chore(ai): add comprehensive CLI configurations for all AI assistants

Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>

.gemini/commands/analyze-bottlenecks.md

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+# Analyze Bottlenecks
+
+Analyze performance bottlenecks in the following area: $ARGUMENTS
+
+## Analysis Steps:
+1. **CPU Profiling**: Identify CPU-intensive functions and hot paths
+2. **Memory Profiling**: Check for memory leaks and high allocation patterns
+3. **Goroutine Analysis**: Look for goroutine leaks and blocking operations
+4. **I/O Performance**: Analyze network and disk I/O patterns
+5. **Concurrency Issues**: Check for race conditions and lock contention
+
+## Profiling Commands:
+```bash
+# CPU profile with detailed analysis
+go tool pprof -top -cum http://localhost:9090/debug/pprof/profile?seconds=60
+
+# Memory profile with allocation details
+go tool pprof -alloc_space http://localhost:9090/debug/pprof/heap
+
+# Goroutine blocking profile
+go tool pprof http://localhost:9090/debug/pprof/block
+
+# Mutex contention profile
+go tool pprof http://localhost:9090/debug/pprof/mutex
+```
+
+## Analysis Focus Areas:
+- Worker pool efficiency in `pkg/market/pipeline.go`
+- Event parsing performance in `pkg/events/`
+- Uniswap math calculations in `pkg/uniswap/`
+- Memory usage in large transaction processing
+- Rate limiting effectiveness in `internal/ratelimit/`
+
+## Output Requirements:
+- Detailed bottleneck analysis with percentages
+- Flame graphs and performance visualizations
+- Root cause identification for top bottlenecks
+- Optimization recommendations with expected impact
+- Priority ranking of issues

.gemini/commands/improve-latency.md

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+# Improve Latency Performance
+
+Improve latency performance for the following critical path: $ARGUMENTS
+
+## Latency Optimization Strategy:
+
+### 1. **Latency Analysis**
+- Measure current end-to-end latency
+- Identify latency components (network, computation, I/O)
+- Analyze latency distribution and outliers
+
+### 2. **Optimization Areas**
+
+#### **Network Latency**
+- Connection pooling for RPC calls
+- Request batching and pipelining
+- Caching frequently accessed data
+- Asynchronous processing patterns
+
+#### **Computational Latency**
+- Algorithmic complexity reduction
+- Lookup table implementation
+- Parallel processing opportunities
+- Precision vs. performance trade-offs
+
+#### **I/O Latency**
+- Buffering and streaming optimizations
+- Disk I/O patterns
+- Database query optimization
+- File system caching
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Critical Path Components**
+- Transaction detection and parsing (< 10 microseconds target)
+- Market analysis and arbitrage calculation
+- Opportunity evaluation and ranking
+- Execution decision making
+
+## Implementation Guidelines:
+- Measure latency at each component
+- Focus on 95th and 99th percentile improvements
+- Ensure deterministic performance characteristics
+- Maintain accuracy while improving speed
+
+## Deliverables:
+- Latency benchmark results (before/after)
+- Latency distribution analysis
+- Optimization documentation
+- Monitoring and alerting for latency regressions
+- Performance vs. accuracy trade-off analysis

.gemini/commands/optimize-performance.md

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+# Optimize Performance
+
+Optimize the performance of the following component in the MEV bot: $ARGUMENTS
+
+## Performance Optimization Strategy:
+
+### 1. **Profiling and Measurement**
+```bash
+# CPU profiling
+go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
+
+# Memory profiling
+go tool pprof http://localhost:9090/debug/pprof/heap
+
+# Goroutine analysis
+go tool pprof http://localhost:9090/debug/pprof/goroutine
+
+# Mutex contention analysis
+go tool pprof http://localhost:9090/debug/pprof/mutex
+```
+
+### 2. **Optimization Areas**
+
+#### **Concurrency Optimization**
+- Worker pool sizing and configuration
+- Channel buffer optimization
+- Goroutine pooling and reuse
+- Lock contention reduction
+- Context cancellation patterns
+
+#### **Memory Optimization**
+- Object pooling for frequent allocations
+- Buffer reuse patterns
+- Garbage collection tuning
+- Memory leak prevention
+- Slice and map pre-allocation
+
+#### **Algorithm Optimization**
+- Computational complexity reduction
+- Data structure selection
+- Caching strategies
+- Lookup table implementation
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Transaction Processing**
+- Parallel transaction processing
+- Event filtering optimization
+- Batch processing strategies
+
+#### **Market Analysis**
+- Price calculation caching
+- Pool data caching
+- Historical data indexing
+
+## Implementation Guidelines:
+- Measure before optimizing (baseline metrics)
+- Focus on bottlenecks identified through profiling
+- Maintain code readability and maintainability
+- Add performance tests for regressions
+- Document performance characteristics
+
+## Deliverables:
+- Performance benchmark results (before/after)
+- Optimized code with maintained functionality
+- Performance monitoring enhancements
+- Optimization documentation
+- Regression test suite

