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
1.2 KiB
Markdown
55 lines
1.2 KiB
Markdown
# SPARC Researcher Mode
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## Purpose
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Deep research with parallel WebSearch/WebFetch and Memory coordination.
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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: "researcher",
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task_description: "research AI trends 2024",
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options: {
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depth: "comprehensive",
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sources: ["academic", "industry", "news"]
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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 researcher "research AI trends 2024"
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# For alpha features
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npx claude-flow@alpha sparc run researcher "research AI trends 2024"
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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 researcher "research AI trends 2024"
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```
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## Core Capabilities
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- Information gathering
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- Source evaluation
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- Trend analysis
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- Competitive research
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- Technology assessment
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## Research Methods
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- Parallel web searches
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- Academic paper analysis
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- Industry report synthesis
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- Expert opinion gathering
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- Data compilation
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## Memory Integration
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- Store research findings
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- Build knowledge graphs
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- Track information sources
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- Cross-reference insights
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- Maintain research history
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