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/@prompts/gas-optimization.md

@@ -0,0 +1,26 @@
+You are an expert in Ethereum gas optimization and MEV strategies. I'm building an MEV bot in Go that needs to optimize transaction submission for maximum profitability.
+
+I need help with:
+
+1. Estimating optimal gas prices for arbitrage transactions
+2. Implementing transaction bundling strategies
+3. Working with flashbots or similar MEV protection services
+4. Optimizing transaction ordering within bundles
+5. Handling frontrunning and backrunning strategies
+6. Managing gas refunds and stipends
+
+Please provide production-ready Go code that:
+- Integrates with flashbots or similar MEV protection services
+- Calculates optimal gas prices based on network conditions
+- Implements transaction bundling for atomic execution
+- Handles errors and edge cases properly
+- Follows Go best practices
+- Is optimized for performance
+- Includes comprehensive comments
+
+The code should:
+- Connect to flashbots relay or similar service
+- Calculate optimal gas prices based on base fee and priority fees
+- Bundle transactions for atomic execution
+- Handle failed transactions gracefully
+- Implement retry logic with exponential backoff