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

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

.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