refactor: move all remaining files to orig/ directory

Completed clean root directory structure:
- Root now contains only: .git, .env, docs/, orig/
- Moved all remaining files and directories to orig/:
  - Config files (.claude, .dockerignore, .drone.yml, etc.)
  - All .env variants (except active .env)
  - Git config (.gitconfig, .github, .gitignore, etc.)
  - Tool configs (.golangci.yml, .revive.toml, etc.)
  - Documentation (*.md files, @prompts)
  - Build files (Dockerfiles, Makefile, go.mod, go.sum)
  - Docker compose files
  - All source directories (scripts, tests, tools, etc.)
  - Runtime directories (logs, monitoring, reports)
  - Dependency files (node_modules, lib, cache)
  - Special files (--delete)

- Removed empty runtime directories (bin/, data/)

V2 structure is now clean:
- docs/planning/ - V2 planning documents
- orig/ - Complete V1 codebase preserved
- .env - Active environment config (not in git)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

orig/.claude/commands/implement-algorithm.md

@@ -0,0 +1,34 @@
+# 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