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Emporia Energy

Community
viralcode
emporia-energy

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.

Overview

Publisherviralcode
Repositoryopenwhale
Skill nameemporia-energy
Stars
65
Forks
11
Bundled files
7
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Emporia Energy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/emporia-energy .claude/skills/emporia-energy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Emporia Energy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Emporia Energy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Emporia Energy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Emporia Energy Skill

Use the scripts in {baseDir}/scripts to query Emporia Vue data directly.

Modes are selected with EMPORIA_MODE:

  • cloud: Emporia cloud API via PyEmVue (like the Home Assistant integration)
  • esphome: Local ESPHome API (for flashed devices)

Choose a mode (cloud vs local)

  • Use cloud if your Emporia device is still on stock firmware or you want the simplest setup. Requires Emporia account credentials and internet access.
  • Use esphome only if the device is flashed with ESPHome and on your LAN. Requires the device IP/hostname and native API access on port 6053.

If you are unsure whether the device is ESPHome-flashed, choose cloud mode.

Environment

Cloud mode

  • EMPORIA_EMAIL
  • EMPORIA_PASSWORD

Optional:

  • EMPORIA_SCALE (MINUTE, SECOND, MINUTES_15, DAY, MONTH) - defaults to MINUTE

ESPHome mode

  • ESPHOME_HOST
  • ESPHOME_PORT (optional, default 6053)
  • ESPHOME_API_KEY (Noise PSK, base64) or ESPHOME_PASSWORD (legacy)

Configuration steps

Cloud:

  1. Set EMPORIA_MODE=cloud.
  2. Set EMPORIA_EMAIL and EMPORIA_PASSWORD.
  3. (Optional) Set EMPORIA_SCALE to control power vs energy units.
  4. Run list first to confirm channels, then summary or circuit <name>.

ESPHome:

  1. Ensure the device is flashed with ESPHome and on your LAN.
  2. Set EMPORIA_MODE=esphome.
  3. Set ESPHOME_HOST to the device IP/hostname (not Home Assistant).
  4. If the ESPHome node uses encryption, set ESPHOME_API_KEY (base64 Noise PSK).
  5. Run list first to confirm channels, then summary or circuit <name>.

Commands

The scripts accept:

  • summary (default)
  • list
  • circuit <name>

Usage

Cloud:

export EMPORIA_MODE=cloud
export EMPORIA_EMAIL="you@example.com"
export EMPORIA_PASSWORD="..."
python {baseDir}/scripts/emporia_cloud.py summary

ESPHome:

export EMPORIA_MODE=esphome
export ESPHOME_HOST="192.168.1.50"
export ESPHOME_API_KEY="base64-noise-psk"
python {baseDir}/scripts/emporia_esphome.py summary

Dependencies (pip by default)

Cloud:

python3 -m venv .venv
source .venv/bin/activate
pip install -r {baseDir}/requirements-cloud.txt

ESPHome:

python3 -m venv .venv
source .venv/bin/activate
pip install -r {baseDir}/requirements-esphome.txt

Optional: you can use uv instead of pip if preferred.

Output

Scripts emit JSON with:

  • timestamp
  • unit
  • total (best-effort)
  • top circuits
  • channels used

Safety

  • Never print secrets (passwords, tokens, keys).
  • Do not make hardware or panel wiring recommendations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Emporia Energy AI skill do?

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.

Why use Emporia Energy on TypingMind?

Because you install it once and use it with any model. Emporia Energy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Emporia Energy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/emporia-energy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Emporia Energy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Emporia Energy?

As many as you like. As long as a model supports skills, you can use Emporia Energy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Emporia Energy AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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