Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Smart home control for the Lofy AI assistant — scene modes (study, chill, sleep, morning, grind), device management via Home Assistant REST API, presence-based automation, natural language commands for lights, music, thermostat, and PC wake-on-LAN. Use when controlling smart home devices, activating scene modes, or managing home automation.
Smart home control for the Lofy AI assistant — scene modes (study, chill, sleep, morning, grind), device management via Home Assistant REST API, presence-based automation, natural language commands for lights, music, thermostat, and PC wake-on-LAN. Use when controlling smart home devices, activating scene modes, or managing home automation.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Controls smart home and computing environment via Home Assistant. Manages scene modes, device control, and presence-based actions.
{ "scenes": { "study": { "lights": { "desk_lamp": { "on": true, "brightness": 100, "color_temp": "cool" } }, "music": { "playlist": "lofi-focus", "volume": 25 }, "other": { "dnd": true } }, "chill": { "lights": { "desk_lamp": { "on": true, "brightness": 40, "color_temp": "warm" } }, "music": { "playlist": "chill-vibes", "volume": 35 }, "other": {} }, "sleep": { "lights": {}, "music": { "playlist": "white-noise", "volume": 15 }, "other": {} } }, "devices": { "desk_lamp": { "entity_id": "light.desk_lamp", "type": "light" }, "speaker": { "entity_id": "media_player.room_speaker", "type": "media_player" } }, "home_assistant": { "url": "http://homeassistant.local:8123", "token_env": "HA_TOKEN" } }
When user says "study mode", "chill mode", etc.: Read scene definition from data/home-config.json Execute each device command via Home Assistant API Confirm briefly: "Study mode ✓ — desk lamp bright, lo-fi on, DND"
# Light control curl -s -X POST "$HA_URL/api/services/light/turn_on" \ -H "Authorization: Bearer $HA_TOKEN" \ -H "Content-Type: application/json" \ -d '{"entity_id": "light.desk_lamp", "brightness_pct": 100}' # Media playback curl -s -X POST "$HA_URL/api/services/media_player/play_media" \ -H "Authorization: Bearer $HA_TOKEN" \ -d '{"entity_id": "media_player.speaker", "media_content_id": "spotify:playlist:xxx", "media_content_type": "playlist"}' # Wake-on-LAN curl -s -X POST "$HA_URL/api/services/wake_on_lan/send_magic_packet" \ -H "Authorization: Bearer $HA_TOKEN" \ -d '{"mac": "XX:XX:XX:XX:XX:XX"}'
"lights off" → turn off all lights "dim the lights" → all lights to 20% "play some music" → default to chill playlist "it's cold" → thermostat up 2°F "turn on my PC" → WOL packet "goodnight" → sleep mode "I'm heading out" → lights off, eco mode "I'm home" → scene based on time of day
Read data/home-config.json for device mappings and scenes Confirm actions in ONE short message If a device fails, report which one and suggest a fix Never execute "turn off all devices" without confirmation If Home Assistant is unreachable, report and suggest checking connection Device entity_ids must be configured by user — prompt if missing
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.