tuya/tuya-openclaw-skills

Tuya AI Skill Library for OpenClaw/TuyaClaw - An AI-driven skill set built for the development of Tuya's smart ecosystem (e.g., device control).

What it solves

It enables AI Agents to interact with and control a vast ecosystem of smart home hardware. By providing a standardized interface to Tuya's end-user APIs, it removes the need for developers to build individual integrations for thousands of different smart devices, allowing agents to manage homes using natural language.

How it works

The project acts as a "skill" for the OpenClaw platform. It uses a Python-based SDK and a WebSocket client to communicate with Tuya's cloud infrastructure. It maps natural language requests to specific REST API calls for device control (like adjusting brightness or temperature) and uses WebSockets to monitor real-time device status changes, which can then trigger further agent actions.

Who it’s for

Developers building AI agents that require physical-world interaction, specifically those wanting to integrate smart home automation, device monitoring, and environmental queries (like weather) into their agent's capabilities.

Highlights

  • Massive Device Support: Access to over 3,000 smart hardware categories across 200+ countries.
  • Multimodal Interaction: Supports not only device control but also IPC camera snapshots and short video captures for visual recognition.
  • Real-time Monitoring: Includes a WebSocket client for event-driven automation based on device property changes or online/offline status.
  • Integrated Services: Built-in capabilities for weather forecasts and multi-channel notifications (SMS, email, voice, and app push).

Related

  • Project
    openhome-dev/abilities

    OpenHome Abilities is a collection of open-source voice-AI plugins that extend the OpenHome agent with new capabilities like web search, music playback, smart-home control, and more. It provides templates, official and community abilities, and a CLI to build and share your own.

  • Project
    microsoft/conductor

    Conductor is a Microsoft‑maintained CLI that lets you define deterministic, version‑controlled multi‑agent AI workflows in YAML and run them with providers like GitHub Copilot or Anthropic Claude. It offers parallel execution, sub‑workflow composition, human‑in‑the‑loop gates, a web dashboard, a TUI fleet manager, and OpenTelemetry tracing, all installable via a one‑liner script or standard Python tools.

  • Project
    flytohub/flyto-core

    Flyto2 is a Python execution engine that automates multi-step computer tasks — opening websites, calling APIs, working with files, and more — via 482 modules and 41 built-in recipes. It also connects to real robots (like TurtleBot3 via ROS 2) through a separate adapter, and keeps a verifiable record of every step.

  • Project
    jumodada/Drissionpage-MCP-Server

    A Model Context Protocol (MCP) server that provides AI models with 69 precise browser automation tools for navigating, interacting with, and extracting data from the web.