feat: Complete Rust port of WiFi-DensePose with modular crates

Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment

.claude/commands/optimization/parallel-execution.md

@@ -0,0 +1,50 @@
+# Parallel Task Execution
+
+## Purpose
+Execute independent subtasks in parallel for maximum efficiency.
+
+## Coordination Strategy
+
+### 1. Task Decomposition
+```
+Tool: mcp__claude-flow__task_orchestrate
+Parameters: {
+  "task": "Build complete REST API with auth, CRUD operations, and tests",
+  "strategy": "parallel",
+  "maxAgents": 8
+}
+```
+
+### 2. Parallel Workflows
+The system automatically:
+- Identifies independent components
+- Assigns specialized agents
+- Executes in parallel where possible
+- Synchronizes at dependency points
+
+### 3. Example Breakdown
+For the REST API task:
+- **Agent 1 (Architect)**: Design API structure
+- **Agent 2-3 (Coders)**: Implement auth & CRUD in parallel
+- **Agent 4 (Tester)**: Write tests as features complete
+- **Agent 5 (Documenter)**: Update docs continuously
+
+## CLI Usage
+```bash
+# Execute parallel tasks via CLI
+npx claude-flow parallel "Build REST API" --max-agents 8
+```
+
+## Performance Gains
+- 🚀 2.8-4.4x faster execution
+- 💪 Optimal CPU utilization
+- 🔄 Automatic load balancing
+- 📈 Linear scalability with agents
+
+## Monitoring
+```
+Tool: mcp__claude-flow__swarm_monitor
+Parameters: {"interval": 1000, "swarmId": "current"}
+```
+
+Watch real-time parallel execution progress!