chore(ai): add comprehensive CLI configurations for all AI assistants
Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
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.qwen/commands/implement-algorithm.md
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.qwen/commands/implement-algorithm.md
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# Implement Mathematical Algorithm
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Implement the following mathematical algorithm for the MEV bot: $ARGUMENTS
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## Implementation Framework:
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1. **Requirements Analysis**: Break down the mathematical requirements and precision needs
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2. **Formula Implementation**: Convert mathematical formulas to precise Go code
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3. **Precision Handling**: Use appropriate data types (uint256, big.Int) for calculations
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4. **Edge Case Handling**: Consider boundary conditions and error scenarios
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5. **Testing**: Create comprehensive tests including property-based tests
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6. **Optimization**: Optimize for performance while maintaining precision
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## Implementation Standards:
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- **Numerical Precision**: Use github.com/holiman/uint256 for precise uint256 arithmetic
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- **Error Handling**: Implement robust error handling with clear error messages
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- **Documentation**: Document all mathematical formulas and implementation decisions
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- **Testing**: Achieve >95% test coverage with property-based tests for mathematical functions
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- **Performance**: Consider performance implications and benchmark critical paths
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## File Organization:
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- **Core Logic**: Place in appropriate `pkg/uniswap/` or `pkg/math/` subdirectory
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- **Tests**: Co-locate with source files (`*_test.go`)
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- **Documentation**: Inline comments explaining mathematical formulas
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## Integration Points:
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- **Uniswap Pricing**: Integrate with `pkg/uniswap/` for pricing calculations
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- **Market Analysis**: Connect to `pkg/market/` for market data processing
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- **Precision Libraries**: Use `github.com/holiman/uint256` for uint256 arithmetic
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## Deliverables:
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- Working implementation with comprehensive tests
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- Documentation of mathematical formulas and implementation approach
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- Performance benchmarks for critical functions
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- Edge case handling and error scenarios
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.qwen/commands/optimize-math.md
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.qwen/commands/optimize-math.md
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# Optimize Mathematical Performance
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Optimize the performance of the following mathematical function in the MEV bot: $ARGUMENTS
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## Performance Optimization Strategy:
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### 1. **Profiling and Measurement**
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```bash
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# CPU profiling for mathematical functions
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go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
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# Memory profiling for mathematical calculations
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go tool pprof http://localhost:9090/debug/pprof/heap
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# Benchmark testing for mathematical functions
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go test -bench=. -benchmem ./pkg/uniswap/...
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```
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### 2. **Optimization Areas**
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#### **Precision Handling Optimization**
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- Uint256 arithmetic optimization
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- Object pooling for frequent calculations
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- Minimize memory allocations in hot paths
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- Efficient conversion between data types
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#### **Algorithm Optimization**
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- Mathematical formula simplification
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- Lookup table implementation for repeated calculations
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- Caching strategies for expensive computations
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- Parallel processing opportunities
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#### **Memory Optimization**
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- Pre-allocation of slices and buffers
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- Object pooling for mathematical objects
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- Minimize garbage collection pressure
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- Efficient data structure selection
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### 3. **MEV Bot Specific Optimizations**
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#### **Uniswap V3 Pricing Functions**
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- sqrtPriceX96 to price conversion optimization
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- Tick calculation performance improvements
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- Liquidity-based calculation efficiency
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- Price impact computation optimization
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#### **Arbitrage Calculations**
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- Profit calculation optimization
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- Cross-pool comparison performance
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- Gas estimation accuracy and speed
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- Multi-hop arbitrage efficiency
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## Implementation Guidelines:
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- Measure before optimizing (baseline metrics)
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- Focus on bottlenecks identified through profiling
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- Maintain mathematical precision while improving performance
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- Add performance tests for regressions
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- Document optimization strategies and results
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## Deliverables:
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- Performance benchmark results (before/after)
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- Optimized code with maintained precision
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- Performance monitoring enhancements
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- Optimization documentation
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- Regression test suite
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.qwen/commands/verify-precision.md
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.qwen/commands/verify-precision.md
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# Verify Mathematical Precision
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Verify the precision and correctness of the following mathematical implementation in the MEV bot: $ARGUMENTS
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## Verification Protocol:
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### 1. **Mathematical Correctness Analysis**
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- Review mathematical formulas against official specifications
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- Validate implementation against known test cases
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- Check boundary conditions and edge cases
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- Verify precision handling for large numbers
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### 2. **Property-Based Testing**
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```bash
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# Run property-based tests for mathematical functions
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go test -v -run=Property ./pkg/uniswap/...
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# Run fuzz tests for mathematical calculations
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go test -fuzz=Fuzz ./pkg/uniswap/...
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```
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### 3. **Precision Validation Areas**
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#### **Uniswap V3 Calculations**
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- sqrtPriceX96 to price conversion accuracy
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- Tick calculation correctness
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- Liquidity-based calculation precision
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- Price impact computation validation
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#### **Financial Calculations**
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- Profit calculation accuracy
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- Gas estimation precision
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- Slippage protection validation
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- Fee calculation correctness
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### 4. **Comparison Testing**
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- Compare results with reference implementations
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- Validate against on-chain data when possible
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- Cross-check with other DeFi protocol implementations
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- Benchmark against established mathematical libraries
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## Verification Steps:
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1. **Static Analysis**: Review code for mathematical correctness
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2. **Unit Testing**: Verify with known test cases
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3. **Property Testing**: Test mathematical invariants
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4. **Fuzz Testing**: Find edge cases with random inputs
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5. **Comparison Testing**: Validate against reference implementations
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## Output Requirements:
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- Detailed correctness analysis report
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- Precision validation results
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- Edge case identification and handling
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- Recommendations for improvements
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- Test suite enhancements
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