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

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

.qwen/commands/implement-algorithm.md

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+# Implement Mathematical Algorithm
+
+Implement the following mathematical algorithm for the MEV bot: $ARGUMENTS
+
+## Implementation Framework:
+1. **Requirements Analysis**: Break down the mathematical requirements and precision needs
+2. **Formula Implementation**: Convert mathematical formulas to precise Go code
+3. **Precision Handling**: Use appropriate data types (uint256, big.Int) for calculations
+4. **Edge Case Handling**: Consider boundary conditions and error scenarios
+5. **Testing**: Create comprehensive tests including property-based tests
+6. **Optimization**: Optimize for performance while maintaining precision
+
+## Implementation Standards:
+- **Numerical Precision**: Use github.com/holiman/uint256 for precise uint256 arithmetic
+- **Error Handling**: Implement robust error handling with clear error messages
+- **Documentation**: Document all mathematical formulas and implementation decisions
+- **Testing**: Achieve >95% test coverage with property-based tests for mathematical functions
+- **Performance**: Consider performance implications and benchmark critical paths
+
+## File Organization:
+- **Core Logic**: Place in appropriate `pkg/uniswap/` or `pkg/math/` subdirectory
+- **Tests**: Co-locate with source files (`*_test.go`)
+- **Documentation**: Inline comments explaining mathematical formulas
+
+## Integration Points:
+- **Uniswap Pricing**: Integrate with `pkg/uniswap/` for pricing calculations
+- **Market Analysis**: Connect to `pkg/market/` for market data processing
+- **Precision Libraries**: Use `github.com/holiman/uint256` for uint256 arithmetic
+
+## Deliverables:
+- Working implementation with comprehensive tests
+- Documentation of mathematical formulas and implementation approach
+- Performance benchmarks for critical functions
+- Edge case handling and error scenarios