feat: Enhanced Claude Code configuration with comprehensive best practices

- Updated project CLAUDE.md with detailed commands, workflows, and guidelines
- Added environment configuration and performance monitoring commands
- Enhanced security guidelines and commit message conventions
- Created 5 custom slash commands for common MEV bot development tasks:
  * /analyze-performance - Comprehensive performance analysis
  * /debug-issue - Structured debugging workflow
  * /implement-feature - Feature implementation framework
  * /security-audit - Security audit checklist
  * /optimize-performance - Performance optimization strategy
- Updated global CLAUDE.md with universal best practices
- Improved file organization and development standards

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

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

.claude/commands/analyze-performance.md

@@ -0,0 +1,34 @@
+# Analyze Performance Issues
+
+Perform a comprehensive performance analysis of the MEV bot: $ARGUMENTS
+
+## Analysis Steps:
+1. **Memory Profiling**: Check for memory leaks and high allocation patterns
+2. **CPU Profiling**: Identify CPU bottlenecks and hot paths
+3. **Goroutine Analysis**: Look for goroutine leaks and blocking operations
+4. **I/O Performance**: Analyze network and disk I/O patterns
+5. **Concurrency Issues**: Check for race conditions and lock contention
+
+## Performance Commands to Run:
+```bash
+# Memory profile
+go tool pprof http://localhost:9090/debug/pprof/heap
+
+# CPU profile
+go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
+
+# Goroutine analysis
+go tool pprof http://localhost:9090/debug/pprof/goroutine
+
+# Enable race detector
+go run -race ./cmd/mev-bot
+```
+
+## Analysis Focus Areas:
+- Worker pool efficiency in `pkg/market/pipeline.go`
+- Event parsing performance in `pkg/events/`
+- Uniswap math calculations in `pkg/uniswap/`
+- Memory usage in large transaction processing
+- Rate limiting effectiveness in `internal/ratelimit/`
+
+Please provide specific performance metrics and recommendations for optimization.