apartment-room-locator

Integrate Hue presence data with camera snapshots to infer a room and output structured JSON.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/gevrey/openclaw_backup --skill apartment-room-locator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: apartment-room-locator
Source: https://github.com/gevrey/openclaw_backup/tree/main/skills/apartment-room-locator
Command: npx skills add https://github.com/gevrey/openclaw_backup --skill apartment-room-locator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Estimate Christophe's current room using local Hue presence sensors plus optional D-Link/EZVIZ snapshots for verification when asked questions like “which room am I in?”.

Core Features & Use Cases

  • Pull live Hue state and infer likely room from motion recency and presence signals.
  • Capture camera snapshots for cross-check and report confidence with evidence.
  • Output a structured JSON including inferred room, confidence, basis, and signal observations.

Quick Start

Execute the locate_room.py script with --capture-dlink and/or --capture-ezviz to produce a JSON result.

Frequently Asked Questions about apartment-room-locator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect which room someone is in using Hue presence sensors?

Detect which room someone is in by pulling live Hue presence sensor data and evaluating motion recency. The system infers the likely room from active presence signals and outputs structured JSON with confidence scoring.

Can I use D-Link and EZVIZ camera snapshots to verify room presence?

Yes, you can use D-Link and EZVIZ camera snapshots to verify room presence. The script captures IP camera snapshots as cross-check evidence alongside Hue sensor data to improve inference accuracy and report confidence.

What is the best way to combine motion sensors and camera snapshots for room inference?

The best way to combine motion sensors and camera snapshots for room inference is integrating live Hue state with optional D-Link or EZVIZ captures. This produces structured JSON including inferred room, confidence score, signal observations, and evidence basis.

How do I run a room detection script with camera capture flags?

Run room detection by executing the locate_room.py script with --capture-dlink and --capture-ezviz flags. This triggers local scripts to pull Hue state, capture IP camera snapshots, and output structured JSON with inference, signals, and captures.

Does room detection with local sensors work in apartment-scale environments?

Room detection with local sensors is designed for apartment-scale environments where Hue motion sensors and IP cameras exist. It enables real-time room inference by evaluating presence signals and motion recency within this spatial context.