name: mijia description: Control Xiaomi Mijia smart home devices. Use this skill when the user wants to control desk lamps, smart plugs, or other Mijia devices. Supports turning lights on/off, adjusting brightness, setting color temperature, switching modes, and more. invocable: true

Mijia Smart Home Control

Control Xiaomi Mijia smart devices via the mijiaAPI.

Setup

Before using this skill, you need to:

1. Install dependencies:

cd /path/to/mijia-skill
uv sync

2. Set your device ID as an environment variable:

export MIJIA_LAMP_DID="your_device_id"

3. First run will prompt for Xiaomi account login via QR code.

Finding Device IDs

To find your device IDs, use the mijia-api library:

from mijiaAPI import mijiaAPI
api = mijiaAPI()
api.login()
devices = api.get_device_list()
for d in devices:
    print(f"{d['name']}: {d['did']}")

How to Use

Skill path: ~/.clawdbot/skills/mijia

Lamp Control Commands

# Navigate to skill directory
cd ~/.claude/skills/mijia

# Check status
uv run python scripts/lamp_cli.py status

# Turn on/off
uv run python scripts/lamp_cli.py on
uv run python scripts/lamp_cli.py off
uv run python scripts/lamp_cli.py toggle

# Adjust brightness (1-100%)
uv run python scripts/lamp_cli.py brightness 50

# Adjust color temperature (2700-6500K)
uv run python scripts/lamp_cli.py temp 4000

# Set mode
uv run python scripts/lamp_cli.py mode reading    # Reading mode
uv run python scripts/lamp_cli.py mode computer   # Computer mode
uv run python scripts/lamp_cli.py mode night      # Night reading
uv run python scripts/lamp_cli.py mode antiblue   # Anti-blue light
uv run python scripts/lamp_cli.py mode work       # Work mode
uv run python scripts/lamp_cli.py mode candle     # Candle effect
uv run python scripts/lamp_cli.py mode twinkle    # Twinkle alert

Natural Language Understanding

When the user says the following, execute the corresponding command:

Before Executing

1. Navigate to skill directory: cd ~/.clawdbot/skills/mijia
2. Ensure MIJIA_LAMP_DID environment variable is set
3. Run with uv: uv run python scripts/lamp_cli.py <command>
4. Report the result to the user after execution