Omd:Setup logo

Omd:Setup

Community
kwakseongjae
omd:setup

Guided setup of the tools the design harness can use — image/video generation channels, browser, encoders. Detects what the user already has, explains pros/cons/costs, asks instead of instructing, and saves choices to .omd/config.json so every later design task reuses them. Trigger: 'omd setup', '도구 셋업', '이미지 생성 뭐 쓸 수 있어', 'configure media', '세팅해줘', 'what can you generate'.

Overview

Publisherkwakseongjae
Repositoryoh-my-design
Skill nameomd:setup
Stars
533
Forks
48
Bundled files
Instructions only
LicenseMIT
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 kwakseongjae on GitHub. Read the source before you install it.

Installation

Install the Omd:Setup 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/kwakseongjae/oh-my-design/tree/main/.claude/skills/omd-setup
  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/kwakseongjae/oh-my-design.git /tmp/oh-my-design
mkdir -p .claude/skills
cp -r /tmp/oh-my-design/.claude/skills/omd-setup .claude/skills/kwakseongjae-omd-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Omd:Setup 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 Omd:Setup 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 Omd:Setup 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.

omd:setup — 가진 것을 찾고, 고르게 하고, 기억한다

원칙 하나: "이거 발급받아라"고 하지 않는다. 이 머신과 계정에 이미 있는 채널을 찾아 보여 주고, 각 채널의 장단점·비용을 설명한 뒤, 사용자가 고른다. 고른 것은 .omd/config.json에 저장돼 이후의 디자인 작업(omd:landing, omd:media, omd:showcase, omd:autopilot)이 자동으로 쓴다. 키 값은 어디에도 기록하지 않는다 — env 이름의 존재 여부만.

절차

1. 감지 (기계)

bash
omd setup detect --json                     # 설치본(기본) — 패키지 루트의 감지 스크립트를 실행한다
node scripts/omd-setup-detect.mjs --json    # 이 레포 안에서 개발할 때만

설치본이 기본 경로다. 결과의 channels[*].present가 사실이다. present: null(claude-in-chrome 등)은 세션의 도구 목록에서 직접 확인한다. 이미 .omd/config.json이 있고 --redo가 아니면 현재 설정을 보여 주고 바꿀지만 묻는다.

2. 설명 (한 번에, 표로)

감지된 채널만 표에 넣는다(없는 것은 "미보유" 한 줄로 접는다 — 발급 안내 금지). 열: 채널 · 무엇을 만드나 · 장점 · 단점 · 비용(외부 발표치임을 명시) · 이 프로젝트에서 쓰는 곳. 예:

채널만드는 것장점단점비용쓰는 곳
grok build이미지·6초 영상로그인만으로 · 벤치 실사용SVG 없음구독landing 히어로·섹션 에셋
Codex $imagegen이미지키 없이 헤드리스, 참조 편집SVG 없음≈$0.03–0.08/장media 래스터
RecraftSVG·style_id유일한 벡터, 브랜드 스타일 재사용유료 키SVG $0.088아이콘·일러스트 세트

3. 문답 (한 배치, 최대 5문)

AskUserQuestion 한 번에 묻는다:

  1. 래스터 이미지 1순위 채널(감지된 것 중) — 권장은 첫 선택지.
  2. SVG·아이콘 세트: Recraft 보유 시 쓸지 / 없으면 인라인 SVG 생성으로 갈지.
  3. 영상: grok image_to_video / Veo / 안 씀.
  4. 브라우저: playwright(결정론) / claude-in-chrome(로그인 세션) / aside.
  5. 비용 상한: 작업당 자산 세트 예산(기본 $1). 무인 모드면 각 문항의 첫 선택지를 고르고 autoSelected로 기록한다.

4. 저장

.omd/config.json:

json
{
  "version": 1,
  "updatedAt": "<ISO8601>",
  "media": { "image": ["grok-build", "codex-imagegen"], "svg": "inline" , "video": "grok-build", "budgetUsdPerSet": 1 },
  "browser": "playwright",
  "detected": { "<channel>": { "present": true, "version": "…" } },
  "notes": "사용자가 고른 이유 한 줄"
}

.omd/preferences.md에 pending 한 줄을 남긴다: "도구 설정 — <요약> (omd:setup, <날짜>)". 키 값은 쓰지 않는다.

5. 다음 행동 제안 (한 줄)

설정이 끝나면 지금 바로 해볼 수 있는 것 하나를 제안한다 — 예: "omd:landing toss 로 원페이지를 만들면 grok build로 에셋 5장을 생성하고 showcase 영상까지 냅니다."

소비자 (이 설정을 읽는 스킬)

  • omd:media / omd-codex-image — media.image[0]부터 시도, 실패 시 다음 채널, 전부 없으면 프롬프트 팩 + 큐.
  • omd:landing 3단계 에셋 — 같은 순서. budgetUsdPerSet 초과 시 중단하고 보고.
  • omd:showcase — ffmpeg 부재면 프레임 PNG만 남기고 안내.
  • omd doctor — .omd/config.json이 있으면 채널·예산 요약을 한 줄로 보여 준다.

하드 룰

  • 발급·결제·가입을 지시하지 않는다. 없는 채널은 "없음"으로 표시하고 대안(인라인 SVG·소싱·프롬프트 팩)을 제시한다.
  • 키 값·토큰을 파일·로그·대화에 쓰지 않는다.
  • 사용자가 고르기 전에는 아무 채널도 기본값으로 굳히지 않는다(무인 모드 제외, 그때도 기록).

Frequently asked questions

What does the Omd:Setup AI skill do?

Guided setup of the tools the design harness can use — image/video generation channels, browser, encoders. Detects what the user already has, explains pros/cons/costs, asks instead of instructing, and saves choices to .omd/config.json so every later design task reuses them. Trigger: 'omd setup', '도구 셋업', '이미지 생성 뭐 쓸 수 있어', 'configure media', '세팅해줘', 'what can you generate'.

Why use Omd:Setup on TypingMind?

Because you install it once and use it with any model. Omd:Setup 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 Omd:Setup in TypingMind?

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

Which AI models can use Omd:Setup?

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 Omd:Setup?

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

Is the Omd:Setup AI skill free?

Yes. It is published on GitHub by kwakseongjae 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

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