6ed69a3d48
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
55 lines
1.1 KiB
Markdown
55 lines
1.1 KiB
Markdown
# SPARC Reviewer Mode
|
|
|
|
## Purpose
|
|
Code review using batch file analysis for comprehensive reviews.
|
|
|
|
## Activation
|
|
|
|
### Option 1: Using MCP Tools (Preferred in Claude Code)
|
|
```javascript
|
|
mcp__claude-flow__sparc_mode {
|
|
mode: "reviewer",
|
|
task_description: "review pull request #123",
|
|
options: {
|
|
security_check: true,
|
|
performance_check: 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 reviewer "review pull request #123"
|
|
|
|
# For alpha features
|
|
npx claude-flow@alpha sparc run reviewer "review pull request #123"
|
|
```
|
|
|
|
### Option 3: Local Installation
|
|
```bash
|
|
# If claude-flow is installed locally
|
|
./claude-flow sparc run reviewer "review pull request #123"
|
|
```
|
|
|
|
## Core Capabilities
|
|
- Code quality assessment
|
|
- Security review
|
|
- Performance analysis
|
|
- Best practices check
|
|
- Documentation review
|
|
|
|
## Review Criteria
|
|
- Code correctness
|
|
- Design patterns
|
|
- Error handling
|
|
- Test coverage
|
|
- Maintainability
|
|
|
|
## Batch Analysis
|
|
- Parallel file review
|
|
- Pattern detection
|
|
- Dependency checking
|
|
- Consistency validation
|
|
- Automated reporting
|