Local control of Philips Hue lights via API v1.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install philips-hueOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install philips-hueβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/philips-hue/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Philips Hue can do for your AI workflow
Local control of philips hue directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Philips Hue
Help me get started with Philips Hue
Explains what Philips Hue does, walks through the setup, and runs a quick demo based on your current project
Use Philips Hue to local control of Philips Hue lights via API v1
Invokes Philips Hue with the right parameters and returns the result directly in the conversation
What can I do with Philips Hue in my developer & devops workflow?
Lists the top use cases for Philips Hue, with example commands for each scenario
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Philips Hue extends your AI assistant with the ability to local control of Philips Hue lights via API v1. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Philips Hue as its underlying capability.
Philips Hue works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Philips Hue once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Philips Hue installs like any other MCP skill: drop the folder into `~/.claude/skills/philips-hue/` for global access, or `.claude/skills/philips-hue/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/philips-hue`, or let the AI decide when it's the right tool for your request.
Philips Hue has 658 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/philips-hue/ for personal use (all projects), or .claude/skills/philips-hue/ for project-specific use. Restart your AI client, then invoke with /philips-hue or let the AI discover it automatically.
Philips Hue supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Philips Hue is free to install. Check the repository for licensing information.
Local control of Philips Hue lights via API v1.
Links
Automate my developer & devops tasks using Philips Hue
Identifies repetitive steps in your workflow and sets up Philips Hue to handle them automatically
Philips Hue is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.