skills$openclaw/mijia
hqman30

by hqman

mijia – OpenClaw Skill

mijia is an OpenClaw Skills integration for coding workflows. 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.

30 stars2.2k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

namemijia
descriptionControl 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. OpenClaw Skills integration.
ownerhqman
repositoryhqman/mijia
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @hqman/mijia
last updatedFeb 7, 2026

Maintainer

hqman

hqman

Maintains mijia in the OpenClaw Skills directory.

View GitHub profile
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6 files
.
scripts
lamp_cli.py
4.0 KB
_meta.json
439 B
pyproject.toml
316 B
README.md
3.5 KB
SKILL.md
3.0 KB
SKILL.md

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
  1. Set your device ID as an environment variable:
export MIJIA_LAMP_DID="your_device_id"
  1. 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:

User SaysCommand
Turn on the light / open lampscripts/lamp_cli.py on
Turn off the light / close lampscripts/lamp_cli.py off
Toggle the lightscripts/lamp_cli.py toggle
Brighter / more brightCheck status first, then increase by 20-30%
Dimmer / less brightCheck status first, then decrease by 20-30%
Full brightness / maximumscripts/lamp_cli.py brightness 100
Minimum brightnessscripts/lamp_cli.py brightness 1
Warm lightscripts/lamp_cli.py temp 2700
Cool light / white lightscripts/lamp_cli.py temp 6500
Reading modescripts/lamp_cli.py mode reading
Computer modescripts/lamp_cli.py mode computer
Night modescripts/lamp_cli.py mode night
Lamp status / what's the light statusscripts/lamp_cli.py status

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
README.md

Mijia Smart Home Control

A skill/plugin for AI coding agents to control Xiaomi Mijia smart home devices through natural language commands.

Demo

Works with:

Features

  • Control Xiaomi Mijia smart devices via natural language
  • Support for desk lamps, smart plugs, and other Mijia devices
  • Brightness and color temperature adjustment
  • Multiple lighting modes (reading, computer, night, etc.)
  • Easy to extend for additional device types

Prerequisites

  • Python 3.13+
  • uv package manager
  • Xiaomi account with Mijia devices

Installation

  1. Clone this repository:
git clone https://github.com/user/mijia-skill.git
cd mijia-skill
  1. Install dependencies:
uv sync
  1. Configure your device ID:
export MIJIA_LAMP_DID="your_device_id"
  1. First run will prompt for Xiaomi account login via QR code.

Finding Your Device ID

Use the mijia-api library to find your device IDs:

from mijiaAPI import mijiaAPI

api = mijiaAPI()
api.login()  # Scan QR code to login
devices = api.get_device_list()
for device in devices:
    print(f"{device['name']}: {device['did']}")

Environment Variables

VariableDescription
MIJIA_LAMP_DIDDevice ID for the desk lamp

Usage

CLI Commands

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

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

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

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

# Lighting modes
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 Examples

Once integrated with your AI coding agent, you can use natural language:

  • "Turn on the light" / "Turn off the light"
  • "Make it brighter" / "Make it dimmer"
  • "Set brightness to 80%"
  • "Switch to reading mode"
  • "Warm light please" / "Cool white light"
  • "What's the lamp status?"

Integration

Claude Code

Copy the skill to your Claude Code skills directory:

cp -r . ~/.clawdbot/skills/mijia

Other AI Agents

Add the SKILL.md content to your agent's system prompt or tool configuration. The skill provides:

  • Device control commands
  • Natural language mapping table
  • Usage instructions

Extending

You can extend this skill to support more device types. See scripts/lamp_cli.py for an example implementation.

The mijia-api library supports:

  • Smart plugs
  • Air purifiers
  • Vacuum cleaners
  • Rice cookers
  • Door locks
  • And more Mijia devices

Credits

Built on top of mijia-api by Do1e.

License

MIT License

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 mijia?

Run openclaw add @hqman/mijia in your terminal. This installs mijia 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/hqman/mijia. Review commits and README documentation before installing.