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
20 lines
565 B
Bash
Executable File
20 lines
565 B
Bash
Executable File
#!/bin/bash
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# Quick start guide for Claude Flow
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echo "🚀 Claude Flow Quick Start"
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echo "=========================="
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echo ""
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echo "1. Initialize a swarm:"
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echo " npx claude-flow swarm init --topology hierarchical"
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echo ""
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echo "2. Spawn agents:"
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echo " npx claude-flow agent spawn --type coder --name "API Developer""
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echo ""
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echo "3. Orchestrate tasks:"
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echo " npx claude-flow task orchestrate --task "Build REST API""
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echo ""
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echo "4. Monitor progress:"
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echo " npx claude-flow swarm monitor"
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echo ""
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echo "📚 For more examples, see .claude/commands/"
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