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

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

.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