Environmental Skill

Community

zeenie-ai

environmental-skill

Get Android environmental sensor data - temperature, humidity, pressure, and ambient light level.

Overview

Publisher	zeenie-ai
Repository	`OpenCompany`
Skill name	`environmental-skill`
Stars	912
Forks	137
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Environmental Skill 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.
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/zeenie-ai/OpenCompany/tree/main/server/skills/android_agent/environmental-skill

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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/android_agent/environmental-skill .claude/skills/environmental-skill

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

Use it in TypingMind

Enable Environmental Skill 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 Environmental Skill 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 Environmental Skill 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.

Environmental Sensors Tool

Access environmental sensors on Android device.

How It Works

This skill provides instructions for the Environmental Sensors tool node. Connect the Environmental Sensors node to Zeenie's input-tools handle to enable environmental sensing.

environmental_sensors Tool

Get temperature, humidity, pressure, and light data.

Schema Fields

Field	Type	Required	Description
action	string	Yes	`"status"` - Get sensor data

Example

Get environmental data:

json
{
  "action": "status"
}

Response Format

json
{
  "success": true,
  "service": "environmental_sensors",
  "action": "status",
  "data": {
    "temperature": 23.5,
    "humidity": 45.0,
    "pressure": 1013.25,
    "light": 350.0,
    "sensors_available": {
      "temperature": true,
      "humidity": true,
      "pressure": true,
      "light": true
    }
  }
}

Response Fields

Field	Type	Unit	Description
temperature	float	Celsius	Ambient temperature
humidity	float	%	Relative humidity
pressure	float	hPa	Atmospheric pressure
light	float	lux	Ambient light level
sensors_available	object	-	Which sensors exist

Sensor Availability

Not all devices have all sensors. Check sensors_available to see what's supported.

Light Level Guide

Lux	Condition
< 50	Dark/dim room
50-300	Indoor lighting
300-1000	Bright indoor
1000-10000	Overcast outdoor
10000-100000	Direct sunlight

Temperature Notes

Device temperature sensor may be affected by device heat
For accurate ambient temperature, device should be idle
Some devices don't have temperature sensor

Pressure Guide

hPa	Weather
< 1000	Low pressure (storms)
1000-1020	Normal
> 1020	High pressure (clear)

Use Cases

Use Case	Sensor	Description
Weather tracking	pressure	Monitor local pressure
Humidity alert	humidity	Warn on high/low humidity
Light-based actions	light	Trigger on dark/bright
Temperature monitoring	temperature	Track ambient temp

Common Workflows

Auto-brightness trigger

Read light level
If light < 100, suggest dark mode
If light > 1000, suggest bright mode

Environment monitoring

Periodically read all sensors
Log data points
Alert on thresholds

Weather correlation

Track pressure over time
Correlate with weather changes
Predict weather patterns

Limitations

Sensor availability varies by device model
Temperature sensor may read higher due to device heat
Indoor pressure differs from outdoor
Light sensor is typically near front camera

Setup Requirements

Connect the Environmental Sensors node to Zeenie's input-tools handle
Android device must be paired
Sensors depend on device hardware

Frequently asked questions

What does the Environmental Skill AI skill do?

Get Android environmental sensor data - temperature, humidity, pressure, and ambient light level.

Why use Environmental Skill on TypingMind?

Because you install it once and use it with any model. Environmental Skill 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 Environmental Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/android_agent/environmental-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Environmental Skill?

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 Environmental Skill?

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

Is the Environmental Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Environmental Sensors Tool

How It Works

environmental_sensors Tool

Schema Fields

Example

Response Format

Response Fields

Sensor Availability

Light Level Guide

Temperature Notes

Pressure Guide

Use Cases

Common Workflows

Auto-brightness trigger

Environment monitoring

Weather correlation

Limitations

Setup Requirements

Frequently asked questions

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