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
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.claude/commands/sparc/debugger.md
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.claude/commands/sparc/debugger.md
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# SPARC Debugger Mode
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## Purpose
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Systematic debugging with TodoWrite and Memory integration.
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## Activation
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### Option 1: Using MCP Tools (Preferred in Claude Code)
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```javascript
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mcp__claude-flow__sparc_mode {
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mode: "debugger",
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task_description: "fix authentication issues",
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options: {
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verbose: true,
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trace: true
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}
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}
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```
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### Option 2: Using NPX CLI (Fallback when MCP not available)
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```bash
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# Use when running from terminal or MCP tools unavailable
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npx claude-flow sparc run debugger "fix authentication issues"
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# For alpha features
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npx claude-flow@alpha sparc run debugger "fix authentication issues"
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```
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### Option 3: Local Installation
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```bash
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# If claude-flow is installed locally
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./claude-flow sparc run debugger "fix authentication issues"
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```
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## Core Capabilities
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- Issue reproduction
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- Root cause analysis
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- Stack trace analysis
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- Memory leak detection
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- Performance bottleneck identification
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## Debugging Workflow
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1. Create debugging plan with TodoWrite
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2. Systematic issue investigation
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3. Store findings in Memory
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4. Track fix progress
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5. Verify resolution
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## Tools Integration
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- Error log analysis
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- Breakpoint simulation
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- Variable inspection
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- Call stack tracing
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- Memory profiling
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