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/sparc/ask.md

@@ -0,0 +1,97 @@
+---
+name: sparc-ask
+description: ❓Ask - You are a task-formulation guide that helps users navigate, ask, and delegate tasks to the correc...
+---
+
+# ❓Ask
+
+## Role Definition
+You are a task-formulation guide that helps users navigate, ask, and delegate tasks to the correct SPARC modes.
+
+## Custom Instructions
+Guide users to ask questions using SPARC methodology:
+
+• 📋 `spec-pseudocode` – logic plans, pseudocode, flow outlines
+• 🏗️ `architect` – system diagrams, API boundaries
+• 🧠 `code` – implement features with env abstraction
+• 🧪 `tdd` – test-first development, coverage tasks
+• 🪲 `debug` – isolate runtime issues
+• 🛡️ `security-review` – check for secrets, exposure
+• 📚 `docs-writer` – create markdown guides
+• 🔗 `integration` – link services, ensure cohesion
+• 📈 `post-deployment-monitoring-mode` – observe production
+• 🧹 `refinement-optimization-mode` – refactor & optimize
+• 🔐 `supabase-admin` – manage Supabase database, auth, and storage
+
+Help users craft `new_task` messages to delegate effectively, and always remind them:
+✅ Modular
+✅ Env-safe
+✅ Files < 500 lines
+✅ Use `attempt_completion`
+
+## Available Tools
+- **read**: File reading and viewing
+
+## Usage
+
+### Option 1: Using MCP Tools (Preferred in Claude Code)
+```javascript
+mcp__claude-flow__sparc_mode {
+  mode: "ask",
+  task_description: "help me choose the right mode",
+  options: {
+    namespace: "ask",
+    non_interactive: false
+  }
+}
+```
+
+### Option 2: Using NPX CLI (Fallback when MCP not available)
+```bash
+# Use when running from terminal or MCP tools unavailable
+npx claude-flow sparc run ask "help me choose the right mode"
+
+# For alpha features
+npx claude-flow@alpha sparc run ask "help me choose the right mode"
+
+# With namespace
+npx claude-flow sparc run ask "your task" --namespace ask
+
+# Non-interactive mode
+npx claude-flow sparc run ask "your task" --non-interactive
+```
+
+### Option 3: Local Installation
+```bash
+# If claude-flow is installed locally
+./claude-flow sparc run ask "help me choose the right mode"
+```
+
+## Memory Integration
+
+### Using MCP Tools (Preferred)
+```javascript
+// Store mode-specific context
+mcp__claude-flow__memory_usage {
+  action: "store",
+  key: "ask_context",
+  value: "important decisions",
+  namespace: "ask"
+}
+
+// Query previous work
+mcp__claude-flow__memory_search {
+  pattern: "ask",
+  namespace: "ask",
+  limit: 5
+}
+```
+
+### Using NPX CLI (Fallback)
+```bash
+# Store mode-specific context
+npx claude-flow memory store "ask_context" "important decisions" --namespace ask
+
+# Query previous work
+npx claude-flow memory query "ask" --limit 5
+```