Files
wifi-densepose/.claude/commands/sparc/debugger.md
Claude 6ed69a3d48 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
2026-01-13 03:11:16 +00:00

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Markdown

# SPARC Debugger Mode
## Purpose
Systematic debugging with TodoWrite and Memory integration.
## Activation
### Option 1: Using MCP Tools (Preferred in Claude Code)
```javascript
mcp__claude-flow__sparc_mode {
mode: "debugger",
task_description: "fix authentication issues",
options: {
verbose: true,
trace: true
}
}
```
### 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 debugger "fix authentication issues"
# For alpha features
npx claude-flow@alpha sparc run debugger "fix authentication issues"
```
### Option 3: Local Installation
```bash
# If claude-flow is installed locally
./claude-flow sparc run debugger "fix authentication issues"
```
## Core Capabilities
- Issue reproduction
- Root cause analysis
- Stack trace analysis
- Memory leak detection
- Performance bottleneck identification
## Debugging Workflow
1. Create debugging plan with TodoWrite
2. Systematic issue investigation
3. Store findings in Memory
4. Track fix progress
5. Verify resolution
## Tools Integration
- Error log analysis
- Breakpoint simulation
- Variable inspection
- Call stack tracing
- Memory profiling