitting
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2. **Medium Improvements** (1-3 days)
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- Index optimization
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- Algorithm improvements
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- Lazy loading implementation
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3. **Major Optimizations** (3+ days)
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- Schema redesign
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- Architecture changes
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- Full caching layer
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### Expected Improvements
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- Database query time reduction: X%
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- API response time improvement: X%
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- Frontend load time reduction: X%
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- Overall user experience impact
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### Implementation Priority
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- Ordered list of optimizations by impact/effort ratio
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- Dependencies between optimizations
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- Risk assessment for each change
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Target for optimization: $ARGUMENTS |