skills$openclaw/lg-thinq
kaiofreitas1.2k

by kaiofreitas

lg-thinq – OpenClaw Skill

lg-thinq is an OpenClaw Skills integration for coding workflows. Control LG smart appliances via ThinQ API. Use when user asks about their fridge, washer, dryer, AC, or other LG appliances. Supports checking status, changing temperature, toggling modes (express, eco), and monitoring door status.

1.2k stars2.1k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

namelg-thinq
descriptionControl LG smart appliances via ThinQ API. Use when user asks about their fridge, washer, dryer, AC, or other LG appliances. Supports checking status, changing temperature, toggling modes (express, eco), and monitoring door status. OpenClaw Skills integration.
ownerkaiofreitas
repositorykaiofreitas/lg-thinq
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @kaiofreitas/lg-thinq
last updatedFeb 7, 2026

Maintainer

kaiofreitas

kaiofreitas

Maintains lg-thinq in the OpenClaw Skills directory.

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4 files
.
scripts
thinq.py
10.1 KB
_meta.json
273 B
SKILL.md
2.5 KB
SKILL.md

name: lg-thinq description: "Control LG smart appliances via ThinQ API. Use when user asks about their fridge, washer, dryer, AC, or other LG appliances. Supports checking status, changing temperature, toggling modes (express, eco), and monitoring door status." metadata: {"version":"1.0.0","clawdbot":{"emoji":"🧊","os":["darwin","linux"]}}

LG ThinQ Skill

Control LG smart home appliances via the ThinQ Connect API.

Setup

  1. Get a Personal Access Token from https://connect-pat.lgthinq.com
  2. Store token: echo "YOUR_TOKEN" > ~/.config/lg-thinq/token
  3. Store country code: echo "MX" > ~/.config/lg-thinq/country

Quick Commands

All scripts are in the skill's scripts/ directory. Activate venv first:

cd ~/clawd && source .venv/bin/activate

List Devices

python3 skills/lg-thinq/scripts/thinq.py devices

Get Device Status

python3 skills/lg-thinq/scripts/thinq.py status <device_id>
python3 skills/lg-thinq/scripts/thinq.py status fridge  # alias

Control Refrigerator

# Set fridge temperature (0-6°C)
python3 skills/lg-thinq/scripts/thinq.py fridge-temp 3

# Set freezer temperature (-24 to -14°C typical)
python3 skills/lg-thinq/scripts/thinq.py freezer-temp -15

# Toggle express fridge
python3 skills/lg-thinq/scripts/thinq.py express-fridge on|off

# Toggle express freeze
python3 skills/lg-thinq/scripts/thinq.py express-freeze on|off

# Toggle eco mode
python3 skills/lg-thinq/scripts/thinq.py eco on|off

Washer/Dryer Status

python3 skills/lg-thinq/scripts/thinq.py status washer
python3 skills/lg-thinq/scripts/thinq.py status dryer

Supported Devices

DeviceStatusControl
Refrigerator✅ temp, door, modes✅ temp, express, eco
WashTower Washer✅ state, time⚠️ limited
WashTower Dryer✅ state, time⚠️ limited
Air Conditioner✅ temp, mode✅ temp, mode, fan

Temperature Ranges

  • Fridge: 0°C to 6°C
  • Freezer: -24°C to -14°C (varies by model)

Error Handling

  • NOT_CONNECTED_DEVICE: Device offline, check WiFi or open ThinQ app
  • INVALID_COMMAND_ERROR: Wrong command format or value out of range
  • NOT_PROVIDED_FEATURE: Feature not supported by this model

Natural Language Examples

User says → Action:

  • "check my fridge" → status fridge
  • "set fridge to 5 degrees" → fridge-temp 5
  • "turn on express freeze" → express-freeze on
  • "is the fridge door open?" → status fridge (check doorStatus)
  • "how's the washer doing?" → status washer
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install lg-thinq?

Run openclaw add @kaiofreitas/lg-thinq in your terminal. This installs lg-thinq into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/kaiofreitas/lg-thinq. Review commits and README documentation before installing.