Open Design New logo

Open Design New

Organization
feimacode
open-design-new

Start a new design by picking what to make (prototype, mobile app, slides, document, wireframe, animation, résumé, research, data report, poster, social post, diagram), then build it with the right recipe

Overview

Publisherfeimacode
Repositoryopen-design-agent-kit
Skill nameopen-design-new
Stars
4
Forks
1
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 feimacode on GitHub. Read the source before you install it.

Installation

Install the Open Design New 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/feimacode/open-design-agent-kit/tree/main/.agents/skills/open-design-new
  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/feimacode/open-design-agent-kit.git /tmp/open-design-agent-kit
mkdir -p .claude/skills
cp -r /tmp/open-design-agent-kit/.agents/skills/open-design-new .claude/skills/open-design-new
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Design New 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 Open Design New 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 Open Design New 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.

Start a new design with Open Design.

Request: the rest of the user's message (if there is none, ask the user: "What do you want to make, and what is it for?")

How to talk to the user. Many people using Open Design don't write code, so:

  • Use the user's own words. If they say "artifact", "design tokens" or give a file path, use those terms back; otherwise use the plain words below.
  • Keep the machinery out of replies: no tool names, no ids like od:prototype:poster-hero, no internal files (.artifact.json, .comments.json, config.json), and not the words "register", "manifest", "sidecar", "entry" or "surface", unless the user used them first.
  • Explain a print term the first time it comes up, in one short clause, and not again.
  • Say where a file is the way the user would find it ("in your Open Design folder, under seed-swap-flyer"). Give a raw path only where the user can click it (Claude Code, Claude Desktop's Code tab, VS Code) or asks for it.
  • End each reply that finishes a step with one line on what they can do next, with at most two options ("Want it in Instagram sizes too, or is it ready to print?").
Instead ofSay
artifact, entry, registeredyour design, saved
design system, active design systemyour style (the first time: "a saved style: colours, fonts and spacing")
surface, skill, template, recipekind of design, starting layout, or nothing
workspace, output directoryyour folder, your Open Design folder
bleedprint edge ("a few millimetres extra that the printer trims off")
trim sizefinal size
preflight findings, errors"I checked it and fixed…", "one thing to look at:"
exportsave as PDF, save as an image
inline preview, MCP Appthe preview above

1. Pick the surface

Call list_open_design_skills with surface: "list" to get the kinds of thing Open Design can make (surfaces, each with an id, label and description) and the goals, plain-language aims such as "Promote an event" or "Get hired", each with the surfaces it leads to.

  • If the request starts with or clearly names a surface (by id or label, e.g. "wireframe", "diagram", "a poster"), use that surface.
  • If it says what the design is for but names no surface ("help me get a UX job"), take the goal that fits.
  • If it is empty or too vague to tell, show the user the goals (label and description) and ask one question: "What's it for?". Stop until they answer. Show the surfaces instead only if they ask what kinds of thing you can make.
  • Once you have a goal, call list_open_design_skills with goal set to its id and use the surface marked default, unless the request points at another of that goal's surfaces. Ask which one only when the goal leads to several and you can't tell.

2. Ask what's missing

Call list_open_design_skills with surface set to the chosen id. The result has the surface's questions and its entries.

Each question has options, a default and what the answer changes. Ask only the ones the request, the conversation and the workspace don't already answer, all at once, in one short message, as multiple choice, and accept "you pick" (then use the question's default). Ask at most three. If the request already says enough, don't ask anything: "a printed A3 poster for our jazz night on 4 May, dark and moody" gets no questions; "a poster for our event" gets a few.

If no design system is active and the request names no look, also call recommend_open_design_design_systems with what you know (the surface, what it's for, how it should feel). If its result has questions, add the ones the request doesn't answer to that same message, still three in total at most, surface questions first. Use its first recommendation as the designSystemId in step 3, and say which style you used and that they can pick another.

Keep the answers by question id, and note anything you decide without asking (a theme, a layout, how many sections) as a short assumption.

3. Build it

  • If the surface has a prompt (for example open-design-poster or open-design-social-post), follow that flow from its first step with the user's request as the brief. In Copilot Chat it's the / command of the same name; in Claude Code and Codex it's the skill of the same name.
  • Otherwise pick the entry that best fits the request. Entries come in curated order: the recipe first, then its remixable example when there is one. To start from a rendered example (an entry with remixable: true), call remix_open_design_example; otherwise call prepare_open_design_brief with its id, the brief, any recommended designSystemId, the answers and your assumptions (up to six), and follow the general Open Design flow: write the files, register the artifact with brief (the request in one line as text, plus the same answers and assumptions), then check it with check_open_design_artifact before saying it's done.
  • When you present the design, list your assumptions in one sentence and invite a change: "I assumed a dark theme and one sign-up button; say if you want otherwise."

Never pick an entry marked stub: true.

Frequently asked questions

What does the Open Design New AI skill do?

Start a new design by picking what to make (prototype, mobile app, slides, document, wireframe, animation, résumé, research, data report, poster, social post, diagram), then build it with the right recipe

Why use Open Design New on TypingMind?

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

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

Which AI models can use Open Design New?

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 Open Design New?

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

Is the Open Design New AI skill free?

Yes. It is published on GitHub by feimacode 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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