Device info
Instructions
Call the run_intent tool with intent device_info and parameters {}.
Answer only from the returned facts, in at most three short sentences. Never guess hardware details.
Device Info
Organizationgoogle-ai-edge
device-info
Say which models, backends and accelerators this app is running and how much memory the device has.
Overview
| Publisher | google-ai-edge |
| Repository | litert-samples |
| Skill name | device-info |
| Stars | 470 |
| Forks | 124 |
| Bundled files | Instructions only |
| License | Apache-2.0 |
| 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.
- Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
- Open source
Published by google-ai-edge on GitHub. Read the source before you install it.
Installation
Install the Device Info 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.
- Open the app and go to Plugins → Skills.
- Choose "Install from GitHub".
- Paste the skill folder URL below and confirm.
https://github.com/google-ai-edge/litert-samples/tree/main/samples/litert/flutter/assets/skills/device-info - Enable the skill in any chat where you want it available.
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/google-ai-edge/litert-samples.git /tmp/litert-samples
mkdir -p .claude/skills
cp -r /tmp/litert-samples/samples/litert/flutter/assets/skills/device-info .claude/skills/device-infoRestart Claude Code after copying so it picks up the new skill.
Use it in TypingMind
Enable Device Info 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.
Works with any AI model
AI skills are plain Markdown instructions rather than provider-specific code, so Device Info 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.
Frequently asked questions
What does the Device Info AI skill do?
Say which models, backends and accelerators this app is running and how much memory the device has.
Why use Device Info on TypingMind?
Because you install it once and use it with any model. Device Info 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 Device Info in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/google-ai-edge/litert-samples/tree/main/samples/litert/flutter/assets/skills/device-info. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use Device Info?
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 Device Info?
As many as you like. As long as a model supports skills, you can use Device Info with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Device Info AI skill free?
Yes. It is published on GitHub by google-ai-edge under the Apache-2.0 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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