.gemini/commands/reduce-memory.md

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+# Reduce Memory Allocations
+
+Reduce memory allocations in the following hot path: $ARGUMENTS
+
+## Memory Optimization Strategy:
+
+### 1. **Allocation Analysis**
+- Identify high-frequency allocation points
+- Measure current allocation rates and patterns
+- Analyze garbage collection pressure
+
+### 2. **Optimization Techniques**
+
+#### **Object Pooling**
+- Implement sync.Pool for frequently created objects
+- Pool buffers, structs, and temporary objects
+- Proper reset patterns for pooled objects
+
+#### **Pre-allocation**
+- Pre-allocate slices and maps when size is predictable
+- Reuse existing data structures
+- Avoid repeated allocations in loops
+
+#### **Buffer Reuse**
+- Reuse byte buffers and string builders
+- Implement buffer pools for I/O operations
+- Minimize string concatenation
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Transaction Processing**
+- Pool transaction objects and event structures
+- Reuse parsing buffers
+- Optimize log and metric object creation
+
+#### **Mathematical Calculations**
+- Pool uint256 and big.Int objects
+- Reuse temporary calculation buffers
+- Optimize precision object handling
+
+## Implementation Guidelines:
+- Measure allocation reduction with benchmarks
+- Monitor garbage collection statistics
+- Ensure thread safety in pooled objects
+- Maintain code readability and maintainability
+
+## Deliverables:
+- Memory allocation reduction benchmarks
+- Optimized code with pooling strategies
+- GC pressure analysis before and after
+- Memory usage monitoring enhancements
+- Best practices documentation for team

.gemini/commands/tune-concurrency.md

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+# Tune Concurrency Patterns
+
+Tune concurrency patterns for the following component: $ARGUMENTS
+
+## Concurrency Tuning Strategy:
+
+### 1. **Current Pattern Analysis**
+- Identify existing concurrency patterns (worker pools, pipelines, etc.)
+- Measure current performance and resource utilization
+- Analyze bottlenecks in concurrent processing
+
+### 2. **Optimization Areas**
+
+#### **Worker Pool Tuning**
+- Optimal worker count based on CPU cores and workload
+- Channel buffer sizing for backpressure management
+- Task distribution strategies
+- Worker lifecycle management
+
+#### **Pipeline Optimization**
+- Stage balancing to prevent bottlenecks
+- Buffer sizing between pipeline stages
+- Error propagation and recovery
+- Context cancellation handling
+
+#### **Fan-in/Fan-out Patterns**
+- Optimal fan-out ratios
+- Result merging strategies
+- Resource allocation across branches
+- Synchronization mechanisms
+
+### 3. **MEV Bot Specific Tuning**
+
+#### **Transaction Processing**
+- Optimal concurrent transaction processing
+- Event parsing parallelization
+- Memory usage per goroutine
+
+#### **Market Analysis**
+- Concurrent pool data fetching
+- Parallel arbitrage calculations
+- Resource sharing between analysis tasks
+
+## Implementation Guidelines:
+- Test with realistic workload patterns
+- Monitor resource utilization (CPU, memory, goroutines)
+- Ensure graceful degradation under load
+- Maintain error handling and recovery mechanisms
+
+## Deliverables:
+- Concurrency tuning recommendations
+- Performance benchmarks with different configurations
+- Resource utilization analysis
+- Configuration guidelines for different environments
+- Monitoring and alerting for concurrency issues