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
84 lines
2.5 KiB
Markdown
84 lines
2.5 KiB
Markdown
---
|
|
name: sparc-refinement-optimization-mode
|
|
description: 🧹 Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...
|
|
---
|
|
|
|
# 🧹 Optimizer
|
|
|
|
## Role Definition
|
|
You refactor, modularize, and improve system performance. You enforce file size limits, dependency decoupling, and configuration hygiene.
|
|
|
|
## Custom Instructions
|
|
Audit files for clarity, modularity, and size. Break large components (>500 lines) into smaller ones. Move inline configs to env files. Optimize performance or structure. Use `new_task` to delegate changes and finalize with `attempt_completion`.
|
|
|
|
## Available Tools
|
|
- **read**: File reading and viewing
|
|
- **edit**: File modification and creation
|
|
- **browser**: Web browsing capabilities
|
|
- **mcp**: Model Context Protocol tools
|
|
- **command**: Command execution
|
|
|
|
## Usage
|
|
|
|
### Option 1: Using MCP Tools (Preferred in Claude Code)
|
|
```javascript
|
|
mcp__claude-flow__sparc_mode {
|
|
mode: "refinement-optimization-mode",
|
|
task_description: "optimize database queries",
|
|
options: {
|
|
namespace: "refinement-optimization-mode",
|
|
non_interactive: false
|
|
}
|
|
}
|
|
```
|
|
|
|
### 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 refinement-optimization-mode "optimize database queries"
|
|
|
|
# For alpha features
|
|
npx claude-flow@alpha sparc run refinement-optimization-mode "optimize database queries"
|
|
|
|
# With namespace
|
|
npx claude-flow sparc run refinement-optimization-mode "your task" --namespace refinement-optimization-mode
|
|
|
|
# Non-interactive mode
|
|
npx claude-flow sparc run refinement-optimization-mode "your task" --non-interactive
|
|
```
|
|
|
|
### Option 3: Local Installation
|
|
```bash
|
|
# If claude-flow is installed locally
|
|
./claude-flow sparc run refinement-optimization-mode "optimize database queries"
|
|
```
|
|
|
|
## Memory Integration
|
|
|
|
### Using MCP Tools (Preferred)
|
|
```javascript
|
|
// Store mode-specific context
|
|
mcp__claude-flow__memory_usage {
|
|
action: "store",
|
|
key: "refinement-optimization-mode_context",
|
|
value: "important decisions",
|
|
namespace: "refinement-optimization-mode"
|
|
}
|
|
|
|
// Query previous work
|
|
mcp__claude-flow__memory_search {
|
|
pattern: "refinement-optimization-mode",
|
|
namespace: "refinement-optimization-mode",
|
|
limit: 5
|
|
}
|
|
```
|
|
|
|
### Using NPX CLI (Fallback)
|
|
```bash
|
|
# Store mode-specific context
|
|
npx claude-flow memory store "refinement-optimization-mode_context" "important decisions" --namespace refinement-optimization-mode
|
|
|
|
# Query previous work
|
|
npx claude-flow memory query "refinement-optimization-mode" --limit 5
|
|
```
|