wifi_simulation

What problem does it solve?

The wifi_simulation skill automates end-to-end home WiFi environment testing by producing visual RSSI heatmaps and quantitative JSON matrices to help plan AP placement and provisioning strategies.

Core Features & Use Cases

• Self-contained simulation engine: accepts house presets, AP counts, and grid resolutions to compare configurations, outputting two comparison PNGs (RSSI and stall) and four JSON matrices (before/after RSSI and stall).
• Provisioning-aware: supports scenario steps such as adding APs, adjusting grid size, and evaluating coverage improvements for different layouts.
• Output-driven: returns a structured payload including image_paths, data_paths, per-run stats, and a concise summary for quick decision making.
• Use Case: A network operator compares a 1AP to 3AP upgrade in a large apartment to quantify RSSI uplift and latency changes.

Quick Start

Run the wifi_simulation script with a single JSON parameter string to generate the two PNGs and four JSON matrices.