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
112 lines
2.1 KiB
Markdown
112 lines
2.1 KiB
Markdown
# hook pre-task
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Execute pre-task preparations and context loading.
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## Usage
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```bash
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npx claude-flow hook pre-task [options]
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```
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## Options
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- `--description, -d <text>` - Task description for context
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- `--auto-spawn-agents` - Automatically spawn required agents (default: true)
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- `--load-memory` - Load relevant memory from previous sessions
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- `--optimize-topology` - Select optimal swarm topology
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- `--estimate-complexity` - Analyze task complexity
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## Examples
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### Basic pre-task hook
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```bash
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npx claude-flow hook pre-task --description "Implement user authentication"
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```
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### With memory loading
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```bash
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npx claude-flow hook pre-task -d "Continue API development" --load-memory
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```
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### Manual agent control
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```bash
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npx claude-flow hook pre-task -d "Debug issue #123" --auto-spawn-agents false
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```
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### Full optimization
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```bash
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npx claude-flow hook pre-task -d "Refactor codebase" --optimize-topology --estimate-complexity
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```
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## Features
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### Auto Agent Assignment
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- Analyzes task requirements
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- Determines needed agent types
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- Spawns agents automatically
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- Configures agent parameters
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### Memory Loading
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- Retrieves relevant past decisions
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- Loads previous task contexts
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- Restores agent configurations
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- Maintains continuity
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### Topology Optimization
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- Analyzes task structure
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- Selects best swarm topology
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- Configures communication patterns
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- Optimizes for performance
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### Complexity Estimation
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- Evaluates task difficulty
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- Estimates time requirements
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- Suggests agent count
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- Identifies dependencies
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## Integration
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This hook is automatically called by Claude Code when:
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- Starting a new task
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- Resuming work after a break
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- Switching between projects
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- Beginning complex operations
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Manual usage in agents:
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```bash
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# In agent coordination
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npx claude-flow hook pre-task --description "Your task here"
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```
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## Output
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Returns JSON with:
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```json
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{
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"continue": true,
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"topology": "hierarchical",
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"agentsSpawned": 5,
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"complexity": "medium",
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"estimatedMinutes": 30,
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"memoryLoaded": true
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}
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```
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## See Also
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- `hook post-task` - Post-task cleanup
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- `agent spawn` - Manual agent creation
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- `memory usage` - Memory management
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- `swarm init` - Swarm initialization
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