Direct Emporia Vue energy queries via Emporia cloud (PyEmVue) or local ESPHome API, including guidance on choosing/configuring cloud vs local modes and running list/summary/circuit commands.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install emporia-energyOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install emporia-energyβ 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/emporia-energy/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Emporia Energy can do for your AI workflow
Direct emporia vue energy directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,941+ 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 Emporia Energy
Help me get started with Emporia Energy
Explains what Emporia Energy does, walks through the setup, and runs a quick demo based on your current project
Use Emporia Energy to direct Emporia Vue energy queries via Emporia cloud (PyEmVue) or lo...
Invokes Emporia Energy with the right parameters and returns the result directly in the conversation
What can I do with Emporia Energy in my developer & devops workflow?
Lists the top use cases for Emporia Energy, with example commands for each scenario
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Emporia Energy extends your AI assistant with the ability to direct Emporia Vue energy queries via Emporia cloud (PyEmVue) or local ESPHome API, including guidance on choosing/configuring cloud vs local modes and running list/summary/circuit commands. 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 Emporia Energy as its underlying capability.
Emporia Energy 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 Emporia Energy 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.
Emporia Energy installs like any other MCP skill: drop the folder into `~/.claude/skills/emporia-energy/` for global access, or `.claude/skills/emporia-energy/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/emporia-energy`, or let the AI decide when it's the right tool for your request.
Emporia Energy has been installed 1,941 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/emporia-energy/ for personal use (all projects), or .claude/skills/emporia-energy/ for project-specific use. Restart your AI client, then invoke with /emporia-energy or let the AI discover it automatically.
Emporia Energy supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Emporia Energy is free to install. Check the repository for licensing information.
Direct Emporia Vue energy queries via Emporia cloud (PyEmVue) or local ESPHome API, including guidance on choosing/configuring cloud vs local modes and running list/summary/circuit commands.
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Emporia Energy is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.