Cross Domain Seeing

Community

Dragoon0x

cross-domain-seeing

Pull design principles from architecture, fashion, film, industrial design, and physical spaces into screen-based design. Use when seeking inspiration beyond digital, expanding creative range, or building cross-disciplinary design vocabulary.

Overview

Publisher	Dragoon0x
Repository	`taste-skills`
Skill name	`cross-domain-seeing`
Stars	6
Forks	3
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Dragoon0x on GitHub. Read the source before you install it.

Installation

Install the Cross Domain Seeing 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/Dragoon0x/taste-skills/tree/main/skills/perception/cross-domain-seeing
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/Dragoon0x/taste-skills/tree/main/skills/perception/cross-domain-seeing

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/Dragoon0x/taste-skills.git /tmp/taste-skills
mkdir -p .claude/skills
cp -r /tmp/taste-skills/skills/perception/cross-domain-seeing .claude/skills/cross-domain-seeing

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

Use it in TypingMind

Enable Cross Domain Seeing 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 Cross Domain Seeing 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 Cross Domain Seeing 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.

Cross-Domain Seeing

Learn design principles from everything that isn't a screen.

How to use

/cross-domain-seeing Apply cross-domain observation principles to this conversation.
/cross-domain-seeing <domain> Extract design principles from a specific non-digital domain.

Constraints

Transferable Principles

MUST identify the underlying principle, not the surface aesthetic
MUST translate observations into screen-applicable language
"The museum uses a single material palette with one contrast accent" becomes "restrained palette with one accent color"
"The restaurant spaces tables far apart" becomes "generous whitespace signals premium positioning"
NEVER copy an aesthetic literally. Extract the principle and reapply it.

Domains to Draw From

Architecture: spatial hierarchy, material relationships, light direction, density vs. openness
Fashion: proportion, rhythm, texture contrast, restraint, the role of fit
Film: pacing, focal point, color grading, tension, the cut as a design decision
Industrial design: form following function, material honesty, ergonomics as interface
Music: rhythm, dynamics, silence as design element, tension and resolution

Anti-Patterns

Saying "inspired by Japanese minimalism" without naming the specific principle
Collecting cross-domain references without connecting them to design problems
Using architectural terms as jargon rather than genuine analytical tools

Frequently asked questions

What does the Cross Domain Seeing AI skill do?

Why use Cross Domain Seeing on TypingMind?

Because you install it once and use it with any model. Cross Domain Seeing 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 Cross Domain Seeing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dragoon0x/taste-skills/tree/main/skills/perception/cross-domain-seeing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cross Domain Seeing?

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 Cross Domain Seeing?

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

Is the Cross Domain Seeing AI skill free?

Yes. It is published on GitHub by Dragoon0x 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

Cross-Domain Seeing

How to use

Constraints

Transferable Principles

Domains to Draw From

Anti-Patterns

Frequently asked questions

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