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/auto-topology.md

@@ -0,0 +1,62 @@
+# Automatic Topology Selection
+
+## Purpose
+Automatically select the optimal swarm topology based on task complexity analysis.
+
+## How It Works
+
+### 1. Task Analysis
+The system analyzes your task description to determine:
+- Complexity level (simple/medium/complex)
+- Required agent types
+- Estimated duration
+- Resource requirements
+
+### 2. Topology Selection
+Based on analysis, it selects:
+- **Star**: For simple, centralized tasks
+- **Mesh**: For medium complexity with flexibility needs
+- **Hierarchical**: For complex tasks requiring structure
+- **Ring**: For sequential processing workflows
+
+### 3. Example Usage
+
+**Simple Task:**
+```
+Tool: mcp__claude-flow__task_orchestrate
+Parameters: {"task": "Fix typo in README.md"}
+Result: Automatically uses star topology with single agent
+```
+
+**Complex Task:**
+```
+Tool: mcp__claude-flow__task_orchestrate
+Parameters: {"task": "Refactor authentication system with JWT, add tests, update documentation"}
+Result: Automatically uses hierarchical topology with architect, coder, and tester agents
+```
+
+## Benefits
+- 🎯 Optimal performance for each task type
+- 🤖 Automatic agent assignment
+- ⚡ Reduced setup time
+- 📊 Better resource utilization
+
+## Hook Configuration
+The pre-task hook automatically handles topology selection:
+```json
+{
+  "command": "npx claude-flow hook pre-task --optimize-topology"
+}
+```
+
+## Direct Optimization
+```
+Tool: mcp__claude-flow__topology_optimize
+Parameters: {"swarmId": "current"}
+```
+
+## CLI Usage
+```bash
+# Auto-optimize topology via CLI
+npx claude-flow optimize topology
+```