Home Assistant

CommunityPopular

Anil-matcha

home-assistant

Read entity states and call services on your Home Assistant instance. Service calls are confirmed first. Trigger phrases: home assistant, smart home, turn on the light.

Overview

Publisher	Anil-matcha
Repository	`awesome-muse-connectors`
Skill name	`home-assistant`
Stars	1.4K
Forks	309
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/home-assistant
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/home-assistant

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/home-assistant .claude/skills/home-assistant

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Home Assistant 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 Home Assistant 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 Home Assistant 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.

Home Assistant

Purpose

Talk to the user's own Home Assistant instance: list entity states (states, optionally filtered by domain), read one entity (state), and call services (call: e.g. light.turn_on). The instance URL is passed with every command via --instance.

Tooling

All commands go through bin/home-assistant.py:

bash
bin/home-assistant.py --instance https://home.example.com states                  # all entity states (entity_id, state)
bin/home-assistant.py --instance https://home.example.com states --domain light   # lights only
bin/home-assistant.py --instance https://home.example.com state --entity light.living_room
bin/home-assistant.py --instance https://home.example.com call --domain light --service turn_on --entity light.living_room
bin/home-assistant.py --instance https://home.example.com call --domain climate --service set_temperature --entity climate.living_room --data '{"temperature": 22}'

Auth

Provider id: home-assistant (credential is collected as custom.home-assistant)
Collection: long-lived access token via the secure credential flow (credentials.request_api_access): create one in Home Assistant → your profile (bottom left) → Security → Long-Lived Access Tokens. Note: Home Assistant accepts tokens from any user account; for a shared household, a dedicated "automation" user keeps permissions clear.
Connect placement: bearer_header
Allowed hosts: the user's instance host (declared at connect time, e.g. home.example.com); the CLI derives it from --instance
Status check: bin/home-assistant.py --instance <url> states (a successful list proves the token works)

Operating Rules

call acts on the physical home (lights, locks, climate). Confirm the exact domain, service, entity, and parameters with the user before calling, unless standing permission exists.
Reading (states, state) needs no confirmation.
Keep --instance secret-adjacent: it names the user's home server. Do not post it anywhere public.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/home-assistant.py). Do not print, log, or transmit the token value.

Files

SKILL.md
bin/home-assistant.py

Maturity

🧪 Draft: written from Home Assistant's public REST API docs; not yet live-tested end-to-end.

Bundled files

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

bin/home-assistant.py5 KB

Frequently asked questions

What does the Home Assistant AI skill do?

Read entity states and call services on your Home Assistant instance. Service calls are confirmed first. Trigger phrases: home assistant, smart home, turn on the light.

Why use Home Assistant on TypingMind?

Because you install it once and use it with any model. Home Assistant 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 Home Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/home-assistant. 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 Home Assistant?

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 Home Assistant?

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

Is the Home Assistant AI skill free?

Yes. It is published on GitHub by Anil-matcha under the MIT license. 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.

View all

Change Impact

affaan-m

CommunityPopular

Perform evidence-backed impact analysis before changing code, data, interfaces, or governance documents, then compare the planned impact with the actual diff after implementation. Covers call paths,…

Test Collaboration

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing…

Product Capability

Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service…

Django Patterns

Patrones de arquitectura Django, diseño de API REST con DRF, buenas prácticas de ORM, caché, señales, middleware y aplicaciones Django de nivel producción.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Home Assistant

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now