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Design Os

Community
jangtrinh
design-os

Use when working with DESIGN:OS CLI — Multi-runtime design operating system and CLI for Claude Code, OpenAI Codex, Gemini CLI, and Google Antigravity.

Overview

Publisherjangtrinh
Repositorydesign-os
Skill namedesign-os
Stars
31
Forks
2
Bundled files
Instructions only
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 jangtrinh on GitHub. Read the source before you install it.

Installation

Install the Design Os 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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jangtrinh/design-os/tree/main/skills/design-os
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
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/jangtrinh/design-os.git /tmp/design-os
mkdir -p .claude/skills
cp -r /tmp/design-os/skills/design-os .claude/skills/design-os
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Design Os 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 Design Os 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 Design Os 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.

DESIGN:OS CLI (design-os)

Install once to equip any AI coding agent with 12+ domain design skills, deterministic verification gates, 2:1 axonometric art direction, and live Figma / SVG / 3D / SwiftUI / packaging workflows.

When to Use

Activate this skill when the user asks to:

  • "Initialize DESIGN:OS in this repo and wire our design tokens and verification gates for Claude Code and Codex."
  • "Audit our current frontend components against DESIGN:OS typography, spacing, and WCAG 2.2 AA contrast gates."
  • "Scaffold a new product landing page with 2:1 axonometric B&W technical illustrations and SEO/AEO/GEO metadata."

Progressive Disclosure Routing (What loads when)

  1. Always Loaded: skills/design-os/SKILL.md (this router — keeps context lean).
  2. On Demand — Prompt Recipes: Load docs/cookbook.md when selecting multi-step workflows or copy-paste prompt templates.
  3. On Demand — Diagnostics: Load commands/doctor.md or run python3 scripts/self_check.py when verifying installation or troubleshooting.
  4. On Demand — Ecosystem Discovery: Load llms.txt when cross-referencing companion DESIGN:OS engines.

Core Execution Workflow

  1. Inspect Context: Read the target repository or workspace constraints before mutating files.
  2. Execute Deterministically: Run npx @easestart/design-os init or npx @easestart/design-os doctor rather than guessing outputs freehand.
  3. Verify Quality Gates: Run python3 scripts/self_check.py and confirm zero errors before reporting completion.

Quality Bar & Anti-Scope

It's working if...

  • python3 scripts/self_check.py exits 0.
  • Outputs match the DESIGN:OS 2:1 axonometric B&W art direction and deterministic verification gates.
  • Execution remains 100% local with zero external telemetry (PRIVACY.md).

When NOT to use

  • Throwaway backend scripts with zero user-facing UI, CLI, or documentation surface.
  • Teams looking for a hosted cloud SaaS design tool rather than a local-first, git-tracked engineering toolchain.
  • Replacing human brand strategy — DESIGN:OS enforces and scales design systems, not customer discovery.

Frequently asked questions

What does the Design Os AI skill do?

Use when working with DESIGN:OS CLI — Multi-runtime design operating system and CLI for Claude Code, OpenAI Codex, Gemini CLI, and Google Antigravity.

Why use Design Os on TypingMind?

Because you install it once and use it with any model. Design Os 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 Design Os in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jangtrinh/design-os/tree/main/skills/design-os. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Design Os?

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 Design Os?

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

Is the Design Os AI skill free?

It is published on GitHub by jangtrinh. Check the repository for licensing terms. 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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