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-execute.md

@@ -0,0 +1,25 @@
+# parallel-execute
+
+Execute tasks in parallel for maximum efficiency.
+
+## Usage
+```bash
+npx claude-flow optimization parallel-execute [options]
+```
+
+## Options
+- `--tasks <file>` - Task list file
+- `--max-parallel <n>` - Maximum parallel tasks
+- `--strategy <type>` - Execution strategy
+
+## Examples
+```bash
+# Execute task list
+npx claude-flow optimization parallel-execute --tasks tasks.json
+
+# Limit parallelism
+npx claude-flow optimization parallel-execute --tasks tasks.json --max-parallel 5
+
+# Custom strategy
+npx claude-flow optimization parallel-execute --strategy adaptive
+```