automation

magic-areas

Name: magic-areas
Author: jseidl

Smart areas with batteries included for Home Assistant

523 stars+1★ this week44 forksPythonUpdated 10/19/2026100% free · open source

What it does

Adds a Home Assistant integration that creates virtual ‘smart areas’ which automatically aggregate the state of battery‑powered devices within a defined space.

When to use it

•You want a single entity that reflects the overall battery health of all sensors in a room (e.g., all temperature sensors in the kitchen).
•You need to trigger automations based on the lowest battery level inside a zone (e.g., send a reminder when any door sensor in the garage is <20%).
•You’d like to see a concise battery‑status dashboard for each area without manually grouping entities.

Ready-to-paste prompt

In Home Assistant’s Developer Tools → Services, call the service `magic_areas.update_area` with:
```yaml
entity_id: sensor.living_room_battery
area: Living Room
```to force a refresh of the aggregated battery value after adding new devices.

Heads up: The integration only works with Home Assistant Core 2023.8 or newer; older versions will fail to load the component.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/magic-areas && curl -fsSL https://workflowstacks.com/api/skills/magic-areas/claude-skill -o ~/.claude/skills/magic-areas/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How magic-areas works

Codeflow

Free to inspect

Magic-areas is a medium Python project (~6.6k lines across 29 code files, plus 20 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, has a test suite.

Size

Medium codebase

~6.6k lines · 29 code files · 55 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
pyproject.toml
Dependencies and the commands it exposes

What's in each folder

docs/Documentation30 files

custom_components/Folder39 files

scripts/Helper scripts4 files

config/Configuration1 files

tests/Tests — proof it works20 files

.github/CI / automation (GitHub Actions)10 files

assets/Images & static assets4 files

.vscode/Editor / agent settings2 files

READMEHas testsDocumentedCI checksMIT licenseUpdated this month