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ai-gaoqian

Smart Home Hub

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
41
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1
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0
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1
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Install in OpenClaw
/install smart-home-hub
Description
跨平台智能家居统一控制中心，支持Home Assistant / Apple HomeKit / Google Home / Amazon Alexa /小米米家等多生态聚合。通过自然语言管理灯光、温控、安防、能耗、场景联动，支持自动化编排与异常告警。
README (SKILL.md)

Smart Home Hub

跨平台智能家居统一控制中心，聚合Home Assistant、Apple HomeKit、Google Home、Amazon Alexa、小米米家等主流生态，提供自然语言驱动的全屋智能管理。

触发条件

  • "打开/关闭客厅灯"
  • "家里温度是多少"
  • "设置离家模式"
  • "谁在家门口"
  • "本月电费花了多少"
  • "创建晚安场景"
  • "XX设备离线了怎么办"

核心能力

能力 说明
设备控制 灯光/窗帘/空调/插座/门锁的开关、调节、状态查询
环境感知 温度/湿度/PM2.5/CO2/光照/人体存在传感器实时读取
场景编排 早安/晚安/离家/回家/观影/用餐等多设备联动场景
安防监控 摄像头画面调取、门窗传感器状态、异常闯入告警
能耗管理 按设备/房间/时段统计用电量，异常耗电预警
自动化规则 支持「如果-则」条件触发自动化创建和管理
设备诊断 离线设备排查、信号强度检测、固件版本检查
多平台聚合 同时管理Home Assistant / HomeKit / Alexa / Google Home / 米家

执行流程

  1. 接收用户自然语言指令
  2. 识别目标平台和设备类型
  3. 通过对应平台API查询/控制设备
  4. 复杂场景编排时先生成预览供用户确认
  5. 执行操作并返回状态确认
  6. 异常情况自动诊断并给出修复建议

输出格式

🏠 智能家居操作报告
━━━━━━━━━━━━━━━━━━━━━
操作: [具体操作描述]
平台: [平台名称]
设备: [设备列表]
状态: ✅ 成功 / ⚠️ 部分成功 / ❌ 失败
详情: [每台设备的具体执行结果]

场景编排示例

晚安场景: 关闭所有灯光 → 窗帘闭合 → 空调设为26°C睡眠模式 → 门锁确认上锁 → 安防设防 → 夜灯开启（亮度10%）

离家场景: 关闭所有灯光和电器 → 窗帘闭合 → 空调关闭 → 安防设防 → 扫地机器人开始工作

注意事项

  • 首次使用需配置各平台API密钥和访问地址
  • 场景编排修改前自动备份现有配置
  • 安防操作（门锁开闭、设防撤防）需二次确认
  • 能耗数据依赖智能插座/电表等硬件支持
Usage Guidance
Install only if you are comfortable giving an agent access to smart-home platforms. Configure least-privilege API tokens where possible, require confirmations for locks, alarm state, cameras, and automation edits, and review where any scene backups are stored.
Capability Assessment
✓ Purpose & Capability
The stated purpose is cross-platform smart-home control, and the listed capabilities match that purpose: device control, sensors, scenes, security monitoring, energy tracking, diagnostics, and platform aggregation.
ℹ Instruction Scope
The skill uses broad natural-language triggers for lights, temperature, scenes, cameras, energy, and diagnostics. Security actions are disclosed and the artifact says door-lock and alarm arm/disarm operations require secondary confirmation, but camera access and automation changes would still deserve careful user-side permission settings.
✓ Install Mechanism
The package contains only a markdown SKILL.md artifact and metadata; no executable installer, scripts, hidden files, or package code were present.
ℹ Credentials
Use of Home Assistant, Alexa, Google Home, HomeKit, and similar platform APIs is proportionate for the stated purpose. API keys and platform access addresses are disclosed as first-use requirements.
ℹ Persistence & Privilege
The artifact mentions backing up existing scene configuration before changes, which is purpose-aligned, but it does not define retention or storage location. No background worker, persistence mechanism, privilege escalation, or local credential/profile scraping is present in the artifact.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install smart-home-hub
  3. After installation, invoke the skill by name or use /smart-home-hub
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug smart-home-hub
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Smart Home Hub?

跨平台智能家居统一控制中心，支持Home Assistant / Apple HomeKit / Google Home / Amazon Alexa /小米米家等多生态聚合。通过自然语言管理灯光、温控、安防、能耗、场景联动，支持自动化编排与异常告警。 It is an AI Agent Skill for Claude Code / OpenClaw, with 41 downloads so far.

How do I install Smart Home Hub?

Run "/install smart-home-hub" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Smart Home Hub free?

Yes, Smart Home Hub is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Smart Home Hub support?

Smart Home Hub is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Smart Home Hub?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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