Control WLED LED controllers via HTTP API. Use when a user asks to control WLED lights, LED strips, or ESP-based LED controllers. Supports power on/off, brightness, colors (RGB), effects, palettes, presets, and device status.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install wledOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install wledβ 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/wled/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Wled can do for your AI workflow
Wled led controllers via http directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,995+ developers worldwide
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 Wled
Help me get started with Wled
Explains what Wled does, walks through the setup, and runs a quick demo based on your current project
Use Wled to control WLED LED controllers via HTTP API
Invokes Wled with the right parameters and returns the result directly in the conversation
What can I do with Wled in my developer & devops workflow?
Lists the top use cases for Wled, with example commands for each scenario
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Wled extends your AI assistant with the ability to control WLED LED controllers via HTTP API. Use when a user asks to control WLED lights, LED strips, or ESP-based LED controllers. Supports power on/off, brightness, colors (RGB), effects, palettes, presets, and device status. 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 Wled as its underlying capability.
Wled 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 Wled 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.
Getting started with Wled takes about two minutes. Place the skill at `~/.claude/skills/wled/` (personal, all projects) or `.claude/skills/wled/` (project-specific), then restart your AI client. From that point, typing `/wled` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Wled has been installed 1,995 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/wled/ for personal use (all projects), or .claude/skills/wled/ for project-specific use. Restart your AI client, then invoke with /wled or let the AI discover it automatically.
Wled supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Wled is free to install. Check the repository for licensing information.
Control WLED LED controllers via HTTP API. Use when a user asks to control WLED lights, LED strips, or ESP-based LED controllers. Supports power on/off, brightness, colors (RGB), effects, palettes, presets, and device status.
Automate my developer & devops tasks using Wled
Identifies repetitive steps in your workflow and sets up Wled to handle them automatically
Wled is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.